Lead Marketing Analyst
London / £60000 - £80000 annum
INFO
£60000 - £80000
LOCATION
London
Permanent
Lead Marketing Analyst
Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus
About the Business
A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:
Expanding and strengthening its core digital products.
Enhancing customer experience to drive engagement and loyalty.
Building stronger community connections and marketing reach.
The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.
The Role
This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.
You'll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You'll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.
What You'll Be Doing
Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.
Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).
Improving campaign decision-making through attribution, incrementality, and media mix modelling.
Partnering with Data Science to build predictive models (LTV, churn).
Owning and refining marketing forecast models for budget and performance planning.
Using statistical analysis to optimise testing methodologies and outcomes.
Developing best practice, transparent reporting, and actionable insights.
Managing stakeholders across the business to improve marketing decisions.
Building strong cross-functional relationships to promote a data-driven culture.
Working with Data Engineering to manage data requirements and ensure quality deliverables.
Candidate Profile
Background
Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.
Must have a strong B2C focus.
Experience
Proven track record in marketing analytics.
Comfortable leading and mentoring others.
Strong stakeholder management and presentation skills.
Line management experience (desirable but not essential).
Technical Skills
SQL (essential).
Power BI / Looker.
Data visualisation expertise (Snowflake desirable).
Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).
Package & Benefits
~£80k base salary + 10% bonus.
Private healthcare (including dental).
6% pension contribution.
Life insurance + employee assistance programme.
Enhanced family leave.
25 days holiday + bank holidays (buy/sell option).
Flexible working hours.
Interview Process
1st stage: Zoom interview with senior marketing leadership.
2nd stage: Take-home task + panel presentation.
3rd stage: Final interview with executive team.
CONTACT
Jordan Victor
Client Consultant
SIMILAR
JOB RESULTS
Data Science Manager (Recommendation Systems)
Canada
$180000 - $240000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager (Recommendation Systems)
Remote (Canada)
$180,000 – $240,000 CAD base + equity + benefits
About the Company
This organization builds widely used collaborative software that helps distributed teams plan, design, and execute complex work together. The platform supports millions of users who rely on it to organize ideas, coordinate projects, and make decisions more effectively.
Engineering teams operate in small, autonomous groups that own meaningful product outcomes. The culture emphasizes practical problem solving, thoughtful experimentation, and systems that deliver measurable value to users.
Data science plays a central role in shaping how users discover content, navigate workflows, and extract value from the platform. Machine learning systems directly influence user engagement, retention, and overall product growth.
About the Role
This is a hands-on leadership role responsible for building and evolving the machine learning systems that power personalized experiences across the product.
You will lead a small team of data scientists while remaining actively involved in system design, model development, and production deployment. A primary focus of the role is the development and scaling of recommendation systems that help users discover relevant content, workflows, and collaboration opportunities.
You will partner closely with product, engineering, and business teams to identify high-impact opportunities where recommendation models and predictive systems can improve user experience and drive measurable business outcomes.
Success in this role will be defined by the performance of deployed systems – particularly recommendation models that improve discovery, engagement, and retention across a large user base.
Key Responsibilities
- Design and deploy production recommendation systems that personalize product experiences for users
- Lead development of machine learning models that improve content discovery, engagement, and user retention
- Architect scalable pipelines for feature generation, model training, evaluation, and deployment
- Establish clear success metrics for recommendation models and continuously improve system performance
- Hire, mentor, and develop a small team of data scientists focused on applied product impact
- Partner with product and engineering teams to identify opportunities where recommendation systems can drive measurable improvements in user experience
- Build experimentation frameworks to evaluate ranking strategies and recommendation effectiveness
- Guide the evolution of recommendation architecture as the product and user base continue to scale
Must Haves
- 6+ years building and deploying machine learning systems in production environments
- 2+ years leading or managing data scientists or machine learning engineers
- Demonstrated experience developing recommendation systems at scale
- Strong Python expertise and experience building production ML pipelines
- Experience with ranking models, collaborative filtering, or similar recommendation techniques
- Experience translating product or business problems into measurable ML solutions
- Strong understanding of the full ML lifecycle including feature engineering, training, deployment, and monitoring
Nice to Have
- Experience designing experimentation platforms or evaluating ranking algorithms
- Background in user behavior modeling, personalization, or search ranking
- Experience working with large-scale product datasets or distributed data platforms
- Familiarity with production backend systems or modern software engineering practices
Why Join
- Own the recommendation systems that shape how users discover and interact with the product
- Lead a high-impact data science team solving complex personalization challenges
- Work closely with product and engineering leaders to shape the future of machine learning within the platform
- Opportunity to influence systems used by millions of users globally
- Competitive compensation, equity participation, and comprehensive benefits
- Remote-first culture across Canada with strong technical standards and a collaborative engineering environment
To Apply for this Job Click Here
Data Scientist – Credit Risk
London
£65000 - £75000
+ Risk Analytics
PermanentEngland
To Apply for this Job Click Here
Data Scientist – Credit Risk
Up to £75,000
Remote (UK Based)
The Company
They are a global, fully remote fintech working across payments and credit risk. Their teams operate internationally collaborating on high impact risk and credit solutions. They use Python, SQL and GenAI tools heavily across the business.
The Role
* Deliver credit risk and fraud analytics across partner portfolios.
* Build predictive models and rules in Python and SQL.
* Develop and optimise credit strategies including pricing, limits and segmentation.
* Support bespoke insurance and risk solutions for complex merchant portfolios.
* Work closely with data, product and commercial teams.
Your Skills and Experience
* Strong commercial experience with Python and SQL.
* Background in credit risk or fraud analytics.
* Experience building supervised models.
* Comfortable solving open problems and communicating insight clearly.
* Interest in both analytics and modelling.
What They Offer
* Salary up to £75,000 + Benefits
To Apply for this Job Click Here
AI/ML Engineer
New York
$80 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
AI Developer – New York Start-Up
Harnham, the leading recruitment specialist in Data and AI is currently partnering with an organization which has just received their seed round of funding are they are looking to rapidly build out their team here in NY to build & deploy releasable products.
- Role – AI Developer
- Location – New York (onsite 5 days per week)
- Pay – $80 – $120 per hour
- Length: Extendable 3 months initial contract
- Utilization: 40 hours per week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As an AI Engineer you will be at the bleeding edge of Chip & Semiconductor design. You will be working with leading pioneers of Chip design & AI Research based in New York to combine cutting-edge AI with deep semiconductor design.
You will be designing, building & deploying ML Models & Agentic workflows to drive RTL optimization and to build the technology of tomorrow.
Requirements:
- 5 years’+ demonstrable experience working on LLM Systems or AppliedAI Research
- Strong ML tools such as PyTorch, HuggingFace & MLFlow
- Reinforcement Learning experience
- Production AI experience
- Experience working with LLMs
If you are interested in this opportunity, then please feel free to apply below or contact Ciarán to discuss more
To Apply for this Job Click Here
Principal AI Engineer
Sheffield
£85000 - £90000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
PRINCIPAL AI ENGINEER
Up to £90,000 + BENEFITS
SHEFFIELD (Hybrid)
This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.
THE COMPANY:
They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.
THE ROLE:
- Build and operate production‑ready AI agents on GCP
- Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
- Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
- Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
- Shape engineering standards, patterns and tooling as part of a new AI function.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
- Deep hands‑on expertise with GCP services
- Strong Python skills
- Practical experience with LLMs, embeddings, RAG architectures and vector databases.
- A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
- DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Site Reliability Engineer (Contractor)
London
£540 - £550
+ Data Management & Governance
ContractLondon
To Apply for this Job Click Here
THE COMPANY
Join one of the world’s most recognisable entertainment brands as they continue to scale their global digital commerce platform. You’ll be part of a centralised Technical Operations function supporting revenue‑critical services used by millions of players worldwide. This is a high‑impact role where reliability, scalability, and engineering excellence are at the heart of everything you do.
THE ROLE
As a Senior Site Reliability Engineer, you will take ownership of reliability strategy and operational excellence across key commerce domains, including subscriptions and personalisation services on the PlayStation Network. Operating in a centralised SRE model, you’ll partner closely with product and engineering teams while maintaining horizontal responsibility for production health, resilience, and scalability.
You’ll lead incident response, define reliability standards, influence architectural decisions, and build automation that elevates deployment safety and operational efficiency. This is a hands‑on, senior technical role with direct influence on systems that generate significant global revenue.
Key Responsibilities
Reliability & Risk Engineering
* Identify systemic reliability risks and drive long‑term preventative improvements
* Define and refine SLIs, SLOs, and error budgets aligned to customer and business outcomes
* Lead high‑severity incident response, post‑incident reviews, and remediation planning
Architecture & Resilience
* Influence system architecture to improve scalability, availability, and failure isolation
* Design multi‑region HA, graceful degradation, and disaster recovery strategies
* Evaluate trade‑offs between performance, cost, and operational risk
CI/CD & Deployment Safety
* Enhance CI/CD pipelines with automation and safety guardrails
* Implement safe deployment patterns (canary, blue/green, progressive delivery)
* Ensure robust rollback and recovery mechanisms
Observability & Performance
* Build and evolve observability tooling across metrics, logs, and traces
* Reduce alert fatigue and improve signal quality
* Diagnose performance bottlenecks across infrastructure and applications
Infrastructure & Automation
* Design and operate cloud‑native and containerised workloads at scale
* Use IaC to build resilient, repeatable platforms
* Develop automation frameworks that eliminate manual toil
Leadership & Collaboration
* Mentor mid‑level engineers and champion SRE best practices
* Partner with engineering, product, and security teams to embed reliability into system design
YOUR SKILLS & EXPERIENCE
Required:
* Degree in Computer Science, Engineering, or equivalent experience
* 7+ years in SRE, Production Engineering, or Systems Engineering roles
* Strong understanding of distributed systems, failure modes, and consistency models
* Hands‑on experience operating production workloads in AWS, GCP, or Azure (multi‑region)
* Strong Kubernetes experience in large‑scale production environments
* Proficiency in Go, Python, or Java for tooling and automation
* Proven experience leading high‑severity incidents and driving cross‑team remediation
* Experience designing and operating CI/CD systems with deployment safety guardrails
Preferred:
* Multi‑cloud or multi‑region resilience experience
* Experience with Prometheus, Grafana, Datadog, or similar observability stacks
* Prior mentorship or technical leadership experience
* Experience with Terraform, CloudFormation, or other IaC tools
* Exposure to AI‑assisted tooling for incident analysis or operational insights
BENEFITS
* Competitive salary + bonus
* Hybrid working model
* Excellent pension, healthcare, and wellbeing benefits
* Opportunity to influence global‑scale systems used by millions
HOW TO APPLY
If you’re a Senior SRE who thrives in high‑scale, high‑impact environments and wants to shape the reliability of globally distributed systems, we’d love to hear from you. Apply now or contact Harnham for more information.
To Apply for this Job Click Here
Product Analyst FTC
London
£55000 - £70000
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Product Analyst FTC
London
Up to £70,000
This is an exciting opportunity to join a growing data function where you will play a key role in shaping product decisions through actionable insight. If you enjoy turning complex data into clear stories that influence strategy, this role gives you the autonomy, variety, and development environment to thrive.
The Company
They are a fast‑scaling, mission‑driven organisation supporting a wide national community through a market‑leading digital platform. With millions of active users, data sits at the centre of every strategic decision. Their teams work collaboratively, champion innovation, and are committed to creating an environment where people genuinely enjoy coming to work. As demand grows, they are continuing to expand their data capabilities and invest in modern tooling.
The Role
In this Product Analyst position, you will partner closely with product, engineering, and commercial teams to ensure decisions are grounded in strong analytical thinking. You will
* Apply quantitative analysis and data storytelling to understand user behaviour and identify opportunities.
* Generate hypotheses, support experimentation, and drive continuous improvement.
* Define and maintain core metrics, working with technical teams to ensure accurate data collection.
* Build and maintain dashboards and data products to enable self‑serve insight.
* Conduct deep dives to answer strategic questions and provide clear recommendations.
* Contribute to internal knowledge bases and support consistent data standards across teams.
Your Skills and Experience
You will bring
* Strong commercial experience working with data in an analytical capacity.
* Proficiency in SQL and experience with tools such as dbt, Python, R, or BI platforms (Lightdash, Looker, Tableau).
* The ability to translate business problems into analytical approaches and communicate insights clearly.
* A curiosity‑driven approach with a focus on impact and continuous improvement.
* A collaborative mindset and confidence working with stakeholders across product and engineering.
What They Offer
* Competitive salary up to £70,000.
* Comprehensive benefits package.
* Modern analytics tooling and a culture that supports professional growth.
* Clear progression opportunities within an expanding data and insights function.
How to Apply
If this Product Analyst role sounds like the right next step for you, please apply with your CV.
To Apply for this Job Click Here
Senior Research Executive
London
£35000 - £45000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Research Executive
Waterloo, London (Hybrid)
Up to £45,000
6‑month FTC with strong potential to go permanent
This is an excellent opportunity to step into a strategic, research‑focused role where you will shape high‑value insight projects and work directly with senior stakeholders. If you are looking for a research position that blends client interaction, mixed‑methods expertise, and commercial impact, this offers a strong platform for progression.
The Company
They are a well‑established, insight‑driven organisation operating at the premium end of the professional services market. Known for high‑quality strategic research, they provide data‑led intelligence, market analysis, and subscription‑driven content to a global client base. Their work informs commercial decision making across complex industries, with clients regularly engaging them for high‑profile strategic projects. With a long heritage and a reputation for depth, accuracy, and thought leadership, they continue to expand their research capability.
The Role
You will play a core role in delivering end‑to‑end research projects with a strong strategic focus. Key responsibilities include:
* Attending client meetings and helping shape briefs in collaboration with internal teams.
* Scoping project budgets, timelines, and outputs alongside senior research leaders.
* Designing studies, including questionnaires and discussion guides.
* Managing external fieldwork partners and overseeing project delivery.
* Conducting interviews and coordinating follow‑up sessions.
* Analysing quantitative and qualitative data and producing clear visuals and stories.
* Writing reports for external clients and collaborating with production teams.
* Presenting insights to senior stakeholders across global markets.
Your Skills and Experience
You will demonstrate:
* Strong experience working across both qualitative and quantitative research.
* Proven ability to manage multiple projects and handle fast‑paced client environments.
* Confidence designing research frameworks and managing fieldwork partners.
* Strong commercial awareness and the ability to translate data into actionable insight.
* Comfortable speaking with senior stakeholders and leading discussions.
* Experience creating visual outputs and delivering clear narratives from data.
What They Offer
* Salary up to £45,000 plus benefits.
* Hybrid working with two set office days per week.
* The chance to deliver strategic research for high‑profile, global clients.
* Direct exposure to senior leadership and opportunities for career development.
* Strong potential for the role to extend or convert to permanent.
How to Apply
If you are interested in this Senior Research Executive opportunity, please apply with your CV to begin the conversation.
To Apply for this Job Click Here
Senior Associate AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Associate AI Engineer
London or Remote UK, £75,000 to £95,000 plus bonus and equity
This role offers the chance to join a growing data intelligence organisation and take ownership of production AI systems. You will work with modern LLM technologies, build automated intelligence tools, and contribute to the development of future client facing AI products.
The Company
They are a data insights organisation that builds KPI prediction models for well known consumer brands. Their platform gives investors an early view of company performance ahead of earnings. As AI becomes central to their strategy, they are expanding their engineering team to build scalable agentic and RAG powered systems that support both internal teams and customers.
The Role
* Build end to end RAG pipelines covering ingestion, embeddings, vector search and LLM reasoning.
* Develop agentic workflows using frameworks such as LangChain, CrewAI or ADK.
* Create LLM powered microservices using Python, FastAPI or Flask.
* Build internal AI tools, assistants and automated workflows.
* Deploy AI systems on AWS including Bedrock, Lambda, ECS or EKS, API Gateway and S3.
* Implement CI/CD pipelines and ensure monitoring, observability and reliability across deployed systems.
Your Skills and Experience
* Strong commercial experience with Python and production engineering practices.
* Practical experience building RAG systems and agentic architectures.
* Hands on knowledge of vector databases such as Pinecone, Weaviate or Qdrant.
* Experience deploying LLM or AI applications on AWS.
* Ability to design, operate and maintain AI systems independently.
* Comfortable working in evolving environments and taking ownership of technical solutions.
What They Offer
* Salary of £75,000 to £95,000 depending on experience.
* Equity package.
* Annual performance bonus.
* Opportunities to influence AI strategy and contribute to future client facing products.
How to Apply
To be considered for the Senior Associate AI Engineer role, please apply with your CV.
To Apply for this Job Click Here
Lead Data Platform Engineer
Sheffield
£75000 - £85000
+ Data Engineering
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead Data Platform Engineer
Liverpool
£75000 - £85000
+ Data Engineering
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Lead Data Platform Engineer
£75,000 – £85,000
Remote
You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best‑in‑class data engineering practices.
THE COMPANY
This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities.
THE ROLE
As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure.
Specifically, you can expect to be involved in the following:
- Designing and developing end‑to‑end data platform solutions in Azure using Databricks
- Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation.
- Implementing CI/CD and DevOps best practices across data pipelines and platform components.
- Taking ownership of design decisions and long‑term architectural direction.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- Deep expertise with Azure Databricks, including development, deployment, and platform‑level engineering.
- Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory.
- Solid understanding of DevOps practices including CI/CD and automated testing.
- Experience with monitoring, logging, and alerting solutions.
- Ability to work effectively with stakeholders across engineering functions.
BENEFITS
The successful Lead Data Platform Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – depending on experience
- Competitive bonus and benefits.
- Remote work with a flexible 35-hour week that can be taken as a 4-day week.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Power BI Developer
Manchester
£30000 - £35000
+ Advanced Analytics & Marketing Insights
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Are you a Power BI Developer who genuinely cares about building beautiful, intuitive, high‑impact dashboards? I’m hiring for a Power BI specialist at a major multi‑brand group with a centralised data function that works across digital, creative, technology, and customer‑facing teams. This is a role for someone who lives and breathes Power BI – modelling, DAX, UX, and storytelling.
You’ll work across a wide range of business areas and stakeholders, translating ambiguous briefs into real, meaningful dashboards that teams actually use. It’s a highly visible, design‑centric role where quality really matters.
What you’ll be doing
- Designing and building Power BI dashboards to an exceptional standard of visual design and user experience.
- Developing robust data models using star schema principles, setting up relationships, hierarchies, and optimised structures.
- Writing efficient, clean DAX – including complex measures and time intelligence.
- Using Power Query (M) to build transformations and shape data inside Power BI.
- Establishing and managing consistent design systems, templates, and themes across reports.
- Leading scoping conversations to translate unclear or ambitious requests into clear dashboard requirements.
- Producing wireframes and mock‑ups to align design direction prior to build.
- Auditing and improving existing reports for performance, maintainability, and UX.
- Documenting models and dashboards clearly for long‑term maintainability.
- Managing deployments, workspaces, and pipelines in Power BI Service.
What you bring
Must‑haves:
- Strong, demonstrable Power BI development experience – you’ll need a portfolio or examples of your work.
- Deep understanding of data modelling, star schema, relationships, and model optimisation.
- Advanced DAX (complex measures, performance optimisation).
- Strong Power Query (M) capabilities.
- Ability to translate complex data into clear, actionable narratives through dashboard structure and design.
- Confidence in client‑facing or stakeholder‑facing conversations, scoping requirements, and pushing back constructively.
- Experience building maintainable, scalable, and high‑quality Power BI solutions.
Nice to have:
- Experience with Tableau or Qlik.
- Familiarity with DAX Studio or Tabular Editor.
- Understanding of accessibility best practice in dashboard design.
Note:
The business does not require marketing analytics experience for this version of the role – the priority is powerful Power BI development and design expertise, not domain experience.
Why this role
- Work with a highly respected centralised data team supporting multiple brands and functions.
- Big focus on design quality – the team genuinely cares about UX, storytelling, and building dashboards people love.
- Strong support from senior leaders and exposure to high‑profile projects across the wider organisation.
- Join during a period of growth with opportunities for progression and technical development.
To Apply for this Job Click Here
Senior BI & Insights Analyst
Birmingham
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Are you a BI Analyst who loves solving complex problems, shaping strategy through insight, and building modern analytics from the ground up? I’m hiring for a Senior BI & Insights Analyst at a fast‑growing organisation that’s using data, innovation, and technology to drive meaningful impact. This is a brilliant opportunity for someone who wants ownership, variety, and influence across multiple business areas.
You’ll play a key role in helping the business move away from siloed, Excel‑heavy reporting into a scalable, centralised analytics culture, designing dashboards, delivering insights, and driving data literacy across teams. You’ll work across finance, compliance, people, customer, marketing, product, and sales, partnering with stakeholders from day one.
Salary: £45k-£50k
Remote (UK)
What you’ll be doing
- Lead end‑to‑end BI and analytics projects, from defining the problem to deploying the solution.
- Design dashboards, reporting frameworks, and analytical methodologies that drive measurable business value.
- Partner with stakeholders to define KPIs, understand challenges, and translate requirements into actionable insights.
- Measure the impact and ROI of analytics work, ensuring outputs influence strategy and decision‑making.
- Work across Salesforce, NetSuite, HR, finance, and operational systems.
- Collaborate with data engineering teams to ensure pipelines are reliable, scalable, and high‑quality.
- Lead workshops, insight playbacks, and training sessions to boost data literacy across teams.
- Document processes, create self‑serve materials, and help replace siloed Excel reporting with modern BI.
- Optimise existing dashboards and introduce best practices in analytics and emerging tools.
What you bring
- Expertise in Power BI.
- Strong SQL; Python or R is a bonus.
- Experience with data modelling (dimensional, star schema, semantic layers).
- Understanding of data pipelines and cloud platforms (AWS, Azure, Snowflake, GCP).
- Strong business acumen – able to turn strategy into analytics.
- A track record of delivering insights that lead to measurable outcomes.
- Problem‑solver, critical thinker, and confident communicator.
Why this role
- High autonomy and ownership – you influence how analytics is done across the business.
- Huge variety – you’ll work across multiple functions and make a real impact.
- A chance to shape BI foundations, processes, and capability as the organisation scales.
- A forward‑thinking environment that embraces innovation and change.
To Apply for this Job Click Here
CAN’T FIND THE RIGHT OPPORTUNITY?
STILL LOOKING?
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.