Orbition Group Engagement Hub

Data Engineer

London

Permanent

Full-time

Published date:

2021-10-13

Summary

Job Description: Data Engineer (£40,000 - £60,000 depending on experience, discretionary bonus plus enhanced benefits -

including unlimited paid annual leave, discounted gym membership and more)

Role overview (click here to find out more about Profusion and staff benefits):

We are looking for an outstanding Data Engineer to join our growing analytics and data science team. The

successful person will have the opportunity to work with blue-chip clients on cutting-edge data science and

innovative data driven marketing solutions. Many of our clients are embarking on game-changing digital

and data transformation projects that will fundamentally change how they operate. You will be in a pivotal

position to help our clients and Profusion undertake these cutting-edge projects that have industry-wide

impact.

The ideal candidate is a Data Engineer with strong SQL and Python skills and previous experience working

with APIs as well as designing and maintaining ETL pipelines that gather and transform data from different

sources.

You will have great potential for personal and career development and will learn from and share knowledge

with a range of talented, highly skilled and an internationally diverse team of colleagues. This is an exciting

journey to be on with a pioneering, fast-growing company situated at the heart of London’s Tech City.

Key responsibilities

This is a team-based role, where the project work is varied and shared amongst other engineers so you will not just be focused on one part of the process. Being able to see the big picture and work collaboratively is critical.

• Working with a team of analysts, data scientists and data engineers amongst other stakeholders to

identify and implement best solutions for the analytical needs of a project

• Contributing to architectural designs, engaging in technical discussions and presenting solutions to

product challenges

• Work with our technical partners and suppliers to ensure their technology is implemented for our

internal requirements and for our client projects

• Work with our internal operations team to ensure a robust business intelligence architecture is in

place across all sections of the business

• Heavily involved in the building and development of the architecture and engineering process of

projects including building API’s as well as other scripts to set up and automate engineering

pipelines and solutions

• Create and maintain optimal data pipeline architecture

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design and implement internal process improvements: automating manual processes,

optimising data delivery, re-designing infrastructure for greater scalability, etc.

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with

data-related technical issues and support their data infrastructure needs.

• Create data tools for analytics and data scientist team members that assist them in building and

optimising our products and services into an innovative industry leader.

• Work with the commercial and sales teams, supporting client meetings, pitches and add value to

client proposals, new business strategy and company case studies.

https://www.profusion.com/careers/

Personal Specification: Experience and Skills

We are looking for an experienced candidate with relevant prior experience in Data Engineering.

Technical Skills Essential

• Advanced SQL knowledge as well as familiarity with different SQL dialects (PostgreSQL, Oracle,

MySQL)

• Advanced Python programming

• Proven experience of the creation of ETL pipelines/processed to ingest data from an API

• Commercial experience of using Docker

• Experience in database design (table schemas, indexes, primary/foreign keys, updating logic, data

purging logic etc)

• Experience with cloud computing (preferably AWS)

Desirable

• Understanding of Agile methodologies

• Commercial experience of using Airflow

• Understanding of broader cloud computing, especially AWS (S3, Lambda, API Gateway, Redshift,

micro-services and serverless architecture, IAM authentication and policy management)

• Understanding of network infrastructure and strong aptitude for using Linux

• Understanding of DevOps principles and methodologies

• Additional programming language knowledge such as R, Bash and JS

Personal skills and competencies

• Strong problem-solving skills, willingness to take ownership and risks, and enthusiasm in the face of

technical challenges

• Strong organisational skills, with the ability to prioritise and meet deadlines in a calm and effective

way

• Excellent interpersonal skills and the ability to work in a team environment

• Strong communication skills, with the ability to support client meetings

• Client focused, with the ability to interpret and understand client needs and deliver results

• The ability to understand the wider company operations, goals and objectives and where data

engineering can add value

• A proactive approach and the ability to be self -managing and innovative.

PLEASE NOTE

Due to the nature of some of our clients, the successful candidate must be able to achieve the appropriate

level of Security Clearance, which for this role is SC Level

To enable meaningful checks to be carried out, you will need to have lived in the UK for a sufficient period. To undergo an SC Level vetting process, you must normally have resided in the UK for a minimum of 3 out of the last 5 years.

How to apply

If you are passionate about a career in data engineering and you meet the requirements above, please

email your CV with a cover letter (no more than 2 sides of A4) outlining why you would be ideal for the role

to: people@profusion.com (Closing date for applications is the 27th of August)

Please note that because of the high number of applications we typically receive, it is not possible to

answer everyone in person, successful candidates will hear from us within 2 weeks of the closing date.

Read More Apply Now

Data Scientist

Accrington

Permanent

Full-time

Published date:

2021-10-01

Summary

Data Scientist

£35,000 to £44,000 (depending on skills and experience)

(Please note: you must have the right to work in the UK without sponsorship)

Based in the North- West Orbitions client are one of the country’s fastest-growing Retail and E-commerce companies in the UK.

Having recently been joined by one of the Data IQ Top 100, and the inception of a new 30 strong, analytics team, this is a fantastic opportunity to join a growing and thriving business.

The company boasts a strong and leading data academy, to push training and development, but they also run a peer-to-peer coaching/mentor scheme, which you will be asked to contribute to and participate in.

This scheme is aimed to utilise the team’s wealth of skills and help to drive a data excellence culture, whilst allowing you to upskill.

Role:

As part of the new expansion, they are looking to take on a Data Scientist, someone who can Establish and support the creation, development and insight of Data Products, (new and existing) to drive commercial value from data assets.

This role requires someone who isn't afraid of a challenge as the business is in the process of transitioning from legacy systems, requiring the individual to excel at communication and soft skills as well at technical; whilst offering a clear progression and development opportunity.

Accountabilities:

Develop both internal and partnership with select third parties’ data science products which will drive value for the business
Collaborate with stakeholders to take data science products through from test to deployment, whilst also ensuring user adoption within the business
Monitor integrated data science products to ensure ongoing effectiveness and to tack benefits
Support in identifying opportunities for new data science techniques and concepts to be developed that could drive value
Adhere to, champion, and seek to improve Enterprise Data Products and Insight processes and best practices

Required:

BSc or MSc in numerate subject (Maths / Stats / Engineering / Computer Science)
Strong commercial acumen and experience in delivering data science in a commercial setting
An understanding of machine learning and statistical and predictive modelling techniques such as regression, classification, neural networks and clustering
Proficient in SQL and other languages such as Python; able to query, cleanse, manipulate and analyse data
Ability to build trust and rapport with business stakeholders to build effective relationships
Ability to explain the analysis and analytical concepts and recommendations clearly and succinctly
Aptitude and attitude for increasing technical skills
Excellent critical thinking and solution creation skills
Excellent problem solver
Curious in nature and a proactive self-starter

Please note this role require some on-site activity so commutability is required.

Read More Apply Now

Data Strategy Director

London

Permanent

Full-time

Published date:

2021-09-10

Summary

Job Description: Data Strategy Director

(Competitive salary, plus enhanced benefits, and discretionary bonus)

Role overview (click here to find out more about Profusion and the benefits we offer our team):

Profusion is a leading customer and business analytics agency, who work with companies large and small to monetise their data. We specialise in data strategy, predictive modelling and email marketing, and provide a full suite of services for our clients ranging from consultancy advice, through to the creation and execution of innovation projects and marketing campaigns. Our partnerships with universities ensure we bring the latest academic thinking into the commercial world and allows our team to work with and learn from specialist professors in their day-to-day roles.

There’s more to us than simply crunching numbers or providing clever technology – we want to make a real difference to people’s lives. Our Data Academy recruits, and trains data teams and we run education programmes to drive new people into the profession with a strong focus on social mobility and increasing under- represented groups. We have also launched our Data Ethics Advisory Board in 2021 and have some highly prominent leaders from big companies and the data space coming together to solve some of the ethics challenges in the sector. We are innovating and investing significantly in this work over the coming year and look to launch our Data Ethic proposition in 2022 and want to become the standard for the sector. Our philanthropic foundation, Profusion Cares, is where we try to use data for good, channelling the skills and spirit of our people into making social impact.

We are currently looking for an outstanding Data Strategy Director to work directly with our clients, reporting to our Chief Strategy Officer. If you are successful, you will have the opportunity to work with blue-chip clients on cutting-edge data science projects and data-powered marketing campaigns. Many of our clients are embarking on major digital and data transformation projects that will fundamentally change how they operate. You will be brainstorming with the team and our clients, advising our clients on the best way to achieve their outcomes, and challenging and supporting the Profusion team to make these happen. You will have a key role in supporting our Account Management and Commercial teams to understand the opportunities data science solutions can offer to tackle the challenges our clients are facing. You will also have the chance to get involved in our Data Academy and help to support the design and delivery of training modules, as well as the opportunity to input into our Data Ethics work and ambitions.

The ideal candidate will be experienced in customer data and in helping clients with their most critical strategic business initiatives, and data science-led business solutions. They will have experience in corralling a team of technical experts to discover and understand opportunities with clients' data and present learnings back to stakeholders to create actionable insights. They will enjoy running strategy workshops, attending sales pitches and client sessions to provide expert input.

You will have good potential for personal and career development, learn from and share knowledge with a range of talented, highly skilled and internationally diverse team of colleagues. All of this while embarking on an exciting journey with a pioneering, fast-growing company situated at the heart of London’s Tech City.

Key responsibilities

As a Data Strategy Director, you will:

Advise our clients on how Data Science can improve their business.
Build new data strategies for our clients, and work with our data scientists, engineers, data visualisers and the client to implement, review and refresh these strategies.
Build and sustain long-lasting relationships with key client stakeholders, and our partners.
Own and lead business pitches and proposals, creating the solution and project scope whilst setting client expectations.
Work with our team of data scientists, engineers, data visualisers and our developers to design and deliver complex projects to our clients.
Review the development of software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences.
Design research plans for data gathering and analysis.
Work with our Head of Product to design and deliver new products for our clients.
Stay on top of the latest relevant data science trends to share with clients and the Profusion team.
Up-skill our Account and New Business teams in the latest trends and opportunities to use data to solve our client's data challenges and support their professional growth.
As the organisation grows, be able to manage a small team of consultants to support our clients’ strategies.
Have the opportunity to input into our Data Academy and its offerings, including with the design and delivery of training modules to business.
Any other ad hoc duties and responsibilities the role may require.

Personal Specification: Knowledge, Experience and Skills

You will combine strong business acumen with solid analytical skills. Problem-solving will be a key focus of the role. You will have a background in a data science or data consultancy, ideally within consulting, media agencies or ad tech companies and be passionate about improving organisations by harnessing the power of data.

Knowledge & Experience

Strong experience in delivering data and analytics initiatives.
Experience in a similar consulting or strategy role.
Experience in facilitating client workshops and pitch meetings is highly desirable.
Good understanding of data and analytics tools and techniques to be productive in high-level analysis tasks - specifically Python and R would be useful.
Understanding of mathematics and statistical methods to efficiently interact with senior business stakeholders, quantitative analysts and data scientists.
Demonstrable hands-on technical experience with one or more of the following:
- Data management and governance frameworks used in the industry.
- Data modelling techniques and tools.
- Data science and machine learning techniques and frameworks.
- Cloud and big data technologies and initiatives.
Experience in managing teams is desirable.

Essential Skills

Strong analytical skills contributing to a deep understanding of data science and big data to build credibility with internal teams and external clients.
A demonstrable core strategic consulting skillset – you are solution-led, with the ability to act in a trusted advisor capacity and the ability to build strong relationships and rapport with clients to deliver concrete results.
Stellar written and verbal communications skills: you are able to explain very complex problems simply and effectively to those who are not experts in the subject.
Strong commercial acumen: you have the ability to spot and develop commercial opportunities.
A lateral thinker, able to juggle multiple projects, bids and team responsibilities in a fast-paced environment.
An eye for detail and the big picture.
Confident presenting to clients and senior stakeholders.
Coaching and leadership skills are an advantage.

How to apply: If you are passionate about a career in data strategy and you meet the requirements above, please email your CV with a cover letter (no more than two sides of A4) outlining why you would be ideal for the role to: recruitment@profusion.com

Read More Apply Now

Head of Data & Analytics

UK (Remote)

Permanent

Full-time

Published date:

2021-09-08

Summary

Data & Analytics | July 2021

Early view on business requirements and current capability

• Significant opportunity to utilise data to drive sales, marketing, pricing and partner experience

• Business is data-rich but we now need to industrialise extraction, integration and reporting

• Also likely high demand for ad hoc analysis to support business planning

• Today we have activity across the business – first centralise, then provide self-serve

• New capability is also needed to accelerate value opportunity in Data & Analytics

Early view of opportunities and data priorities

Sales Marketing MI

Phase I Partner x-sell segments X-sell enablement Weekly & monthly reporting

Billing data and look-a-likes Ad hoc analysis

Integrate x-sell into CRM

Phase II Partner dash-boards New Partner on-boarding Weekly sales reporting

Pricing and margins Target declining spend Operations and service

Supplier reporting

Phase III Append third-party data Campaign automation Self-serve

SOW and new bus. targets Multi-channel view

Platform UX metrics

Head of Data & Analytics Responsibilities:  Create and develop the data and analytics function for the group, consolidating both existing activities and new skills

into a single effective team

 Build the data platform and structures to support the use of customer data and business information across the group

 Spearhead the segmentation and analytical work to make customer data actionable in driving revenue growth and margin enhancement

 Ensure that appropriate customer data is integrated into CRM systems, sales and marketing processes for effective use

 Select and manage the supporting technology and tools to facilitate effective development of the data and analytics function

 Determine and manage the engineering processes that ensure data integrity, timeliness and consistency for its users

 Build out BI reporting for key stakeholders and functions across the business, automate and providing self-serve capability and training

Candidate requirements:

 Experience of building or leading data and analytics teams at a similar scale to DWS, or possibly having been a strong number two

 Ability to operate effectively as a senior manager in the business: influencing commercial decision making and managing high demand for data and analytics support

 Relevant experience in the key analytical areas that will drive growth: customer segmentation and value analysis, pricing, campaign selection and automation, third-party data integration

 Hands-on and recent experience of utilising the technology and tools to be adopted by the team

 Strong academic background in mathematics, statistic or related fields and ability to demonstrate continued professional development

Read More Apply Now

Data Academy Lead

East Coast USA- Remote

Permanent

Full-time

Published date:

2021-08-23

Summary

Data Academy Lead (Business Intelligence Analyst/Developer)

Description

About this Opportunity

Part of Herman Miller's Data and Analytics group, the Data Academy Lead is not your typical

Business Intelligence role. The Data Academy supports Herman Miller in continuing to use data to

drive decisions and will be the link between data and the business, providing direction to Data

Engineers on data models, developing data visualization and reports, and working with the business

to educate, advise, and enhance reporting capabilities and analytical insights. You'll to interact and

work across many areas of our B2B and B2C organization with opportunities to learn about different

areas of the business as well as to be creative in how you are able to drive value and show impact.

What You'll Do

You'll have opportunities to speak up, solve problems, lead others, and be an owner every day as

you...

• Analyze datasets via SQL to unravel data integrity issues and help troubleshoot data

problems.

• Assist in administrative tasks to maintain Business Intelligence platforms.

• Be a self-service advocate.

• Develop business partnerships, enable access to their data, and help educate and turn

insights into action.

• Develop data visualizations, dashboards, and reports using Tableau or Business Objects.

• Gather and refine reporting requirements from business stakeholders.

• Plan and coordinate user acceptance test (UAT) for BI/Reporting solution while collaborating

with business stakeholders and product owners.

• Provide direction to the business on how to evolve current capabilities.

• Provide training and documentation to increase the development of self-service capabilities

and the businesses understanding.

• Support data engineering with requirements to support data modeling and metadata layer.

• Collaborate with the data team to suggestion solutions for continuous improvements in data

quality and management.

• Perform additional responsibilities as requested to achieve business objectives.

Sound Like You?

You might be just who we’re looking for if you have...

• A Bachelor's degree in Computer Science, Statistics, Finance, Information Technology,

Business Analytics, or a related field.

• Two years of experience working with modern data and analytics teams in high-growth,

high-performance environments.

• Two years of business intelligence experience.

• Advanced SQL and Tableau development skills.

• Experience developing dynamic and parameterized reports and dashboards that render per

business inputs.

• Experience developing custom calculations in reports and dashboards that leverage pre-

defined date, string, mathematical, and statistical functions.

• Experience performance tuning reports, dashboards, and SQL queries by analyzing various

dependent parameters.

• Experience using other data visualizing or reporting platforms a plus.

• Experience designing and developing insightful business dashboard and reports.

• Problem-solving skills to visualize business user problems and devise creative BI solutions

with the least resistant path.

• A passion for data and ways to visualize it.

• Knowledge of the current retail landscape and trends associated and business models that

are influencing retail market (a plus).

• Outstanding written/verbal communication skills and the ability to present complex

concepts in a concise and understandable way.

• High ownership and accountability for assigned projects and tasks and the ability to meet

tight timelines.

• Exceptional problem-solving skills and the ability to communicate to both technical and non-

technical audiences.

• The ability to perform all essential job functions of the position with or without

accommodations.

Who We Are

At Herman Miller, our unique culture represents the collective attitudes, ideas, and experiences of

the people who work here. We focus on protecting the environment, impacting our communities,

exceeding the expectations of our customers through high quality products, and championing

diversity in all areas of the business, and together we are on a journey toward a better world. We

support the well-being of our employees in and outside of work by providing a variety of

opportunities including award-winning work-life integration resources, development programs,

complex health and wellness offerings, and much more.

Herman Miller is a globally recognized provider of furnishings and related technologies and services.

Headquartered in West Michigan, we have relied on innovative design for over 100 years to solve

problems for people wherever they work, live, learn, and heal.

Herman Miller is committed to diversity and inclusion. We are an equal opportunity employer

including veterans and people with disabilities

Read More Apply Now

QA Engineer

London, UK

Permanent

Full-time

Published date:

2021-08-12

Summary

QA Engineer

£50-60,000 (depending on skills and experience)

(Please note: You must have the right to work in the UK without sponsorship)

Based 2 days a week at its HQ in London and 3 days from home, Orbitions client are the country’s most successful, commercial, media and publications company in the UK and Ireland.

With it’s national, regional & online brands reaching a staggering and incredible 47.9 MILLION people every month!

The companies core purpose and values surround being able to utilise it brand to serve communities by creating prominent champions, campaigners and changemakers through its services.

Due to an incredible period of growth and development the company are looking to expand and grow its Data and Analytics function and invite 3 QA Engineers to join a fast growing and dynamic team. Embed in a development team and collaborating with other QA Engineers.

You’ll have experience carrying out manual & automated testing using a variety of tools, experience working as an advocate for quality and have experience with cloud technologies such as Amazon Web Services.

Key Responsibilities

Working with an established development team on business critical, customer facing technologies.
Responsible for carrying out manual testing for all new features developed by the team as well as developing automated tests to serve as regression tests going forwards.
An advocate for quality in all aspects of the software development lifecycle and be involved in defining the acceptance criteria for new features and responsible for ensuring features built adhere to that criteria.
Responsible for prioritising and managing your own workload, and will be expected to share their work progress and feedback with others.

The Ideal Candidate

Customer centric with a focus on deepening customer loyalty.
An expert at identifying ways to improve the customer experience.
A fan of data and a believer in the opportunities it can unlock.
A confident and articulate communicator capable of inspiring strong collaboration within an organisation and between teams.
Confident at managing multiple projects and deadlines simultaneously.
A self-starter with a can-do, will-do attitude.
We are looking for people who are inquisitive, proactive and keen to be challenged, care deeply about the code they test and are able to bridge the gap between the technical and the business areas of the company effectively. We want people who look farther than the technical aspects of the work and care deeply about the human aspect of our products.

Qualifications & Experience

Experience carrying out manual & automated testing using a variety of tools, experience working as an advocate for quality and have experience with cloud technologies such as Amazon Web Services.
Have ISTQB/ISEB Foundation certifications or equivalent certifications as a minimum and be comfortable discussing technical aspects of projects with other testers, developers & business owners.
Understands the Software development lifecycle and the need for manual testing.
A strong background in manual and automated test techniques.
Experience using automation tools such as Cypress, Mocha/Jest, Nightwatch.
Experience working with and testing REST APIs.
Understands where & when automation testing fits into an SDLC specifically Agile (Scrum, Kanban, etc).
A strong background in writing automated functional and integration tests in Node.js.
Can-do, positive attitude, proactive approach to problem solving.
Persistent and committed attitude to ship great products, testing features effectively, communicating, listening and iterating from there.
The following are considered desirable skills to have: Version control (ideally GIT), cloud technologies, test management tools, knowledge of Rest API technologies, JIRA

Package Description

Salary up to £50-60,000 (depending on experience) and benefits including;

Hybrid working 2 days in London & 3 Days working remotely
25 days holiday
Healthcare & Dental
Contributory pension scheme
Holiday purchase scheme
Free wellbeing apps and coaching support
Extensive high street discounts

Read More Apply Now

Senior Datawarehouse Engineer -

Remote

Permanent

Full-time

Published date:

2021-08-11

Summary

Senior Datawarehouse Engineer

Up to £85,000 (depending on skills and experience)

(Please note: You must have the right to work in the UK without sponsorship)

Based remotely but with its HQ in London, Orbitions client are the country’s most successful, commercial, media and publications company in the UK and Ireland.

With it’s national, regional & online brands reaching a staggering and incredible 47.9 MILLION people every month!

The companies core purpose and values surround being able to utilise it brand to serve community's by creating prominent champions, campaigners and change makers through its services.

Due to an incredible period of growth and development the company are looking to expand and grow its Data and Analytic's function and invite a Senior Datawarehouse Engineer to lead the design and implementation of an enterprise data warehouse (EDW).

Utilising Tableau as their visualisation platform, dashboards are sourced from data held within a customer data lake housed within AWS. Currently the business intelligence team uses queries built in Athena to create tables and views that support the dashboards within Tableau. Our client is looking to create an EDW to improve the reporting capability within the business intelligence team.

As the data lake already exists within the AWS suite of services, Redshift has been chosen as the platform to house the EDW.

There are multiple sources of data that are brought into the data lake via the Ingestion team.

Working closely with the Ingestion team and Data Architect, you will gain an understanding of the current data. This will feed into how the EDW will need to be configured in order to take advantage of MPP within Redshift amongst other features. The EDW alongside the data lake will be used to power reporting and analytics across the organisation. Due to the nature of the analytics and data science teams within the business, there is a requirement for data marts to be included in the design.

Key Responsibilities

You will be responsible for setting up the Redshift platform. In particular creating the correct clusters configuration for our data needs.
You will own the maintenance and upkeep of the Redshift platform.
Responsibility for technical security implementation, and enforcement of compliance and security guidelines within Redshift.
Liaise with the Ingestion team engineers and Senior Data warehouse Engineer to help plan the data migration of data from the data lake (and other sources) to Redshift.
Utilise your understanding of the architecture of the Redshift platform, in order to determine the correct approach to distribution styles and sort keys when creating tables.
Lead on best practices for configuration, tuning, backup, archiving, disaster recovery and performance monitoring and maintenance of Redshift.
This includes ensuring Vacuuming is done when having the least impact on the business.
Use the monitoring console to monitor the cluster performance from both a query run time (tuning) and financial cost perspective.
Work with the database modellers to create the necessary tables and views needed facilitate effective reporting within Tableau.
Understand requirements from teams like data scientists or external analysts to create data marts to service their needs.
Provide database support by coding utilities, responding to user questions, and resolving problems as they arise.
You will be reading Entity Relationship Diagrams and Conceptual Data models.

You Must have

6+ years working with data warehouse’s in an architect or administrator role, ideally including roles in media companies or technology companies.
MUST be strong with Redshift. Building new enterprise DW in Redshift from scratch.
Extensive hands-on experience with the varied AWS services and knowledge of their limitations.
Experience building pipelines and orchestration of workflows in an enterprise environment.
Experience in optimizing the cost for service being utilised on AWS in particular Redshift.
Thorough, in-depth knowledge of the AWS tooling landscape.
Good database architecture knowledge specifically Redshift.
Proven PostgresSQL experience (database and development skills).
Proven with data management and governance in large scale with big data.
Good understanding of batch data processing.
Proficiency with Python.
Experience with other programming and machine learning languages is a plus.
Understanding of the Kimball methodology for data warehousing where and when to apply to take advantage of MPP Redshift.
Good experience of CI/CD and AWS SAM.
Expert knowledge and experience of OLAP, Data Mart and Data warehouse Data Models.

Package Description

Salary up to £85,000 (depending on experience) and benefits including;

100% home based
25 days holiday
Healthcare & Dental
Contributory pension scheme
Holiday purchase scheme
Free wellbeing apps and coaching support
Extensive high street discount

Read More Apply Now

Senior Data Engineer

Remote

Permanent

Full-time

Published date:

2021-08-11

Summary

Senior Data Engineer (Big Data)
£85,000- £100,000 (depending on skills and experience)
(Please note: You must have the right to work in the UK without sponsorship)

Based remotely but with its HQ in London, Orbitions client are the country’s most successful, commercial, media and publications company in the UK and Ireland.

With it’s national, regional & online brands reaching a staggering and incredible 47.9 MILLION people every month!

The companies core purpose and values surround being able to utilise it brand to serve community's by creating prominent champions, campaigners and change makers through its services.

Due to an incredible period of growth and development the company are looking to expand and grow its Data and Analytic's function and invite a Senior Data Engineer with experience working in big data, to join their cutting-edge Data Products team, working with machine learning and their data lake and in-house analytic's platform.

This role will best suite someone who can leverage their experience working with software development and big data to design, build and deploy solutions and ensure the business can plan work effectively and ensure documentation, schemas, tests, and testing strategies are in place to support the team and the products they develop and maintain.

You will need previous experience working in an agile environment, ideally with prior experience working in cross functional teams, can help mentor and support junior members, through scoping, planning, estimation and developing solutions.

Key Responsibilities

You will be interacting with a multidisciplinary team and must be able to mentor and guide data scientists and data engineers about software engineering and cloud computing best practices.
You will also be working with the product manager/product owner, on stories and setting out scope and acceptance criteria for issues and helping to plan sprints.
Experienced in using AWS, (e.g. CloudFormation, EC2, ASG, Lambda, Kinesis, Docker, Drone) both via web console and programmatically (infrastructure-as-code). (Experience in additional platforms such as GCP, Azure is beneficial)
Experience with Big Data, data modelling and appreciation of data architecture and ability to explain data layers to other engineers, data scientists and to external stakeholders. e.g. Experience with Hadoop, AWS Athena, Google BigQuery, DynamoDB, PostgreSQL, Elasticsearch.
Able to suggest and implement improvements to automation, monitoring, integration and unit testing, deployment pipelines, system architecture and documentation.
e.g. Knowledge of one of Python, JavaScript / TypeScript, GoLang

Package Description

Salary up to £85,000 (depending on experience) and benefits including;

100% home based or 1-2 days in London office (your choice)
25 days holiday
Healthcare & Dental
Contributory pension scheme
Holiday purchase scheme
Free wellbeing apps and coaching support
Extensive high street discounts

Read More Apply Now

Data Analyst (Supply & Merchandising)

Accrington- Remote

Permanent

Full-time

Published date:

2021-07-30

Summary

Data and Insights Analyst

£30,000 to £40,000 (depending on skills and experience)

(Please note: you must have the right to work in the UK without sponsorship)

Based in the Northwest, Orbitions client are one of the country’s fastest growing Retail and Ecommerce companies in the UK.

Having recently been joined by one of the Data IQ Top 100, and the inception of a new 30 strong, analytics team, this is a fantastic opportunity to join a growing and thriving business.

The company boasts a strong and leading data academy, to push training and development, but they also run a peer-to-peer coaching/mentor scheme. This scheme is aimed to utilise the team’s wealth of skills and help to drive a data excellence culture, whilst allowing you to up skill.

Role

A brand-new position for a Data and Insights Analyst, has been created with the focus of driving improvements and insight through meaningful analytics with in the digital space and focused at optimising the companies stock, merchandising and supply chain. This role will utilise digital & trading data and intelligence tools to analyse category, product, and customer behaviour, performance and trends, to support the optimisation of the business’s digital strategy.

Accountabilities

Understand business questions and challenges from business stakeholders
Prepare and analyse data to answer those questions
Utilise digital/web intelligence tools to analyse category, product, and customer behaviour, interpreting trends and insight for business benefit
Utilise digital insights to recommend courses of action, focusing on optimising ecommerce performance
Manage and maintain reports/dashboards, adding features/functionality and troubleshooting as required
Adhere to, champion, and seek to improve Enterprise Data Products and digital insight processes and best practices

Required

2 years+ experience in analysis / data science

Ability to interpret web traffic, customer behaviours, trading performance, and other vital metrics
Demonstratable experience of working with SQL

Experience with dashboarding tools such as Tableau, Qlik, and/or Power BI and the ability to use the data to tell a story.

Experience of competitor analysis and identifying market trends, as well as an understanding of retail supply chain

Strong presentation skills (verbal and written)
Experience working in a dynamic marketing department with customer focussed analysis
Ability to build trust and rapport with business users
Ability to explain data, dashboard, and data science and recommendations clearly and succinctly
Skilled in requirements gathering/analysis
Ability to cleanse, manipulate, and analyse data with tools/languages such as Excel, SQL, and Alteryx
Successful delivery of reports using different reporting tools such as Business Objects and/or Excel
Experience delivering as part of an Agile team preferred
Aptitude and attitude for increasing technical skills
Excellent critical thinking and solution creation skills
Ability to deliver in a fast-paced and dynamic environment
Experience in effectively managing a range of tasks and priorities, simultaneously

This role will operate remotely but there will be some expectation to attend office HQ (as defined by the company).

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Digital Marketing Analyst

Accrington

Permanent

Full-time

Published date:

2021-07-15

Summary

Role Title:	Sr Data Analyst – Marketing Spoke	Department:	Enterprise Data Products and Insight	Level:
Direct Reports:	None	Reports To:	Product Owner, Marketing Data Products and Insight	Version:	2.0- 25-1-2021

Role Purpose:

Key Accountabilities

Drive improvements and insight to marketing and customer department using insightful analytics and understanding Studio’s customer.

To use data to conduct analysis, build and maintain reports/dashboards answering -whether ad-hoc or on an ongoing basis.

To coach/mentor more junior analysts and helping them to drive value from data.

Understand business questions and challenges from business users and use insights to drive action
Prepare and analyse data to answer the business question(s)
Extract insights from data analysis to communicate the answer(s) to the business question(s), iterating as required, and then release them to business users
Adhere to, champion, and seek to improve Enterprise Data Products and Insight processes and best practices
Providing coaching, support and guidance to data analysts, contributing to building data analyst capabilities to meet the requirements of Enterprise Data Products and Insight and business needs

Key Accountabilities:	Key Measures of Success:
Understand business questions and challenges from business users. Work collaboratively with business users to understand their requirements Understand the underlying questions/concerns which are motivating the requests for data As a data subject matter expert, help business users understand the art of the possible Identify if existing reports/dashboards address these questions Proactively identify related questions or additional challenges business users might have where data could be of assistance	Positive feedback from business users around the ease of collaboration Reduction of number of highly similar reports
Prepare and analyse data to answer the business question(s) Locate and select appropriate data and datasets to address the question(s), working with analysts as appropriate Cleanse and prepare data using appropriate tools/techniques (for example, R, Alteryx) Define business metrics and hypothesis for analysis Knowledge and understanding of existing data assets Where additional data from new source systems is required, or new metrics need to be created in the data warehouse, liaise with Product Owner for Data Platforms and Tools to get it added to the Data Delivery backlog	Timely completion of data cleansing activities Correct identification of appropriate data sources to use Appropriate metric definitions
Extract insights from data analysis to communicate the answer(s) to the business question(s), iterating as required, and then release them to business users Using tools like Alteryx and PowerBI, extract and profile data to help stakeholders answer business questions Present data in a way that helps stakeholders to see trends and insights which help to paint a picture about what the data is telling them Visualisation and unpicking layer upon layer of data is the senior analysts role so that all analysts delivery insights and data stories to stakeholders	Positive feedback from business users around the ease of collaboration and value added from data and reports

Adhere to, champion, and seek to improve Enterprise Data Products and Insight processes and best practices Participate in the Agile ceremonies, such as sprint reviews, sprint planning, show and tells, and daily standups Identify opportunities for improvement, recommending solutions to drive optimal delivery processes and practices Identify new tech and analysis techniques which optimise the output of the team and help to deliver more insightful analysis to the stakeholders	Processes and best practices adhered to Quality and design standards are met
Providing coaching, support and guidance to data analysts, contributing to building data analyst capabilities to meet the requirements of Enterprise Data Products and Insight and business needs Proactively coaching and developing data analysts to support building Data Products and Insight capabilities, in order to meet the needs of the business Providing guidance and support to data analysts in navigating both technical and stakeholder management challenges, and proactively sharing best practice approaches and ways of developing and delivery optimal solutions and systems Maintaining own and sharing best practice in the development of reports and dashboards, providing challenge to ensure that maintenance and technical debt are minimised Supporting recruitment and on-boarding of new colleagues	Data Analyst feedback at expected levels Reduction in technical debt across data analysts assigned for coaching
Key Enablers (knowledge, skills and experience):
5 years+ experience in analysis / data science Strong presentation skills (verbal and written) Experience working in a dynamic marketing department with customer focussed analysis Ability to build trust and rapport with business users Ability to explain data, dashboard, and data science and recommendations clearly and succinctly Skilled in requirements gathering/analysis Ability to cleanse, manipulate, and analyse data with tools/languages such as Excel, SQL, and Alteryx Successful delivery of reports using different reporting tools such as Business Objects and/or Excel Experience with dashboarding tools such as Tableau, Qlik, and/or Power BI a plus Experience delivering as part of an Agile team preferred Aptitude and attitude for increasing technical skills Excellent critical thinking and solution creation skills Ability to deliver in a fast-paced and dynamic environment Experience in effectively managing a range of tasks and priorities, simultaneously Experience with campaign data, and Google Analytics a plus

Our Values descriptors for role

TO BE ADDED TO THE DOCUMENT

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