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Senior Analytics Engineer

Remote, US based

$160k-$175k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is scaling its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive measurable impact. As the business grows, data is becoming central to how decisions are made across Finance, GTM, and Product.

This is an opportunity to step into a high ownership analytics engineering role where your work directly influences business strategy and execution.

The Role

As a Senior Analytics Engineer, you will own the analytics layer end to end. This role blends data modeling, analytics engineering, reporting, and stakeholder partnership, with a clear mandate to move the organization from reactive reporting to insight led decision making.

You will be embedded within the Finance organization and work closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with a clear path toward people leadership as the data function matures.

What You Will Do

• Own the analytics stack from data modeling in Snowflake through to dashboards and reporting in Metabase
• Design and maintain high quality data models that power trusted, scalable analytics
• Lead the migration away from legacy BI tools and establish a single source of truth
• Build self service dashboards for Finance, GTM, RevOps, and Product stakeholders
• Partner with business leaders to translate questions into durable analytics solutions
• Proactively surface insights that influence planning, forecasting, and strategic decisions
• Improve data quality, consistency, and usability across the analytics layer
• Define analytics standards, tooling, and best practices as the function evolves
• Support the transition toward predictive and forward-looking analytics over time

What We Are Looking For

• 5-7+ years of experience in analytics engineering, analytics, or data analysis
• Advanced SQL skills with hands on experience in Snowflake
• Strong experience building dashboards in Metabase
• Proven ability to own data models and analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Comfort operating independently and taking full ownership of analytics domains
• Experience with dbt, forecasting, experimentation, or predictive analytics is a plus
• Interest in modern data tooling and AI enabled analytics
• Strong communication skills and ability to work effectively with non technical stakeholders

Why This Role

This role is ideal for a Senior Analytics Engineer who wants ownership, visibility, and real influence. You will help shape how data is used across a growing SaaS organization while supporting a meaningful social mission, with the opportunity to grow into leadership as the team scales.

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Data Engineering Manager

Location: Remote, US based

Salary: $200-250k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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Senior Data Analyst

Remote (US Based)

$150-170k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is expanding its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive real impact. As the business scales, data is becoming central to decision making across the organization.

The Role:

This Senior Data Analyst role offers true end to end ownership of analytics. You will work across data modeling, analytics engineering, reporting, and stakeholder enablement, with a clear focus on moving the business from reactive reporting to forward looking, insight driven analysis.

You will be embedded within the Finance organization and partner closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with scope to grow into people leadership as the data function matures.

What you will do:

• Own the analytics stack end to end, from data modeling in Snowflake to dashboards in Metabase
• Build and maintain high quality data models that support trusted reporting and analysis
• Lead the move away from legacy BI tools and establish a single source of truth
• Deliver self service dashboards for Finance, GTM, RevOps, and Product teams
• Partner with stakeholders to translate business questions into scalable analytics solutions
• Proactively surface insights that influence strategy and decision making
• Improve data quality, consistency, and usability across the analytics layer
• Help shape analytics standards, tooling, and best practices
• Support the evolution toward predictive and forward looking analytics

What we are looking for:

• Five to seven plus years of experience in analytics, data analysis, or analytics engineering
• Strong SQL skills with hands on Snowflake experience
• Experience building dashboards in Metabase
• Proven strength in data modeling and owning analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Ability to operate independently and take full ownership of analytics domains
• Experience with dbt, experimentation, forecasting, or predictive analytics is a plus
• Interest in AI enabled analytics and modern data tooling
• Strong communication skills with non technical stakeholders

This role is ideal for a senior analyst who wants ownership, visibility, and the opportunity to shape how data is used across a growing SaaS organization with a strong social mission.

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Revenue Manager

£40,000-£50,000

Hybrid – Crewe (3x days per week in office)

THE COMPANY

Our client, a leading organisation in the railway and transportation sector, is seeking an experienced Revenue Manager to join their Revenue Management team.

THE ROLE

This role sits at the heart of the business, playing a critical role across inventory management, commercial timetabling, budgeting, forecasting, pricing, and yield management.

You’ll be responsible for driving revenue performance through a combination of strategic thinking and hands-on delivery, leading key revenue management initiatives while ensuring strong day-to-day execution.

Key responsibilities include:

• Driving revenue performance from both a strategic and operational perspective
• Leading and delivering internal revenue management initiatives
• Balancing longer-term strategic priorities with high-quality day-to-day delivery
• Managing workflows effectively to ensure priorities are met across the team
• Supporting and enabling the team to achieve revenue management targets
• Taking ownership of a core route (initially likely Anglo-Scottish, subject to internal movement)

YOUR SKILLS AND EXPERIENCE

• Strong background in revenue management and yield management
• Highly numerical and analytical mindset with strong Excel skills
• Proven track record of delivering commercial impact and results
• Experience in the transport sector strongly preferred

HOW TO APPLY

Please register your interest by sending your CV or via the Apply link on this page

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Lead Data Analyst

Permanent – £65k – London – Hybrid Working

The Role

As Lead Data Analyst, you’ll own the analytical strategy and delivery for a set of strategic client accounts. Acting as a senior data and technology partner, you’ll define client roadmaps, build robust analytical infrastructure, and translate complex data into clear, commercially focused insights for senior stakeholders.

This is a hands-on, client-facing role sitting at the intersection of data engineering, analytics, and business strategy.

What You’ll Do

• Own end-to-end delivery of client data projects
• Design and maintain production-grade data models using SQL and dbt
• Lead analytical strategy, measurement, and attribution discussions
• Build compelling dashboards and data stories for senior audiences
• Manage multiple workstreams and client roadmaps
• Mentor junior analysts and set high analytical standards

About You

• Expert-level SQL and strong dbt experience
• Proven client or stakeholder management experience (consulting/agency a plus)
• Advanced data visualisation skills (e.g. Tableau, Looker)
• Strong understanding of digital marketing data (GA4, Google Ads, Meta Ads, attribution)
• Excellent communication and organisational skills
• Comfortable operating as a senior individual contributor and team leader
• Experience or interest in Python / data modelling is a bonus

If you are interested in the role, please apply. To follow up please email or message me on LinkedIn.

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Lead Data Analyst

London/Hybrid

Up to £65,0000

Are you a spirited Data Analyst who enjoys engaging with people? We are partnering with a marketing agency who are looking to bring in a Lead Data Analyst and to continue their rapid growth!

ROLES AND RESPONSIBILITIES:

The Lead Data Analyst will:

-Take ownership of strategic client accounts

-Own the tech roadmap

-Engage with internal and external stakeholders

-Work with Data Analysts to coordinate on dashboarding and reporting etc.

-Prioritise projects at the business

-Be responsible for end to end delivery of data projects from strategy with the client all the way to presenting insight to stakeholders

-Get involved technically when needed

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

-Great communication skills allowing you to communicate technical language to non-technical people

-Strong experience in SQL

-Previous experience in digital marketing data including Google Ads, Meta Ads and GA4

-Vast expertise using data visualisation tools (Power BI, Looker, Tableau etc)

-Ability to mentor junior analysts as a senior leader within the team

-Strong project management skills allowing you to manage multiple tasks

-Experience with dbt for data modelling

-Interest or experience in Data Science/Modelling

APPLY BELOW!

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Technical Programme Manager

£90,000 to £95,000
12 month contract
London, hybrid working 3 days per week in office

We’re supporting a large scale, consumer facing technology business on the hire of a Technical Programme Manager to join their Transformation and Delivery function on a 12 month contract. This role sits at the centre of business wide technical change, owning complex, cross functional programmes that cut across systems, data platforms, engineering and tooling.

The business operates at significant scale and complexity, with transformation initiatives becoming increasingly critical to how it delivers growth, governance and operational efficiency. This role works closely with senior leaders across the organisation, including C suite and VP level stakeholders, translating complex technical programmes into clear strategic narratives.

This is not a delivery only role. You’ll be expected to operate in ambiguous problem spaces, bring structure where there is uncertainty, and drive momentum across initiatives that don’t naturally sit within a single function.

The role

• Owning end to end delivery of complex, cross functional technical programmes

• Acting as a connector across data, engineering, finance, product, IT and security

• Structuring ambiguous problem areas into clear workstreams, priorities and outcomes

• Driving pace and progress while balancing risk and trade offs

• Translating technical detail into clear, senior level updates for exec stakeholders

• Managing dependencies, risks and competing priorities across fast moving initiatives

• Proactively identifying opportunities for transformation and improvement

Key initiatives include

• Systems portfolio management and governance across a complex technology estate

• AI tooling and enablement, including evaluation, procurement and rollout

• Time critical data platform ingestion migrations with significant dependencies

• Platform scaling and enablement to support high volume consumer transactions

What we’re looking for

• Proven experience as a Technical Programme or Project Manager in a tech led environment

• Strong background working with data platforms, software systems or technical infrastructure

• Comfortable operating at speed in complex organisations

• Able to absorb technical detail quickly without needing to be the subject matter expert

• Confident influencing senior stakeholders and driving alignment without authority

• Pragmatic mindset, prioritising outcomes over perfection

• Curious about AI and emerging technologies

Experience from large scale technology businesses is strongly preferred.

Additional details

• 12 month contract

• £90,000 to £95,000 depending on experience

• No notice period preferred, up to 1 month considered

• Hybrid working, 3 days per week in the London office

• Excellent benefits package included, bonus applicable only if role converts to permanent

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Data Analyst

London/Hybrid

£40,000-£45,000

Are you an eager and thorough Data analyst who likes to work in a dynamic data team? We are partnering with a fintech business who is looking to expand their data team and continue to work on impactful projects.

ROLES AND RESPONSIBILITIES:

The Data Analyst will:

-Maintain data pipelines for financial analytics

-Engage with internal stakeholders to ensure for quality of data

-Collaborate with other teams to work with large data sets including fintech operations

-Help with creation of data-driven models

-Have a hand in designing and implementing data visualisation tools and dashboards to provide insights

-Have an ear to the ground on industry trends and best practice in data analysis, fintech and credit risk management

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

-Experience in data manipulation, analysis and visualisation

-Strong skills in SQL, Python or R

-Experience with Power BI, Looker, Tableau or other data visualisation tools

-Bachelor’s degree in Data Science, Mathematics, Computer Science, Economics, Finance or other related fields

-Understanding of financial principles, especially in credit risk and fintech sectors is a plus

-Great problem solving skills and an eye for detail

-Willingness to learn and adapt in a fast paced and innovative environment

APPLY BELOW!

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This role sits at the heart of a leading UK financial services business, where analytics directly shapes strategy, influences decision‑making, and drives meaningful change.

You’ll take a lead role across high‑impact analytical initiatives, working closely with stakeholders to turn complex data into accessible, actionable insights.

Your day-to-day

• Lead on complex, business‑critical data analysis, extracting and manipulating large datasets to solve real commercial problems.
• Partner with cross‑functional teams and senior stakeholders to design intuitive data solutions, tools, and self‑service frameworks.
• Identify trends and opportunities across multiple data sources to generate insights that support business growth.
• Act as a subject matter expert within key analytical workstreams, becoming a trusted advisor across the organisation.
• Explore and adopt emerging technologies to continuously improve analytical capability and ways of working.

What you bring (core requirements)

• Strong experience in data analytics with advanced SQL skills.
• A solid understanding of data structures, data transformation, and analytical best practices.
• Proven ability to communicate complex insights clearly to non‑technical stakeholders.
• A structured, curious, and analytical mindset with strong problem‑solving skills.
• Confidence taking ownership of work, managing priorities, and delivering at pace.

Desirable skills (for the higher end of the salary range)

• Proficiency in an additional programming language such as Python or R.
• Experience leading analytical initiatives or acting as a subject matter expert within a domain.
• Exposure to building or enabling self‑service analytics solutions.
• Experience working in highly regulated or large‑scale data environments.

What’s on offer

• Salary range of £40,000-£55,000, depending on experience.
• Clear opportunities for learning, development, and career progression.
• Hybrid working from a Nottingham office (3 days per week).
• A competitive benefits package including bonus, pension, private medical insurance, and generous holiday allowance.

If this sounds like a role you’d enjoy, feel free to drop me a message to learn more.

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