Staff Data Scientist, Product Analytics
San Francisco / $200000 - $250000 annum
INFO
$200000 - $250000
LOCATION
San Francisco
Permanent
Job Title: Staff Data Scientist
Location: Remote (US Only)
Salary: $200-250k base + equity
About the Company:
Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company's app is widely used across U.S. schools and impacts millions of children worldwide.
Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you're eager to work with some of the best minds in the industry, we encourage you to apply!
Position Summary:
As a Staff Data Scientist, you will be a key player in developing the world's leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company's strategic direction and tackle challenging product and business issues.
Key Responsibilities:
- Utilize data-driven insights to inform decisions and drive our brand toward new milestones
- Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
- Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
- Lead data science projects, influencing strategic choices and addressing complex problems
Your Skills and Experience:
- 8+ years of experience in data science and product analytics
- Experience in the consumer technology sector
- Proficient in writing efficient SQL queries for large datasets
- Skilled in designing and analyzing A/B tests
- Strong understanding of growth strategies for consumer products
- Experience working in fast-paced startup environments
- Excellent verbal and written communication skills
- Strategic thinker with a keen focus on product development
- Innovative approach to using data to drive product strategy
SIMILAR
JOB RESULTS
Data Governance Manager
London
£65000 - £75000
+ Data Engineering
PermanentLondon
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Data Governance Manager
Salary: £75,000
Location: London (Hybrid)
They’re looking for a Data Governance Manager who can turn complexity into clarity, someone who can build trust into data at scale, unlock responsible access, and lay the foundations for analytics, AI, and smarter decisions across the business.
The Opportunity
This role leads the design and delivery of a company-wide data governance strategy to ensure data is trusted, compliant, and consistently used to support decision-making. You will establish clear data ownership and stewardship, working closely with teams across the business to embed accountability and best practice. The role is responsible for setting pragmatic governance policies that balance control with accessibility, enabling innovation while managing risk.
You will champion high standards of data quality, documentation, and transparency, helping colleagues confidently understand and use data. As a senior advocate for governance by design, you will foster a strong culture of data literacy, responsibility, and continuous improvement as the organisation grows.
Role and Responsibilities
This role leads the design and delivery of a modern data governance strategy across a cloud-based data platform, ensuring data is trusted, compliant, and scalable. You will work closely with Data Engineering to define data domains, ownership, and stewardship across the organisation, leveraging platforms such as GCP and BigQuery. The role is responsible for establishing data quality, lineage, metadata, and documentation standards using governance and transformation tooling including Dataplex and dbt.
You will implement and oversee access controls and privacy-by-design processes, including IAM policies and regulatory impact assessments. Acting as a governance leader within the data function, you will enable analytics, ML, and AI use cases while embedding strong data literacy and accountability across the business.
Interview Process
- Introductory Conversation – Technical Deep Dive
- Culture Fit with CTO
If interested in this role, apply now!

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Data Governance Manager
London
£70000 - £75000
+ Data Management & Governance
PermanentLondon
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Data Governance Manager – Hybrid – London
£70,000 – £75,000
Company
We’re working with a well-established UK insurer operating in a specialist, data-led part of the market. The business combines modern technology with human expertise to support customers whose needs fall outside traditional insurance models.
You’ll be joining a collaborative, growing organisation that has been externally recognised as a great place to work. Hybrid working is embedded, with flexibility around hours and location and a requirement to attend the South West London office at least one day per week.
Responsibilities
This role leads the design and delivery of a modern data governance framework, ensuring data is trusted, compliant, and fit for analytics, ML, and AI use cases.
Key responsibilities include:
-
Owning and implementing a scalable, cloud-based data governance strategy
-
Defining data domains, ownership, and stewardship with Data Engineering and business teams
-
Establishing pragmatic governance policies, standards, and controls
-
Partnering with project owners to identify and resolve governance risks
-
Championing responsible data access and improving data literacy across the organisation
-
Setting standards for data quality, lineage, metadata, and documentation
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Implementing IAM access controls and supporting DPIAs and LIAs
Requirements
Essential:
-
Strong experience designing and implementing modern data governance frameworks
-
Knowledge of metadata-driven and AI-aware governance best practice
-
Ability to work across technical and non-technical stakeholders
-
Hands-on experience with data cataloguing, quality, lineage, and governance tooling
-
Experience with IAM access controls, DPIAs, and LIAs
-
Excellent communication and stakeholder management skills
Desirable:
-
Experience with GCP, Dataplex, BigQuery, and/or dbt
-
Background in insurance or regulated environments
-
Experience delivering data literacy or stewardship initiatives
Benefits
-
Flexible hybrid working
-
Strong focus on learning and career development
-
25 days’ holiday plus bank holidays (with buy/sell options)
-
Private healthcare, life insurance, and pension
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Annual discretionary bonus
-
Wellbeing initiatives, charitable giving, and team events
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Product and retail discounts

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Credit Strategy and Analytics Manager
New York
$225139.45 - $273818.25
+ Risk Analytics
PermanentNew York
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Credit Risk Manager
Build, Own & Scale a High-Velocity Lending Machine
NYC | 80% Onsite
Up to $225k
If you’re the kind of Credit Risk leader who sees the world in distributions, who gets a rush from beating expected loss curves, and who feels personally offended when performance drifts 15bps – this is your role.
A fast-growing, profitable consumer lending fintech (backed by top-tier investors) is hiring a Credit Risk Manager to take full ownership of approve/decline, line assignment, pricing, and loan duration strategy. This is a high-impact, highly-visible role where you will be shaping the risk engine of a business that already has strong PMF and ~$70M annualized revenue.
This is not a maintenance job. It’s a build, test, break, optimize, repeat environment. If you want autonomy, intensity, and the mandate to run experiments quickly – not fight through layers of bureaucracy – you’ll thrive.
What you’ll own
You will directly impact portfolio profitability by:
- Designing a risk strategy resilient enough to withstand a 100% increase in losses without margin deterioration
- Eliminating cohort drift through rapid, targeted rule adjustments
- Launching high-velocity experiments in approve/decline, pricing, lines, and duration
- Generating $1M incremental gross profit in year one, $5M by year two
Who this is for
People who crush it in this environment typically come from:
- Credit strategy roles at Capital One, Chime, Stripe, Affirm, Upstart, Nubank, Stori or similar
- Subprime / near-prime consumer lending
- LATAM consumer lending portfolios
You should bring:
- Advanced SQL and complete analytical autonomy
- Experience in non-prime or LATAM lending (required)
- Ability to form strong opinions and defend them with data
- Healthy paranoia – you’re the type who digs 3 layers deeper when numbers look “off”
- Executive-level communication and presence
Why join
You’ll be working with founders who scaled a lending business by applying an experimentation culture. They’re analytical, high-velocity operators who are building a credit product consumers love. The company is:
- Profitable
- Fast-growing (13% growth in November, 14% in October)
- Well-capitalized with both equity and debt
- A performance culture with high standards, deep trust, and zero mediocrity
If you want to own the credit box, move fast, and see your decisions impact P&L within weeks, not quarters, this is the place to do it.
Compensation
- NYC: $175K-$225K base + competitive equity
- Full medical/dental/vision, 401(k), extended parental leave, relocation support
If you’re a top 1% performer in credit risk and want a role where your ideas become experiments and your experiments become millions in profit – DM me or apply directly.

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Senior Manager – Product Analytics – B2B SaaS
New York
$182545.5 - $243394
+ Advanced Analytics & Marketing Insights
PermanentNew York
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Senior Manager, Product Analytics
High-Growth SaaS / Marketplace
New York City (4 days onsite)
Up to $200,000 + equity
We’re supporting a fast-scaling, NYC-based venture-backed SaaS/marketplace company that is building out a new analytics leadership layer – and they’re hiring a Senior Manager, Product
Analytics.
This company has grown rapidly over the past few years and is now investing heavily in its data capabilities. You’d join a small but mighty data team that is highly trusted across the organisation, partnering closely with Product, Engineering, and Design to drive measurable product outcomes.
The Product org is half the company and the fastest-growing function – and they need an experienced leader to truly own and elevate product analytics.
This role is a true player-coach: part IC, part leadership, and ideal for someone who knows what “great” looks like in a startup environment and wants the autonomy to build people, processes, and experimentation programs from the ground up.
What you’ll do
- Lead analytics for high-complexity product areas, partnering with senior product leaders.
- Roll up your sleeves: deep-dive analysis, performance measurement, hypothesis validation.
- Stand up experimentation practices (A/B testing, causal inference, etc.).
- Build scalable data models and self-serve analytics.
- Mentor and develop a growing team (starting with one direct report).
- Help define data strategy, influence roadmaps, and evolve analytics best practices.
What we’re looking for
- 7+ years in product analytics, data science, or similar.
- Experienced in b2b SaaS environments
- Strong SQL + experience with Python; experience with tools like BigQuery, dbt, Amplitude/Omni, Hex.
- Prior startup experience; ability to navigate ambiguity and influence visionary stakeholders.
- Experience running experiments and working directly with Product teams.
- People leadership experience (formal or informal).
- Someone excited to build trust with a Product org and unlock a new level of data maturity.
Why this company?
- Backed by top-tier VCs with significant recent investment.
- Data team is highly respected, collaborative, and business-critical.
- Huge greenfield opportunity: experimentation, DS notebooks, modelling.
- Mission-driven company with a strong people-centric culture.
- Fast-growing product organisation hungry for analytics partnership.
- NYC HQ, hybrid environment.
If you’re a product analytics leader who enjoys both strategy and hands-on work – and you thrive in fast-moving, mission-driven environments – this is one worth exploring.
Feel free to DM me for details or to apply anonymously.

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Senior Analyst – GTM, Sales, Marketing Analytics
New York City
$170375.8 - $194715.2
+ Advanced Analytics & Marketing Insights
PermanentNew York
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Senior Data Analyst – Go-To-Market (GTM)
New York City
$160k + benefits
I’m partnering with a fast-growing, VC-backed consumer-tech company that’s building one of the most innovative platforms in their category. Their Data team sits at the centre of the business – supporting Product, Growth, Ops, Finance, Engineering and more – and is known internally as a trusted, high-impact partner.
After significant growth over the last 18 months, they’re now hiring a Senior Data Analyst focused on GTM (Sales, Marketing & Growth) to become the subject matter expert for all things commercial analytics.
This is an opportunity to join a small but mighty team (currently six), reporting into a Director of Data who has built the function since Q1 2024. You’ll partner with Marketing, Sales and Growth Product leaders to improve conversion, optimise acquisition channels, and help scale their advisor marketplace.
What You’ll Do
- Own GTM analytics end-to-end, covering marketing performance, sales funnel efficiency, advisor acquisition and revenue insights.
- Develop experimentation frameowrk and run incrementality tests, AB tests, attribution work and high-visibility deep dives.
- Build scalable data models + analytics infrastructure (BigQuery, dbt, Omni, Hex).
- Act as a thought partner to senior stakeholders – shaping hypotheses, defining metrics, driving clarity in KPIs.
- Model and clean GTM data, partnering closely with RevOps / Sales leadership.
- Level up the business with documentation, training and enabling self-serve analytics.
- Influence processes and analytical standards as an early hire during an inflection point.
What They’re Looking For
- 4+ years in analytics, ideally in SaaS, marketplaces or b2b environments.
- Strong background in GTM, sales analytics, performance marketing, or RevOps.
- Expert SQL skills; Python/R helpful.
- Experience with modern data stack: Airbyte, dbt, BigQuery, Omni or equivalents.
- Strong communicator who can influence and challenge stakeholders.
- Pragmatic mindset – focused on real-world business impact over academic analysis.
- Thrives in fast-moving start-up environments with lots of opportunity to build from scratch.
Why This Team?
- Highly respected across the organisation – seen as strategic partners, not just data providers.
- Very people-focused, collaborative and user-centric environment.
- Fast-growing company with upward charts and tons of greenfield GTM analytics work.
- Mission-driven business that empowers entrepreneurs – meaningful problems, fun industry.
- In-person culture in a beautiful NYC office.
Compensation & Details
$120k-$160k base + equity
Unlimited PTO
Full medical, dental & vision
401k with company match
Commuter benefits
NYC (TriBeCa/FiDi), in-office role
If you’d like to learn more or have a background in GTM or growth analytics, feel free to message me directly.

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Lead Customer Insight Analyst
Leeds
£60000 - £70000
+ Digital Analytics
PermanentLeeds, West Yorkshire
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LEAD CUSTOMER INSIGHT ANALYST
£60,000-£70,000 + 10% Bonus | Leeds (2 days/week) | Healthcare E-commerce
THE COMPANY
UK’s largest online healthcare platform delivering prescriptions directly to patients’ homes. Four core divisions: NHS prescription delivery, private online consultations, pet healthcare, and direct-to-consumer health products. PE-backed, forecasting 20% growth, scaling to £1bn+ turnover.
THE ROLE
Lead the customer insight function and manage a team of 4 Insight Analysts. Full ownership of customer segmentation, LTV modeling, and insight strategy across acquisition, retention, and lifecycle campaigns. Report to Head of Customer Insight. Hands-on leadership role – balance strategic ownership with getting into the data yourself.
WHAT YOU’LL DO
- Own LTV modeling and RFM analysis across the business
- Build customer segmentation frameworks for acquisition and retention programs
- Work with social listening tools and voice of customer data
- Design and analyze A/B tests to optimize campaigns
- Partner with Data Science on predictive models (churn, propensity, scoring)
- Present insights to CMO, CRM Director, and Finance teams
- Manage team of 4 analysts – set direction, develop talent, show what great looks like
KEY PROJECTS
- Azure to Microsoft Fabric migration (starts January)
- Tableau to Power BI migration
- LTV model rollout across organization
- RFM integration into CRM workflows
- Smart Reminders campaign measurement (prescription refills)
WHAT YOU NEED
Essential:
- Strong SQL (querying large datasets, complex joins, optimization)
- Customer segmentation, LTV modeling, or RFM analysis experience
- Understanding of predictive models (churn, propensity, scoring)
- Power BI or Tableau for dashboards
- Team leadership or mentorship experience
- Confident C-suite communicator with energy and presence
Highly Desirable:
- Subscription business or repeat purchase experience
- E-commerce or direct-to-consumer analytics
- Marketing analytics background
- Python or R for data analysis
TECH STACK
SQL (essential) | Power BI (migrating from Tableau) | Azure/Microsoft Fabric | Python (nice to have) | Social listening tools
WHAT’S ON OFFER
- £60K-£70K base + 10% bonus
- Leeds hybrid (2 days/week, near M1)
- Greenfield opportunity to build insight function
- Team will grow significantly if successful
- High visibility with senior leadership
- Mission-driven: helping patients access healthcare
INTERVIEW PROCESS
- 1-hour with Head of Customer Insight (motivations, fit)
- Technical task: dataset + brief, create insight output in Power BI, present findings (~90 mins, preferably F2F Leeds)
- Final interview (senior leadership, offer)
Timeline: 2-3 weeks
HOW TO APPLY
Send CV to Mohammed Buhariwala at Harnham
Keywords: Customer Insight, LTV, RFM, Segmentation, SQL, Power BI, Healthcare, E-commerce, Leeds

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AWS Cloud Engineer
Leeds
£75000 - £90000
+ Data Engineering
PermanentLeeds, West Yorkshire
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AWS Cloud Engineer
Fully Remote
Salary: up to £90,000
I’m working with an AI-focused, fast-growing startup in the gaming sector who are looking to bring on an AWS Cloud Engineer. They are looking for someone who’ll be able to design and deploy scalable AWS infrastructure, with infrastructure at the core of your work – while occasionally contributing across DevOps, backend, and frontend as projects require.
What You’ll Do
- Design, build, and operate scalable AWS infrastructure
- Implement Infrastructure as Code using AWS CDK
- Support AI platforms and products to ensure reliability, performance, and security
- Work across DevOps practices including CI/CD and containerisation
- Collaborate directly with stakeholders and clients
- Contribute to AI-driven solutions
Tech Stack
- AWS (core services, security, networking)
- Infrastructure as Code: AWS CDK
- Languages: Python and/or TypeScript
- Containerisation: Docker/ Kubernetes
- AI environments and production AI workloads
- AWS Bedrock (nice to have)
Hiring Process
- Initial conversation with the CTO
- Short project walkthrough or presentation
- Virtual meeting with the founders

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Senior Data Engineer
Accrington
£48000 - £55000
+ Data Engineering
PermanentAccrington, Lancashire
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Senior Data Engineer
Location: Accrington – hybrid
Salary: £48,000-£55,000
About the Role
My client is seeking a talented Senior Data Engineer to join a growing data function and play a key role in modernising data platforms, driving best practices, and mentoring junior colleagues. This role is ideal for someone who can hit the ground running, take ownership of key projects, and contribute to a collaborative and business-facing team.
You’ll work across a modern data stack centred on Snowflake, SQL, Python, and DBT, while also contributing to cloud-based ingestion pipelines and regulatory reporting initiatives.
What You’ll Be Doing
- Leading data engineering projects and acting as a senior point of contact within the team.
- Working closely with business SMEs and stakeholders to understand requirements and influence decisions.
- Designing and building scalable ingestion pipelines into Snowflake.
- Mentoring junior engineers and supporting team development.
- Working with tools such as Jira, Azure DevOps, AWS S3 (for file storage), and DBT (nice to have).
Tech Stack & Skills
Essential:
- Strong SQL and Python skills
- Solid experience with Snowflake
- 3+ years in Data Engineering, including at least 1 year in a senior or lead capacity
- Experience leading projects and communicating with senior stakeholders
- Strong soft skills and the ability to contribute to senior-level discussions
Nice to Have:
- Fundamental understanding of DBT
- Experience with AWS (especially S3), Azure DevOps, Jira
- Experience with data governance and regulatory reporting

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Platform Engineer
London
£65000 - £75000
+ Data Engineering
PermanentLondon
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Platform Engineer
Central London (2-3 days in-office)
£65,000 – £75,000 + 10% bonus
This is a chance to join a small, high-impact Cloud Infrastructure team inside a fast-growing, tech-first financial services organisation. You’ll be responsible for running, scaling and improving the cloud platforms that power real, customer-facing products used by hundreds of thousands of people every day.
What you’ll be working on:
- AWS-based environments supporting mission-critical, customer-facing applications
- Kubernetes (EKS) clusters in production
- Infrastructure as Code with Terraform
- Highly available, scalable platforms used for current accounts and investment products
- Secrets and access management (Vault exposure a bonus)
Tech you’ll need:
Essential
- AWS (EC2, VPC, IAM, Load Balancers, Lambda, API Gateways) (Open to GCP/Azure with extensive Kubernetes experience)
- Kubernetes (EKS) – real production experience
- Terraform (hands-on, not just running other people’s modules)
Nice to have
- HashiCorp Vault
What they’re looking for:
- 3-5+ years of experience in Cloud / Platform / DevOps engineering
- Strong Kubernetes exposure in production environments
- Confidence owning infrastructure and driving improvements
- Someone who enjoys autonomy, collaboration, and problem-solving
- Financial services experience is nice, but not required
Why this is worth your time:
- Work abroad for up to 120 days per year
- Highly modern, cloud-native environment (no legacy!)
- Small team = real influence + real ownership
- Strong focus on learning, wellbeing and flexibility
- Fast, simple 2-stage interview process (fully remote)
Interview process
- Behavioural interview (45 mins – Zoom)
- Technical + values interview (80 mins – Zoom)

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Digital Data Analyst
£40000 - £50000
+ Digital Analytics
PermanentEngland
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Digital Data Analyst – Up to £45,000
Burton Upon Trent – Hybrid (2x per month in office)
A growing analytics team is hiring a Digital Data Analyst to optimize web performance, track user behavior, and provide real-time insights across 80+ websites. This is a hands-on role, working with SQL, GA4, Looker, Power BI, and Excel to assess data quality, debug tracking issues, and generate reports that drive key business decisions.
The Company
A well-established brand in the hospitality sector, operating over 2,600 pubs, restaurants, and hotels across the UK. Their digital analytics function is expanding to enhance website performance, customer journeys, and marketing effectiveness.
The analytics team is structured into four key areas:
- Digital – Website and app reporting, deep-dive analysis, and future planning
- CRM – Customer database management, campaign analysis, and reporting
- Loyalty & Customer Insights – Understanding and segmenting customer behavior
- Data Science & Engineering – Supporting analytics efforts and proving business value
The Role
As a Digital Data Analyst, you will be responsible for website performance analytics, ensuring high-quality data reporting and debugging tracking issues. You will provide valuable insights that enhance the customer experience and improve conversion rates.
Key Responsibilities:
- Ensure data quality and debug tracking issues for web analytics tools such as GA4, Looker, and Power BI
- Extract, assess, and report on website data, delivering actionable insights
- Work with SQL to manipulate and analyze datasets
- Build automated dashboards and reports to track website performance
- Support conversion rate optimization (CRO) initiatives by identifying drop-off points in customer journeys
- Work with marketing and product teams to optimize digital campaigns and user experiences
Your Skills and Experience
The ideal candidate is a web analytics professional with strong technical expertise and the ability to turn data into insights.
Essential:
- Strong SQL skills with experience in extracting and transforming web data
- Experience with GA4 (Google Analytics), Looker, and Power BI
- Understanding of website tracking, tag debugging, and data validation
- Proficiency in Excel for manual reporting where necessary
- Ability to interpret data trends and make recommendations
Nice to Have:
- Experience with Microsoft Clarity
- Knowledge of CRO and website optimization strategies
- Background in Adobe Analytics (not required but beneficial)
The Benefits
- Salary up to £45,000
- Hybrid working with 2x per month in Burton Upon Trent
- Exposure to a high-growth analytics function
- Collaboration with Data Science, CRM, and Marketing teams
- Strong career progression opportunities
How to Apply
Please register your interest by sending your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Key Terms
Digital Analyst, Web Analytics, SQL, GA4, Google Analytics, Looker, Power BI, Microsoft Clarity, Data Visualization, CRO, Dashboarding, Reporting, Data Science, Customer Insights, Tag Debugging, Conversion Rate Optimization, Hospitality Analytics, Burton Upon Trent, Hybrid Work.

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Senior Insights Analyst
London
£45000 - £55000
+ Digital Analytics
PermanentLondon
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Senior Insight Analyst – £55,000 + Benefits
Remote (UK-Based)
Modern BI Stack | Data Transformation | Commercial Insight
Are you a commercially minded analyst who loves turning complex data into actionable business insight?
Our client – a leading UK distributor and supplier of industrial products – is undergoing a major data transformation and is seeking a Senior Insight Analyst to help drive smarter, data-led decisions across the business.
This is a fantastic opportunity to play a key role in shaping how data supports pricing, profitability, and operational performance within a dynamic, product-heavy environment.
The Role
As Senior Insight Analyst, you’ll sit within a forward-thinking transformation team, working closely with senior stakeholders across sales, marketing, finance, and supply chain.
You’ll analyse performance across thousands of SKUs and customers, deliver pricing and margin insights, and help build the foundations of a modern, connected BI environment under Microsoft Fabric.
This role is ideal for someone who enjoys blending commercial thinking with technical analytics – not just reporting numbers, but understanding the why behind them.
What You’ll Be Doing
-
Lead analytical work across pricing, rebates, and margin performance, helping identify where value is gained or lost.
-
Deliver actionable insights across sales, marketing, finance, and supply chain.
-
Partner with ecommerce teams to improve visibility of digital performance and customer behaviour.
-
Support key data integration and transformation projects within the Microsoft Fabric environment.
-
Translate large datasets into clear, commercial recommendations for senior stakeholders.
-
Contribute to key strategic initiatives, including price, volume, and mix analysis and margin optimisation.
Tech Environment
Core Skills: SQL (essential), Power BI (advantageous)
Platform: Microsoft Fabric (mid-implementation)
Languages: Python (pandas/numpy – desirable, not essential)
Other: Salesforce & Google Analytics exposure beneficial
About You
-
Proven experience as an Insight Analyst, ideally in wholesale, distribution, or another product-heavy industry.
-
Strong knowledge of pricing, rebates, and margin analysis.
-
Excellent SQL skills and analytical problem-solving capability.
-
Commercially aware – able to tell stories with data and influence decisions.
-
Confident communicator who can engage across multiple business areas.
-
Naturally curious, proactive, and adaptable in a fast-changing environment.
Why Apply?
-
Join a business at the heart of a major BI and data transformation.
-
Blend commercial strategy with technical analytics.
-
Work within a supportive team driving real change and visibility.
-
Exposure to Microsoft’s modern Fabric BI stack.
-
Flexible, fully remote working with occasional collaboration days in the Midlands.
If you’re passionate about using data to drive profitability and operational excellence – and want to make a real impact within a modern, evolving BI landscape – apply in confidence today.

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Senior Analyst
London
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000
A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.
What You’ll Do:
-
Work closely with the Head of Analytics to deliver actionable insights across the network of charging points
-
Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth
-
Build statistical models for segmentation, regression, predictive modelling, and forecasting
-
Support pricing and revenue optimisation initiatives, including dynamic pricing strategies
-
Query and process large datasets coming from multiple real-time sources
-
Translate complex analysis into clear recommendations for non-technical stakeholders
What You’ll Need:
-
Strong SQL and Python skills; experience in AWS environments is a plus
-
Solid statistical analysis background (segmentation, regression, forecasting)
-
Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment
-
Excellent communication skills and ability to take ownership of projects
-
Experience delivering actionable insights rather than exploratory or purely machine learning work
Interview Process:
-
Remote competency interview and CV review
-
Face-to-face interview with testing component (details to be confirmed)
Find out more and apply via the link below.

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