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Reporting Analyst

Salary up to £50,000 + 10% Bonus

London – 3 days in the office

The Company

A rapidly scaling green technology business backed by private equity with significant investment going into data and analytics.

Data is at the core of their current growth strategy and the business is expanding the in house data function to support better decision making and commercial performance.

The Role

This position sits within a central data team during a period of transformation. The business has invested in Snowflake, AWS and Power BI and is now focused on building more effective reporting and insight capabilities.

You will own the development of reports and dashboards for BAU and KPI needs across the company. There is strong demand from stakeholders in commercial, finance and sales teams and you will be responsible for helping them understand performance, trends and opportunities. As the function matures there is also scope for the role to evolve further into more strategic insight work.

Your Skills and Experience

• Strong experience with SQL and Power BI
• Able to build dashboards and reports in a commercial environment
• Someone who has experienced smaller or scaling teams and enjoys working in a collaborative set up
• Great communication skills and the ability to partner with stakeholders

Why Apply

This is an opportunity to join a business that is investing heavily in data at an early stage of the journey. You will be influential in shaping the reporting capability and will have room to develop into more insight focused work as the team grows.

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BI Analyst

London based | 1 day in the office

Salary up to £60,000

Company

An established, consumer facing tech business is growing its Insights team and is hiring a BI Analyst to partner closely with Customer Experience, Product, and Operations teams.

The role

You will sit within an Insights function that works hand in hand with the Customer Experience team. Your focus will be on making data accessible, delivering deep dive analysis, and helping the business understand the key drivers behind customer contact and satisfaction.

Day to day, you will

• Build and maintain dashboards tracking customer experience metrics
• Lead the migration of dashboarding into scalable formats
• Create ETLs from raw data sources to make data easy to consume
• Support Customer Experience teams with analytical requests
• Identify opportunities to improve customer experience through data led insight
• Measure the impact of strategic and tactical changes
• Perform root cause analysis when performance dips
• Work cross functionally with teams such as Trust & Safety, Seller Success, and Product

What they are looking for

• Strong SQL skills and experience working with large datasets
• Experience using tools such as Looker or Tableau
• Experience building ETLs from raw data sources
• Comfortable working across multiple stakeholders and problem spaces
• Commercially minded with a proactive approach
• Organised, curious, and detail focused

Nice to have

• Experience in a marketplace or consumer facing mobile product
• Exposure to Zendesk data

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Analytics Engineer
London based | Hybrid 1-2 days per week

Salary up to £75,000

We are working with a large scale, consumer facing business operating across multiple European markets. Data sits at the heart of how they grow audiences, optimise commercial revenue, and improve digital experiences, and they are continuing to invest heavily in their modern analytics platform.

The role

As an Analytics Engineer, you will be responsible for transforming raw and curated warehouse data into well modelled, analytics ready data marts. You will work across consumer, digital, and revenue domains, enabling trusted reporting in tools such as Looker, Power BI, and Tableau.

This is a hands on role with real influence over modelling standards, semantic definitions, and how data is consumed across the business.

Key responsibilities

Data modelling and transformation

• Design and build Kimball style dimensional models and gold layer marts using dbt

• Develop and maintain dbt pipelines that are performant, tested, and easy to use

• Partner with Data Engineers to shape upstream data structures and improve handoffs from ingestion to modelling

• Implement data quality testing using dbt tests and expectations frameworks

Semantic layer and analytics enablement

• Help define and maintain a consistent semantic layer across multiple BI tools

• Translate technical schemas into clear business concepts such as customers, campaigns, sessions, and revenue

• Own documentation including data dictionaries, ERDs, and semantic definitions to support self service analytics

Modernisation and migration

• Contribute to the migration of legacy warehouses into Snowflake based models

• Refactor legacy logic into dbt driven transformations

• Work on medium term projects typically spanning 6 to 9 months to align legacy stacks with modern standards

What they are looking for

Technical experience

• Strong SQL experience with Redshift or BigQuery and exposure to Snowflake or another modern warehouse

• Proven experience building production dbt models, tests, and environments

• Solid understanding of dimensional modelling and Kimball principles

• Experience working with semantic or metric layers

• Python experience for analytics or data engineering tasks

• Comfortable working with BI tools such as Looker and Power BI

• Experience working in agile teams using Git based workflows

Why apply

• Work on a modern data stack with real influence over modelling and analytics standards

• Partner closely with product and commercial teams on high impact use cases

• Hybrid working with flexibility

• Strong investment in learning, development, and long term careers

• Supportive, collaborative data culture with a clear mission around data quality and impact

If you are an Analytics Engineer who enjoys building well modelled data, cares about how analytics is consumed, and wants to work in a business where data genuinely matters, this is well worth a conversation.

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SENIOR BI ANALYST

UP TO £65,000

LONDON

THE ROLE:

This is a great opportunity to step into a role where your work genuinely shapes how customers interact with the business. Sitting within a dedicated Insights function, you’ll partner directly with Customer Experience teams to uncover what influences satisfaction, why users reach out for support, and where the biggest wins sit across the journey.

You’ll take ownership of everything from building scalable data products, to digging into behaviour trends, to helping teams understand the “why” behind performance. It’s a blend of hands-on analytics, problem-solving, and storytelling – all aimed at improving experience at scale.

WHAT YOU’LL BE DOING:

The Senior BI Analyst will:

• Owning and developing dashboards that bring CX performance to life
• Rebuilding reporting into a more scalable, reliable setup
• Creating robust data pipelines that turn raw sources into usable insight
• Structuring datasets so teams across the company can self-serve effectively
• Supporting CX leaders with analysis, investigations, and clear recommendations
• Spotting opportunity areas and validating where changes will have the most impact
• Measuring the results of new initiatives and surfacing what’s working – and what isn’t
• Running root-cause analysis when performance shifts unexpectedly
• Managing multiple stakeholders and switching context without losing momentum

YOUR SKILLS AND EXPERIENCE:

The ideal Senior BI Analyst will have the following skills and experience:

• Strong SQL and confidence working with big, messy datasets
• Experience with Looker, Tableau or similar tools
• Comfortable building ETL processes (bonus if you’ve used dbt)
• Able to move between different workstreams and stakeholders with ease
• Commercially minded – you want your work to drive change
• Curious, detail-driven and eager to keep learning
• Experience in a marketplace, P2P platform or mobile-first environment would be advantageous

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DATA ANALYST

GILLINGHAM – 3 DAYS A WEEK ONSITE

UP TO £50,000

THE COMPANY

This is a business on a real data journey. They’re scaling fast, investing heavily in analytics, and putting data at the centre of how they improve performance. If you want to join a company where analytics genuinely drives decisions, this is a great place to do it.

THE ROLE

As a Data Analyst, you’ll sit at the heart of how the organisation understands its operations. You’ll be digging into operational and service-centre data, mapping out full customer and process journeys, and turning numbers into clear, actionable insight for senior leadership. Reporting, dashboarding and performance analysis are a huge part of the role, and you’ll work closely with finance, ops and leadership to highlight what’s working – and where the opportunities are.

You’ll be responsible for:

• Exploring complex operational datasets to surface trends, issues and opportunities
• Mapping end-to-end processes and identifying areas for efficiency
• Building and owning Power BI dashboards used for real-time decision-making
• Presenting insight and recommendations to senior stakeholders
• Maintaining data quality and consistency across systems
• Highlighting data/process gaps and supporting business cases for change

YOUR SKILLS & EXPERIENCE

To be successful, you’ll need:

• Proven experience as a Data Analyst, ideally within retail, automotive or manufacturing
• Strong Power BI capability
• Solid SQL for pulling and interrogating large datasets
• Advanced Excel skills
• Experience creating dashboards and visualisations
• Strong communication skills, with the ability to translate data for non-technical teams
• Python experience is a nice-to-have, not a must

THE BENEFITS

• Salary up to £50,000
• Opportunity to shape the analytics function as it grows
• Direct exposure to senior decision-makers

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Data Analyst (Business Intelligence)

Up to £50,000 + Benefits

London

Harnham is working with a rapidly expanding company in the Green Tech space, as they continue to build out their data capability. They’re looking for a capable Data Analyst who enjoys crafting polished dashboards, digging into SQL, and turning complex datasets into practical insights the business can actually use.

THE ROLE

In this position, you will:

• Work alongside the Senior Data Analyst and Data Engineer to produce reliable, timely reporting that supports the company’s strategic and operational goals.
• Build Power BI dashboards that are both aesthetically strong and functionally intuitive, based on clear stakeholder requirements.
• Write clean, performant SQL to extract and prepare data for analysis.
• Carry out deep-dive and ad hoc analysis for teams across operations, commercial, and marketing
• Translate insights into clear, compelling narratives for audiences with varying levels of technical understanding.
• Deliver Power BI guidance and training, helping teams become more self-sufficient with their data.
• Document processes and project steps clearly, ensuring work is transparent, reproducible, and methodical.
• Collaborate through pair programming and structured testing to maintain accuracy and consistency.

YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

• 2+ years’ experience as a Data Analyst.
• A degree in a quantitative subject (STEM, Maths, Stats, Engineering, etc.).
• Strong SQL capability
• Demonstrable experience building Power BI dashboards using good UX principles.
• A methodical working style with solid organisational and documentation habits.
• Familiarity with Git/GitHub or similar version control tools.
• Comfort working closely with others on code reviews, data testing, or pair programming.
• Strong attention to detail and a structured analytical mindset.
• Confident communication and presentation abilities.
• A proactive approach, curiosity, and a willingness to continuously learn.

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Analytics Engineer

London – Hybrid

Up to £75,000

A growing data function is looking for an Analytics Engineer to help develop well-structured, reliable data models that power reporting, analytics, and decision-making across the organisation. You’ll work across the full transformation layer, shaping clean, trusted datasets and helping bring clarity to complex raw data. If you want to deepen your dbt and SQL expertise, work with modern cloud tooling, and contribute to a high-impact analytics environment, this role offers a strong platform for growth and progression.

Responsibilities

You will:

• Build and maintain dbt models across bronze, silver, and gold layers
• Support the development of clean, well-optimised data models following established Kimball-style principles
• Help design and improve aggregation and transformation logic for analytics use cases
• Work with Data Engineers to understand upstream sources and ensure transformations are reliable and well-structured
• Contribute to data quality checks, testing suites, and documentation of models and pipelines
• Assist in shaping the semantic layer for BI tools, ensuring definitions, metrics, and logic align with business needs
• Collaborate with Analysts, Data Engineers, and product teams to clarify requirements and translate them into model updates

Skills & Experience

You should have:

• Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.)
• Solid experience building models and transformations using dbt
• Understanding of dimensional modelling and data transformation principles
• Exposure to BI tools (Looker, Power BI, or similar) and how they consume data
• Experience working with cloud environments (AWS, GCP)
• Familiarity with basic data quality testing and workflow orchestration concepts (e.g., Airflow)
• Experience working in Agile, cross-functional teams
• Python experience for automation or scripting would be advantageous

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