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Permanent | Remote | £50k

A major charity that supports children, young people and families is looking for an Insight and Performance Manager to identify and rationalise key data and information required to drive growth, service performance and corporate effectiveness across the organisation.

The role will involve leading the analysis, businesses information and selections functions within a multi-disciplinary team of data specialists and embedding business information as a distinct standalone function within the charity. This includes facilitating colleagues to ‘surface’ the key questions and deliver actionable recommendations that offer real measurable value to the charity and deliver analysis of internal activities in relation to income and engagement.

You will be responsible for publishing and presenting new insight in intuitive and easy to interpret formats, ensuring key stakeholders have access and understanding of key organisational information in relation to performance against strategic and team-based objectives.

The role will also be responsible for delivering timely marketing selections and managing the transition towards planned supporter journeys, ensuring the effective contact of supporters in ways that adhere to compliance regulations.

The successful candidate must be prepared to travel to other locations throughout the UK, occasionally staying overnight.

Main Responsibilities

Strategy and planning

  • Deliver team strategy and plans that respond to different directorate strategies and requirements for analysis and insight.
  • Deliver a clear plan for the ‘Visualising Insight’ strand of the Data and Impact corporate workstream, ensuring this is kept up to date and clearly communicated to stakeholders.
  • Keep up to date with sector best practice to feed into and champion data policy and strategy and ensure these are interpreted and communicated.

Team management

  • Manage the day to day operations of the Strategy and Insight team including flexible and responsive resource management.
  • Line manage, supervise, support and quality control the work of the team.
  • Manage the review of campaign performance, supervising methodology, coaching in analysis techniques and guiding interpretation of results.
  • Where needed, implement new process and systems for planning and organising the work of the team.

Business information

  • Develop and embed a Business Information function; creating robust processes for information delivery, measures of success communicating with stakeholders about their needs and schedules for delivery and being the go-to person for this work area.
  • Coordinate a process to define key performance indicators for teams across the charity, including Income and Engagement, Services and Corporate Information.
  • Develop and publish measurement frameworks (on PowerBI) that report on directorate and team performance across the organisation, to measure progress against strategic objectives, providing narrative and insight to inform key stakeholders of position, opportunities and risks.
  • Ensure delivery of accurate, focussed reports to highlight issues of concern and opportunity, presenting findings in a business context, graphs, tables, scenarios and supporting evidence.
  • Coordinate training and support for colleagues so as they can make best use of PowerBI and the Business Information function.
  • Support the Head of Strategy & Insight in making recommendations on forward looking activity or use of resources as appropriate to maximise returns on investments.
  • Continue to test accuracy of frameworks to ensure stakeholders have the best information on their performance and position.
  • Test and develop innovative ways of presenting data to engage and motivate colleagues and improve organisational understanding of data and insight.

Analysis

  • Work with key internal stakeholders to assess how analysis can support and enable their strategic plans, interpreting and predicting their requirements. With a particular focus on enabling teams to understand the key questions they need to answer to drive performance and growth.
  • Coordinate and manage team to undertake analysis to answer priority questions, delivered as accurate and timely insight and actionable recommendations, being proactive in finding opportunities to generate income and minimise costs.
  • Ensure that the team delivers insight that has impact and value, including embedding frameworks to measure and monitor this.

Selections

  • Based on a thorough understanding of business requirements and the benefits we want to achieve, design a programme of data selections to maximise the impact of our activities and to fulfil key stakeholders needs.
  • Ensure team planning of the campaign management of a variety of fundraising campaign data selections using the CARE and MS Dynamics databases and FastStats.
  • Manage and implement database queries from Income and Engagement teams. Provide direct support to the directorate by compiling and running non-routine queries, reports, selections and outputs including data profiling and modelling work.
  • Innovate to ensure that we are constantly improving how we deliver supporter communications, e.g. embedding delivery of supporter journeys and use of marketing automation.

Data

  • Develop information management processes and ways of working to optimise the quality of the data the organisation holds around engagement of its supporters.
  • Work to improve data capture practices of staff leading to improvements in quality and volumes of supporter data.
  • Extract and use data from all available internal and external sources, working closely with our Strategic Insight team, working towards a single customer view of all customer data inputs.
  • Third party relationship management.
  • Exploration, management of selection of third party suppliers.
  • Strategic management of third party relationships to ensure maximum impact on ability to generate income & engagement.
  • Satisfy reporting requirements (internal and external).

Gift Aid

  • To maximise Gift Aid income and ensure full regulation compliance for designated area of work by identifying opportunity, responding to regulation changes or recommendations, implementing quality control and supporting and developing colleagues.

Key relationships

  • Director of Strategy & Governance and Head of Strategy and Insight who will have oversight and approval of assignments.
  • Director of Income and Engagement, IEMT who will input into assignment scoping and prioritisation.
  • Director of Services, SSMT who will input into assignment scoping and prioritisation.
  • Head of Governance & Improvement who will draw on top level KPIs for governance reports.
  • Impact Measurement & Evaluation Manager who will be a key colleague in development of the organisation’s performance culture and frameworks.
Job type: Permanent
Emp type: Full-time
Salary: GBP £50,000.00

A SaaS company who recently secured £20m investment is looking for a Senior Data Engineer to join their team. You’ll be a key member of the data engineering function and will be heavily involved in the design and implementation of a modern cloud data platform in order to deliver data and insights to users.

Our client provides bespoke specialist solutions that enable safe and productive work, efficient operations and data-driven insight to continually improve performance in large, complex organisations across four main sectors – healthcare, pharmaceutical, life sciences and biotech; facilities and building management; retail; and hospitality.

The ideal candidate will have proven experience of data engineering and will be comfortable with the ingestion and underlying data transformations needed for unstructured and structured data and how this can be best designed for the BI needs of users. You’ll be involved in all stages of engineering, from initial design, through to working with engineering teams for delivery in an agile environment.

Responsibilities

  • Designing and implementing performant, secure & robust data pipelines using streaming technologies.
  • Developing advanced conceptual, logical and physical data organisations, models and repositories.
  • Designing and producing dashboards and reports to end users using BI tools such as PowerBI.
  • Planning and executing secure good practice data integration strategies and approaches.
  • Leading a data engineering team adhering to Agile best practice.
  • Owning the on-going technical delivery and improvement of the data platform, building innovative products, using the latest cloud technologies.
  • Proactively anticipating, understanding, troubleshooting, and fixing problems using technical expertise and problem-solving skills to restore service, identify root causes and implement fixes.
  • Mentoring and inspiring junior talent in data engineering best practice.
  • Leveraging information security principles to ensure compliant handling and management of data.
  • The role will involve being in an out of hours on call rotation for emergency cover, which will involve additional payments if required.

Requirements

  • Strong Data Warehousing experience, building operational ETL/ELT data pipelines across a variety of source systems and constructing relational and dimensional data models using cloud DWH technologies.
  • Good knowledge of SQL and Python.
  • Experience using data streaming technologies.
  • Solid understanding of data governance principles including, but not limited to Master Data Management, Data Lineage and Data Security.
  • Understand established data management and reporting technologies and tools, and have strong knowledge of relational and NoSQL databases.
  • Experience in Big Data solutions in the data analytics technology landscape.
  • Experience working on a transformational project in Data from the ground up.
  • Strong verbal and written communication skills with the ability to liaise with a variety of stakeholders.

Benefits

Our client offers a range of benefits designed to give you the opportunity to learn and develop your skills, provide for your future, look after your routine healthcare, and feel protected if life throws you a curve ball. Benefits include:

  • 25 days holiday plus bank holidays (or equivalent for shift-based roles).
  • Life insurance at 4x your basic salary.
  • Income protection insurance to pay your wages if you need extended time off work due to illness.
  • Health cash plan to help with the costs of optical, dental and support for your mental wellbeing.
  • Contributory pension scheme.
  • Share award scheme, allowing you to be rewarded for our future success.
  • Unlimited access to thousands of courses on LinkedIn Learning.

In addition, they have a remote-first, work-where-it-works culture, meaning that in most jobs, you’ll be able to work from home for the majority of the time, going to the office only when you need to collaborate with your team.

Job type: Permanent
Emp type: Full-time
Salary: GBP £90,000.00

A global data, marketing and IT consultancy is looking to hire a Data Scientist to support and deliver a wide range of supervised and unsupervised learning projects using behavioural, transactional, digital and demographic data sources.

This is an exciting opportunity to join a strong team with a dynamic group of analysts, data scientists and commercially savvy business development consultants. You will work with some of the biggest and innovative brands in the UK across utilities, gaming, publishing, retail and consumer packaged goods, leisure, financial services and beyond.

The ideal candidate will possess technical know-how in regards to statistics, mathematics and coding languages. Just as importantly, you will be comfortable in scoping, presenting and explaining recommendations to clients.

Key responsibilities

  • Lead the delivery of a wide range of bespoke data science projects, using a range of environments and machine learning techniques, ensuring they are delivered on budget, on time and on scope.
  • Develop an in-depth understanding of company data and in-house systems.
  • Work alongside a variety of internal teams, from sales and account managers, through to statisticians and database technicians.
  • Present your own work to client stakeholders in a way that is insightful, meets the objectives, and is tailored to the audience.
  • Contribute to innovation initiatives within the team, which constantly seek to improve efficiencies, develop new propositions, and research new ideas.
  • Support and mentor other members of the team as we continue to migrate from SAS to Python and on-site to AWS.
  • Scope projects and write proposals.

Requirements

  • Proven experience and track record of turning data and analysis into actionable insights in a marketing environment
  • Over 5 years of experience in a commercial environment
  • Ability to communicate complex concepts in an approachable manner, both written and verbally
  • Superb analytical and problem-solving skills
  • Excellent knowledge of machine learning and deep learning techniques and how to apply them
  • Excellent knowledge of supervised and unsupervised techniques
  • Excellent knowledge of SQL and Python

The ideal candidate will also have some of the following:

  • Good knowledge of econometric and attribution modelling
  • Good knowledge of cloud solutions such as Microsoft Azure, Google Cloud and AWS
  • Knowledge of digital analytics tools such as Google Analytics and Adobe Analytics
  • Knowledge of data visualisation tools such as Power BI or Tableau

About you:

  • You have successfully delivered numerous data science solutions
  • You are a strong communicator - written/verbal English, you will have strong organisational skills and will be comfortable juggling delivery across multiple projects
  • You have high levels of personal motivation
  • You are a logical thinker with strong problem-solving skills
  • You are a team player
  • Highly motivated self-starter

Progression

Unlike many organisations, promotions can happen twice a year. This gives you more opportunity to progress. People get promoted on merit when they are ready. This means that your career is completely in your own hands and there is never a ceiling for your progress.

Everyone’s career path is different. They welcome people exploring different areas and trying out new skillsets. Just because you start off down one path doesn’t mean you are committed to it indefinitely. You’ll have the freedom to carve your own career path.

Flexibility

The key to their success is teamwork and collaboration and that tends to work best when staff are in the office working together. That said, they fully appreciate that everyone leads busy lives and we can’t always be in the office. This is why they embrace flexible working. Covid-19 has changed the way they work, and they’ll update their flexible working policy as the situation stabilises.

Development

Your development is key and is a top priority for the team. They offer 3 types of training: externally run consulting courses, externally run bespoke courses and internal courses. Everyone has different training requirements which means everyone has their own training plan. A bespoke training plan will be created for you when you join.

Benefits

There are a wide range of benefits on offer to support you. They have a comprehensive list of schemes ranging from pension plans, to health and wellness policies, in addition you can opt into a selection of flexible benefits to meet your personal needs.

  • Pension contributions up to 5% (matched by employee and employer)
  • Life Insurance
  • Personal Accident Insurance
  • Private Health Insurance from 2nd anniversary
  • Sickness & Disability income protection from 3rd anniversary
  • On site gym membership
Job type: Permanent
Emp type: Full-time
Salary: GBP £70,000.00

A global publishing business is seeking a new Lead Data Engineer to develop their data platform in a scalable and cost-efficient way, whilst acting as a role model for the wider team to adopt best practice software engineering principles.

You will become a key member of the Data Engineering team that’s responsible for ensuring that internal customers can produce effective analysis, models and reports through accurate and timely data. You will collaborate with team members and others in their wider tech organisation to develop their vision of migrating legacy batch-based data warehousing processes to modern streaming-based approaches in a scalable, robust and distributed way to serve ever greater SLAs.

Key Responsibilities:

  • Responsible for the successful implementation of data projects and new features on the data platform
  • Responsible for reliable and cost-effective operation of the data platform
  • Support the Data team in the design, implementation and support of the data platform
  • Work with senior team members across Tech and Data to architect a best-in-class data platform that supports the companies growing aspirations
  • Lead by example while using established software engineering practices and principles

What do I need to succeed?

Required:

  • Bachelor’s degree in computer science, engineering, mathematics, or a related field
  • 4+ years of experience building and operating big data platforms
  • Proficiency in Python or another general purpose language
  • 2+ years of experience in cloud based technologies (AWS/GCP/Azure)
  • Strong written and verbal communication skills including an ability to effectively communicate with both business and technical audiences

Desired:

  • Experience providing technical leadership and mentoring other engineers for best practices
  • Experience in working and delivering end-to-end projects independently
  • Experience of using Python on Google Cloud Platform for Big Data projects
  • Hands on experience developing, maintaining or interacting with an events streaming platform (PubSub,Kinesis,Kafka)
  • Proven in developing integrations to 3rd party APIs for data ingestion, and developing APIs to expose access to data
  • Demonstrated strength in data modelling, ETL development, and data warehousing
  • Knowledge of data management fundamentals and data storage principles
  • Familiarity with statistical models and/or data mining algorithms and practical experience of applying these to business problems

Benefits

  • Unlimited paid time off (yes you read that right)
  • A share in our success - every member of staff receives a profit pool bonus at the end of our financial year and access to our unique Value Creation Plan
  • Central office locations with safe working spaces and flexibility to work remotely as required
  • Discounted digital magazine subscriptions and access to back copies of our print magazines and bookazines
  • Huge opportunities to learn and develop whether through professional qualifications, exposure to incredible business projects or informal lunch & learns, hosted by your colleagues
Job type: Permanent
Emp type: Full-time
Salary: GBP £90,000.00

Permanent | Remote | Up to £75k

We are looking for an experienced Data Architect to join a leading SaaS company who provide cloud-based solutions that drive complex operations for large organisations. This role allows for hybrid home/office working.

Reporting to the Head of Data, you’ll work with engineering teams and other architects to design and implement a modern cloud data architecture to deliver value at scale. You'll be involved in all stages, from initial design, through to working with teams to deliver projects in an agile environment.

You’ll be building data pipelines across a number of sources, constructing data models using technologies such as AWS Redshift and Snowflake. A solid understanding of data governance principles is required, including, but not limited to Master Data Management, Data Lineage and Data Security.

The ideal candidate will possess strong experience and knowledge of data warehousing, big data solutions, reporting technologies, relational and NoSQL databases, as well as a hands-on development background with skills in SQL and Python. Exposure to predictive analytics would also be desirable.

The company offers a range of benefits designed to give you the opportunity to learn and develop your skills, provide for your future, look after your physical and mental health, and feel well supported. They have a remote-first, work-where-it-works culture, meaning you’ll be able to work from home for the majority of the time, going into the office only when you need to collaborate with your team.

Main responsibilities

  • Identifying fit for purpose cloud data architecture solutions to successfully meet strategic needs and objectives.
  • Designing and implementing performing, secure & robust data pipelines, data lake and data warehousing.
  • Designing advanced conceptual, logical and physical data organisations, models, repositories, & dashboards.
  • Planning and executing secure practice data integration strategies and approaches.
  • Working closely with software engineers, adhering to Agile best practice.
  • Evangelising data team and platform across the wider business so that everyone can get the data that they need.
  • Leveraging information security principles to ensure compliant handling and management of data.

Skills and Experience

  • Proven experience of Data Architecture, comfortable with the ingestion and underlying data transformations needed for unstructured and structured data, and how this can be best designed for the BI needs of the users.
  • Strong Data Warehousing experience, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models using cloud technologies such as AWS Redshift and Snowflake.
  • Solid understanding of data governance principles including, but not limited to Master Data Management, Data Lineage and Data Security.
  • Hands on Development background with experience in SQL and Python.
  • Understanding of established data management and reporting technologies and tools, with strong knowledge of relational and NoSQL databases.
  • Experience in Big Data solutions in the data analytics technology landscape.
  • Exposure to predictive analytics would be useful.
  • Strong verbal and written communication skills with the ability to liaise with a variety of stakeholders.
  • Problem-solving skills with the ability to work under pressure.

Benefits

  • 25 days holiday plus bank holidays (or equivalent for shift-based roles)
  • Life insurance at 4x your basic salary
  • Aremote-first, work-where-it-works culture
  • Income protection insurance to pay your wages if you need extended time off work due to illness
  • Health cash plan to help with the costs of optical, dental and support for your mental wellbeing
  • Contributory pension scheme
  • Share award scheme, allowing you to be rewarded for our future success
  • Unlimited access to thousands of courses on LinkedIn Learning
Job type: Permanent
Emp type: Full-time
Salary: GBP £75,000.00

If you have a Sales or Customer Service background and are looking for a new challenge, where you can work within the exciting world of Big Data and Digital Technology, then this could be the opportunity for you.

We are Bodhi, one of the few specialist Data and Digital Technology talent companies in the UK. Having been established for eight years, we are now looking to grow our team and are looking for motivated individuals to come on that journey with us.

Location: Bristol HQ
Job type: Permanent
Emp type: Full-time
Salary: negotiable

London | Permanent | Full-time | 110k | Sponsorship applications welcome

One of Europe's fastest growing mobile companies is looking for a Big Data Architect/Solutions Manager to provide technical leadership in architecting and designing end to end solutions in their venture to offer more services for consumers across multiple digital channels.

You will be responsible ensuring the implementation of big data solutions are in-line with industry best practices and standards. You will drive improvements in the current design, processes & implementation to improve operational management, scalability, and extensibility.

The ideal candidate will be a hands-on technical big data architect with extensive experience in designing big data solutions using open source and cloud native technologies. You will be able to demonstrate experience owning and developing big data solutions, preferably with telecom or wireless service providers. You will have a DataOps mindset, allowing the architecture of a system to evolve continuously over time, while simultaneously supporting the needs of current users.

Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems

We welcome application from candidates who need sponsorship.

Key Responsibilities

  • Articulate business and data requirements from business analysts across the various functional and business areas.
  • Design/manage enterprise big data architecture, data governance, and automated data reconciliation.
  • Technical line management of remote big data engineering team (10-15). Responsible for engineering excellence, resource management, hiring, coaching engineers, and timely delivery of committed work.
  • Create and maintain big data architectural & design artefacts to ensure the up to date documentation for the relevant program and projects is readily available.
  • Contribute to the evolution and planning of the enterprise architecture from data perspective by ensuring solutions are developed in line with roadmap.
  • Collaborate with a wide range of stakeholders to identify and define customer needs
  •  Involve in partner selection and partner resource selection to ensure that the right partner/resource are selected who would be assisting the company in development & engineering.
  • Be the voice of the customer in the context and value of the business requirements.
  • Manage the Technical Product Backlog of epics and features and drive prioritisation.
  • Support data lake design, development, release schedule and maintain a development road map.
  • Create and maintain Architectural Runway, and Non-Functional Requirements.
  • Design for Continuous Delivery Pipeline (CI/CD data pipeline) and enables Built-in Quality & Security from the start.
  • Ability to clearly articulate pros and cons of various technologies and platforms and architectural options to be able to document use cases, solutions, and recommendations.
  • Advocate and champion the DataOps within the business, will be responsible that the existing datalake solution running smoothly on data to day basis.
  • Maintain your own personal skills and knowledge in the field of enterprise architecture and your functional domain specialisation.
  • Actively contribute to the definition of the overall standards for design, development/configuration (including tools) and related documentation.

Skills and Experience

  • Demonstrable experience owning and developing big data solutions, using Hadoop, Hive/Hbase, Spark, Databricks, ETL/ELT for 5+ years.
  • 10+ years of Information Technology experience, preferably with Telecom / wireless service providers.
  • Experience in designing data solution following Agile practices (SAFe methodology); designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized innovation.
  • DataOps mindset: allowing the architecture of a system to evolve continuously over time, while simultaneously supporting the needs of current users.
  • Be able to demonstrate an understanding and ideally use of, at least one recognised architecture framework or standard e.g. TOGAF, Zachman Architecture Framework etc.
  • Ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers.
  • Demonstrated ability to work collaboratively.
  • Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, etc.)
  • Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision.
  • Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems.

Behavioural Fit

  • Effectively work in a matrix organization. Lead through influence
  • Get things done attitude
  • Must be self-motivated and results oriented
  • Ability to work in a cross-functional, multi-cultural team and in a collaborative environment.
  • Ability to multi-task and plan, organize and prioritize multiple projects.
  • Must have a hands-on mentality
Job type: Permanent
Emp type: Full-time
Salary: GBP £110,000.00

Bristol + flexible & remote working | Permanent | Full-time | 60k

A leading global communications agency is looking for an Analytics Manager to be responsible for ensuring robust analytical frameworks and methodologies are applied to solving business problems and managing a team to deliver quality analytics and data science solutions for clients.

This role is a key enabler for helping the business and their clients grow by providing better customer experiences and data-driven decision making.

The ideal candidate will have a passion for discovering solutions and working with stakeholders to improve business outcomes. You will be familiar with using data mining and science techniques to analyse large, structured and unstructured data sets to find patterns and business insights. You will be adept at problem solving and defining solutions through working with our clients and internal teams and be confident presenting solutions to technical and non-technical audiences.

This is a great opportunity to join a growing, agile and fast-paced agency, where data is at the heart of its proposition.

Key Responsibilities:

  • Work closely with client managers and relevant stakeholders to deliver insightful analysis to clients.
  • Ideate, define and present solutions to clients and internal stakeholders.
  • Manage the agile analytics process, including sprints, planning and unblocking issues.
  • Track and resolve risks, issues, and action items throughout project lifecycle.
  • Problem-solve with product and client teams, advise on how to leverage data science across the company and for our clients.
  • Ensuring quality and accuracy of analytics deliverables.
  • Help guide the development of our internal analytics and data science products.
  • Develop technical and commercial solutions, frameworks and methodologies to solve key business problems and challenges.
  • Mentor junior members of the team.
  • Identify opportunities to improve the development and deployment of analytics and machine learning models.
  • Producing specifications and client facing documentation for non technical audiences.
  • Interpret marketing performance data and create actionable recommendations.
  • Work alongside out BI and engineering team to facilitate the automation of CRM reporting.

Key Experience, Skills and Knowledge:

  • Experience managing analytical projects, from conception and ideation, through to delivery and presentation.
  • Knowledge of commonly used data science and analytics platforms, such as AWS Sagemaker, Data Bricks etc.
  • Familiar with common data science and analytical frameworks and techniques.
  • Previous experience of using one or more programming languages, R, Python, Scala, Java and SQL.
  • Experience managing the end-to-end analytics and machine learning lifecycle.
  • Excellent communication skills, both written and verbal. Ability to present complex or highly technical issues in simple and easy-to-understand formats, for technical and nontechnical audiences.
  • A good understanding of agile product development and software development lifecycle.

We are an equal opportunities employer and as such, will make any reasonable adjustments to accommodate the needs of all candidates. If you have any such needs or requirements in the context of your interview, please notify us so that we can make the appropriate arrangements.

Job type: Permanent
Emp type: Full-time
Salary: GBP £60,000.00

Bristol + flexible & remote working | Permanent | Full-time | 60k

A leading global communications agency is looking for a Data Product Lead to be responsible for formulating the strategy and roadmap for the development and delivery of a suite of advanced data-driven products that may include data visualisation, insight generation, statistical and machine learning modelling deliverables.

This role is a key enabler for helping the business and their clients grow by providing better customer experiences and data-driven decision making.

The ideal candidate will have experience building and delivering product roadmaps where consumer centricity is central. The role will bring together core pillars of data, technology and creative to deliver a set of products to clients that will drive consumer experience.

Awareness of key data and digital technologies and machine learning/AI will be required to deliver product innovation within the data space. The right candidate will be an excellent communicator who can facilitate collaboration across business, data engineering, and analytics teams within the business.

This is a great opportunity to join a growing, agile and fast-paced agency, where data is at the heart of its proposition.

Key Responsibilities

  • Responsible for innovation and end-to-to launch of data products, including the commercial proposition and customer need.
  • Lead exploration, development, and delivery of data products that enable clients to make data-driven decisions.
  • Develops, owns, and executes product roadmap.
  • Work closely with internal stakeholders, data engineering, digital services, BI, software engineering and the data science team to develop and deliver the roadmap
  • Drive agile working practices within and across product teams.
  • Leads regular release planning, release management and solution validation initiatives.
  • Turns data insights into data products with actionable outcomes to our customers.
  • Works in an agile/Lean Startup environment and continuously reviews the business needs, refines priorities, outlines milestones and deliverables, and identifies opportunities and risks.
  • Possess a fundamental understanding of end-to-end customer experience integration and dependency.
  • Works with our creative and technology team to create seamless user experiences.
  • Create fast visual prototypes that can facilitate the validation of product concept and user interaction design.
  • Develop appropriately detailed specifications for the product features so they are clearly understood by the development teams.
  • Defines and executes go-to-market plan, working to ensure that client services, marketing, and sales have what they need to be successful.
  • Develops and maintains appropriate tracking and reporting of product performance post-launch to evaluate future investment.

Key Skills, Knowledge and Experience

  • Balance of technical knowledge and business acumen.
  • Proactive, self-starter with excellent project management skills and ability to manage multiple tasks effectively.
  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
  • High degree of organization, individual initiative, and personal accountability.
  • Previous experience working in a product environment with data science’ digital and engineering teams.
  • Proficiency with software development methodologies such as Agile and experience with Agile software development tools such as Jira.
  • Awareness of commonly used data technologies.
  • Familiar with user experience and interaction design concepts.
  • Excellent communication skills, both written and verbal. Ability to present complex or highly technical issues in simple and easy-to-understand formats, for technical and non-technical audiences.
  • At least 3 years of experience in Product Management and/or Product Development
  • Experience successfully driving end-to-end delivery of data and intelligence solutions, through a range of mechanisms, e.g. dashboards, APIs, real-time alerts, etc.

We are an equal opportunities employer and as such, will make any reasonable adjustments to accommodate the needs of all candidates. If you have any such needs or requirements in the context of your interview, please notify us so that we can make the appropriate arrangements.

Job type: Permanent
Emp type: Full-time
Salary: GBP £60,000.00

Digital Web Analyst | £45k - £55k

Our client is an award-winning digital communications company that combines effective storytelling and engaging digital experiences to help our clients clearly and authentically communicate with any audience. They’re collaborative and passionate about doing good work together. They're also looking for creative, motivated individuals to join their growing team.

Their client roster includes more than 1,600 companies across the globe including Ascential, ASOS, Rolls-Royce, Whitbread, Paddy Power Betfair and Dixons Carphone. When you join the team, you’ll play an important role in growing and shaping a unique Connected Content™ approach along with Connect.ID products and technology.

Location: Bristol, UK
Job type: Permanent
Emp type: Full-time
Salary: GBP £40,000.00