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DATA ENGINEER (MID-SENIOR)
MIAMI, FL | HYBRID
$150,000 – $170,000 BASE + BONUS

The Opportunity We’re partnering with a rapidly growing financial services organization that is modernizing and expanding its enterprise data platform. They’re looking for a Data Engineer who enjoys building scalable data solutions, improving data quality, and creating the infrastructure that powers analytics and business decision-making across the company. This is a hands-on role with strong ownership, visibility, and the opportunity to help shape the future of a growing data organization.
The Team’s Focus

• Building and scaling modern data platforms
• Creating reliable data pipelines and integrations
• Improving data quality, monitoring, and governance
• Supporting analytics, reporting, and business intelligence initiatives
• Leveraging cloud technologies to drive scalability and efficiency
• Establishing strong engineering standards and best practices

What You’ll Do

• Develop and maintain data pipelines that collect and process information from multiple sources
• Design data models that enable reporting, analytics, and operational insights
• Enhance a cloud-based data platform to improve performance, reliability, and scalability
• Build solutions using Python, SQL, and dbt
• Support and optimize Azure-based data infrastructure
• Lead data engineering initiatives from design through deployment
• Implement processes for data quality, monitoring, and operational excellence
  • Identify and drive improvements across existing data systems
  • Partner with analytics teams, engineers, and business stakeholders to deliver impactful solutions
  • Help define platform architecture and long-term data strategy

  What We’re Looking For

  • 3-8 years of Data Engineering experience
  • Strong experience with Python and SQL
  • Experience building and supporting ETL/data pipeline solutions
  • Hands-on experience with dbt and modern data transformation practices
  • Experience working with Azure or other cloud-based data environments
  • Understanding of data modeling, data warehousing, and platform architecture
  • Experience supporting production data environments and troubleshooting issues
  • Ability to work independently and take full ownership of projects
  • Strong communication and stakeholder management skills
  • Degree in Computer Science, Mathematics, Statistics, or a related technical field preferred

  Why Consider This Opportunity?

  • Own high-impact projects from end to end
  • Help build and evolve a modern enterprise data platform
  • Work across data engineering, cloud infrastructure, and analytics
  • Gain exposure to both business and technical stakeholders
  • Join a growing organization investing heavily in its data capabilities
  • Clear opportunities for career growth and increased responsibility
  • Competitive compensation, bonus, and benefits package

  This opportunity is ideal for a Data Engineer who enjoys solving complex data challenges, building scalable platforms, and making a measurable impact on how an organization uses data. The ideal candidate brings strong Python, SQL, and dbt expertise and thrives in a collaborative, high-growth environment.

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Senior Data Engineer

Location: Austin, TX or Miami, FL (Hybrid 4 Days/Week Onsite)
Compensation: Up to $170,000 Base Salary

About the Role

We’re partnering with a rapidly growing financial services organization seeking a Senior Data Engineer to help build and scale a modern enterprise data platform.

This is a highly visible, hands-on role focused on developing data pipelines, data models, and cloud-based data infrastructure that power analytics and business decision-making across the organization.

Please note: Candidates must be located in or willing to relocate to Austin, TX or Miami, FL and work onsite 4 days per week. This requirement is non-negotiable.

Responsibilities

• Design and build scalable data pipelines and ingestion frameworks
• Develop and optimize data models for analytics and reporting
• Build and enhance cloud-based data platform capabilities within Azure
• Develop solutions using Python, SQL, and dbt
• Improve data quality, monitoring, reliability, and operational processes
• Partner with analytics, engineering, and business teams to deliver data solutions
• Own projects from design through deployment and support

Requirements

• 5+ years of Data Engineering experience
• Strong hands-on expertise with Python, SQL, and dbt
• Experience building and maintaining production data pipelines
• Azure cloud experience
• Strong understanding of data modeling and data architecture
• Ability to work independently and take ownership of complex initiatives
• Excellent communication and stakeholder management skills

Why Join?

• High-impact, high-visibility role
• Opportunity to shape a growing modern data platform
• Strong ownership and architectural influence
• Career growth within a rapidly expanding organization

Location Requirement: This position requires employees to be onsite 4 days per week in Austin, TX or Miami, FL. Candidates who are not local or unable to meet the onsite expectation will not be considered.

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Director, GTM

Remote (U.S.) | EST/CST Preferred
Up to $230,000 Base + $20,000 Bonus + Equity
U.S. Citizen or Green Card Holder Required

Shape the Future of Revenue Growth Through Data

We’re partnering with a high-growth technology organization seeking a Director of Revenue Analytics & Data Science to lead the strategy, execution, and evolution of its Go-To-Market data function.

This is an opportunity for a leader who enjoys sitting at the intersection of business strategy, advanced analytics, and people leadership. You’ll work directly with executives across Sales, Marketing, Customer Success, Finance, and Revenue Operations to help drive customer acquisition, retention, and overall revenue performance through data-driven decision making.

If you enjoy building high-performing teams, influencing company strategy, and leveraging analytics to solve complex business challenges, we’d love to connect.

What You’ll Own

Revenue & GTM Strategy

• Lead the vision and roadmap for analytics supporting the entire revenue organization.
• Partner with executive stakeholders to identify growth opportunities and improve business performance.
• Define and govern key business metrics including customer acquisition, retention, conversion, funnel performance, pipeline health, and customer lifetime value.
• Deliver actionable insights that directly influence strategic decisions and revenue outcomes.

Data Science & Advanced Analytics

• Guide the development and implementation of predictive models across lead scoring, customer lifetime value, marketing effectiveness, and sales prioritization.
• Champion experimentation and measurement frameworks to improve conversion rates, customer acquisition, and retention.
• Drive adoption of AI-powered tools and analytics capabilities across the organization.
• Establish analytical best practices and ensure high standards for statistical rigor and business impact.

Leadership & Team Development

• Lead and mentor a team of Data Scientists and Analytics professionals.
• Develop a culture centered around curiosity, accountability, and business partnership.
• Provide coaching on analytics strategy, data science methodologies, SQL, Python, and stakeholder engagement.
• Serve as a trusted advisor to senior leadership and cross-functional teams.

What We’re Looking For

Required Experience

• 7+ years of experience in Data Science, Revenue Analytics, Marketing Analytics, Business Analytics, or related disciplines.
• 3+ years of experience leading analytics or data science teams.
• Strong experience supporting Go-To-Market functions including Sales, Marketing, Customer Success, and Revenue Operations.
• Demonstrated success influencing business decisions through data and analytics.

Technical Skills

• Strong SQL expertise and experience working with Python-based analytics environments.
• Background in machine learning, predictive modeling, experimentation, and statistical analysis.
• Experience working with modern cloud data platforms such as Snowflake, Databricks, dbt, Airflow, or similar technologies.
• Understanding of SaaS business models, subscription metrics, and revenue operations.

Leadership Traits

• Strategic thinker with strong business acumen.
• Comfortable operating in fast-paced and evolving environments.
• Exceptional communication and stakeholder management skills.
• Ability to balance executive-level strategy with hands-on analytical leadership.

Why This Opportunity Stands Out

• Fully remote position within the U.S.
• Direct exposure to executive leadership and strategic decision making.
• Opportunity to own and shape enterprise-wide revenue analytics initiatives.
• Significant influence on company growth and GTM strategy.
• Competitive compensation package including equity participation.
• High-growth environment with strong leadership support and visibility.

Compensation: Up to $230,000 base salary + $20,000 annual bonus + equity
Location: 100% Remote within the United States
Schedule: Must work East Coast business hours
Work Authorization: U.S. Citizen or Green Card Holder required

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Customer Selections Analyst

Up to £50,000

Stratford-Upon-Avon (1 day a week in office)

This is an excellent opportunity for a Customer Selections and Analytics Consultant to combine technical expertise with commercial impact. You will play a key role in delivering customer targeting, campaign analysis, and actionable insights that influence marketing and customer engagement strategies.

THE COMPANY

They are a well-established organisation with a strong focus on customer engagement, data-driven decision making, and continuous improvement. Their analytics function works closely with a range of stakeholders to ensure customer communications are effective, compliant, and measurable. You will join a collaborative team where your expertise will directly contribute to business performance and strategic decision making.

THE ROLE

As a Customer Selections Analyst, you will join a data-driven team using SQL and analytics to deliver customer targeting, campaign insights, and measurable business impact.

Specifically, you can expect to be involved in the following:

• Developing and delivering customer selections using SQL, ensuring campaigns target the right audiences and meet business objectives.
• Analysing campaign performance and developing self-service dashboards to provide clear, actionable insights.
• Developing subject matter expertise across customer datasets, supporting data sourcing, analysis, and reporting activities.
• Partnering with stakeholders to understand requirements and deliver consultative, data-driven solutions.
• Presenting insights, recommendations, and findings to both technical and non-technical audiences.
• Supporting quality assurance processes, ensuring outputs are accurate, compliant, and aligned with best practices.
• Working closely with analytics and optimisation teams to continuously improve customer targeting and campaign effectiveness.

SKILLS AND EXPERIENCE

The successful Customer Selections Analyst will have the following skills and experience:

• Strong commercial experience using SQL for data extraction, manipulation, and analysis.
• Experience with data visualisation tools, ideally Power BI or similar platforms.
• Experience delivering analytics within a customer, marketing, or campaign-focused environment.
• Ability to engage and influence a wide range of stakeholders.
• Strong analytical and problem-solving skills, with the ability to generate actionable business insights.
• Excellent communication skills, with the ability to present findings to both technical and non-technical audiences.
• Experience working in a regulated or compliance-focused environment would be advantageous.

BENEFITS

The successful Customer Selections Analyst will receive the following benefits:

• Salary up to £50,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Data Analyst

Fully remote

£50,000 – £55,000

Looking for a role where you can combine finance, data analytics, and business insight in a fast-growing organisation? This is an opportunity to take ownership of reporting, forecasting, and data management while working with large datasets that directly influence commercial and operational decision-making. You’ll join a collaborative team where your work will have visible impact from day one.

The Company

This organisation delivers specialist services to large public sector clients across the UK. They operate in a highly data-driven environment, managing complex contracts, performance metrics, and operational reporting across multiple service lines.

With continued growth and increasing demand for data-led decision making, they are investing in their finance and analytics capability. This role offers the chance to work closely with senior stakeholders while helping to improve processes, reporting, and data quality across the business.

The Role

As a Data Analyst, you will sit within the finance function, reporting directly to senior leadership and playing a key role in reporting, forecasting, and data reconciliation.

Key responsibilities include:

• Owning and developing finance and operational reporting
• Supporting forecasting, planning, and cashflow modelling activities
• Maintaining and enhancing complex Excel-based financial models
• Reconciling data across multiple systems, including Xero, SQL, and Power BI
• Uploading, validating, and managing finance and operational datasets
• Producing reporting for senior leadership on financial performance, operational activity, and key business metrics
• Analysing large datasets to identify trends, anomalies, and areas for improvement
• Investigating and resolving data discrepancies across systems
• Building new reports and improving existing reporting processes
• Working closely with finance, operational, and technology teams to ensure data accuracy and integrity

Your Skills & Experience

• Strong commercial experience in a Data Analyst, Finance Analyst, Management Accountant, or similar role
• Advanced Excel skills, including financial modelling and complex data analysis
• Practical experience using SQL to query and validate data
• Experience building, maintaining, or enhancing Power BI reports and dashboards
• Strong understanding of accounting principles and financial reporting
• Experience working with large, complex datasets and reconciliations
• Ability to identify data quality issues and implement solutions
• Strong stakeholder management and communication skills
• Comfortable working in a hands-on environment where attention to detail is essential

What They Offer

• Salary of £50,000 – £55,000
• Opportunity to work directly with senior finance leadership
• High level of ownership and visibility across the business
• Exposure to both finance and data analytics projects
• Collaborative and supportive working environment
• The chance to shape reporting processes and improve data maturity across the organisation
• Clear opportunities to develop your technical and commercial skills as the business continues to grow

How to Apply

If you’re a Data Analyst with strong finance expertise, Excel capability, and experience working with SQL and Power BI, we’d love to hear from you. Apply now to discuss this opportunity in more detail.

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Customer Selections & Analytics Consultant
Stratford-upon-Avon | £45,000 to £50,000 + 17.5% Bonus | 12 Month FTC
This is a fantastic opportunity for a Customer Selections & Analytics Consultant to join a growing data function where customer targeting, campaign optimisation, and analytics play a critical role in business decision-making. You’ll have the chance to work across a variety of customer data projects while developing expertise in customer selections, campaign performance, and stakeholder engagement.

The Company
They are a well-established organisation with a strong focus on customer experience and data-driven decision making. The business continues to invest in its analytics capabilities, creating opportunities for data professionals to make a tangible impact across marketing and customer engagement initiatives.
You’ll join a collaborative team that works closely with a wide range of stakeholders, helping to improve campaign effectiveness through accurate targeting, insightful analysis, and robust reporting.

The Role
As a Customer Selections & Analytics Consultant, you will be responsible for delivering customer selections and providing insight into campaign performance.
Key responsibilities include:

• Building and delivering customer selections using SQL
• Translating campaign briefs into technical requirements and data solutions
• Working across multiple customer datasets to identify and target the right audiences
• Developing and maintaining campaign performance dashboards
• Analysing campaign results and test-and-learn activity to improve ROI
• Providing actionable insight to support customer targeting strategies
• Working closely with stakeholders to understand requirements and deliver business value
• Presenting data findings and recommendations to both technical and non-technical audiences
• Supporting data quality and quality assurance processes
• Collaborating with analytics teams to continually refine targeting approaches

Your Skills & Experience

• Strong commercial SQL experience
• Experience in customer selections, audience selections, campaign analytics, CRM analytics, or customer data environments
• Experience working with large and complex datasets
• Data visualisation experience, ideally using Power BI
• Strong stakeholder management and communication skills
• Ability to translate technical findings into clear business recommendations
• Experience delivering insight to support strategic decision-making
• Strong attention to detail and focus on data quality
• Experience within a regulated environment is beneficial but not essential

What They Offer

• £45,000 to £50,000 base salary
• 17.5% annual bonus, paid pro rata
• Hybrid working with one day per week in the Stratford-upon-Avon office
• Exposure to a wide range of customer analytics and campaign optimisation projects
• Opportunity to develop expertise in customer selections and marketing analytics
• Potential for further opportunities beyond the initial fixed-term contract

How to Apply
If you have strong SQL skills and experience in customer selections, audience targeting, or campaign analytics, please apply with your CV for immediate consideration.

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Lead Analyst – 12-month FTC
London – Hybrid, 2 days per week
Up to £85,000

This is an opportunity to join a growing, data-driven business where pricing sits at the heart of commercial strategy. You’ll work across pricing, experimentation, forecasting and revenue optimisation, helping shape decisions that drive sustainable growth across international markets.

The Company
They are an established eCommerce and marketplace business operating at global scale, combining technology, analytics and commercial insight to support continued growth. With a large international workforce and operations across multiple regions, they are investing heavily in their digital capabilities and customer proposition.

Their analytics function plays a critical role in decision-making, partnering with commercial, product, engineering and finance teams to deliver measurable business impact. As they continue to evolve their pricing and revenue strategy, they are looking for a commercially minded Pricing Analyst to join the team.

The Role
You will work closely with commercial and analytics stakeholders to optimise pricing decisions and drive long-term revenue growth.

Key responsibilities include:

• Evaluate pricing strategies and their impact on revenue, customer behaviour and long-term value.
• Analyse pricing performance and provide recommendations to support business growth.
• Design, execute and evaluate A/B tests and promotional activity.
• Build analytical frameworks to measure performance and identify commercial opportunities.
• Support forecasting, revenue planning and business performance modelling.
• Work with large-scale datasets to uncover trends and actionable insights.
• Partner with Data Science teams on pricing elasticity, demand forecasting and revenue optimisation initiatives.
• Collaborate with Data Engineering, Product, Platform and Finance teams to deliver data-led solutions.
• Translate complex analysis into clear business recommendations for senior stakeholders.
• Support both UK and US markets, considering differing commercial dynamics and customer behaviours.

Your Skills & Experience

• Strong SQL skills with the ability to write and troubleshoot code from scratch.
• Experience working with large, complex datasets.
• Strong commercial analytics experience within an eCommerce, marketplace or similar data-rich environment.
• Experience measuring and analysing experiments, including A/B testing.
• Excellent stakeholder management and communication skills.
• Ability to translate analytical findings into practical commercial recommendations.
• Exposure to forecasting, pricing analytics, customer value analysis or revenue optimisation.
• Python experience is beneficial but not essential.
• Experience building models or analytical frameworks would be advantageous.

What They Offer

• Exposure to complex pricing and commercial challenges at scale.
• Opportunity to work across international markets.
• High visibility role with direct impact on growth and revenue strategy.
• Collaborative environment working alongside Analytics, Data Science, Product and Commercial teams.
• Strong opportunities for professional development and progression.

How to Apply
If you’re interested in using analytics, pricing and experimentation to influence strategic business decisions, apply today to learn more about this opportunity.

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Senior Analyst – Sports Media Rights
London (Hybrid, 3 days per week)
Up to £50,000

Join a growing research and analytics team at the forefront of the global sports media landscape. This is an opportunity to combine market research, commercial analysis, and data-driven insight to help shape understanding of sports media rights across international markets while working with leading organisations in sports, media, and entertainment.

The Company
They are a fast-growing research, data, and analytics business with a strong presence across the media, entertainment, gaming, and sports sectors. Their work helps clients understand market trends, consumer behaviour, commercial opportunities, and industry developments through a combination of proprietary data and expert insight. They foster a collaborative, entrepreneurial environment where individuals are encouraged to take ownership, develop new skills, and contribute to innovative products and research.

The Role
You will play a key role in developing and enhancing a sports media rights data product, supporting both syndicated research and bespoke client projects.

Responsibilities include:

• Tracking and analysing sports media rights deals across global markets.
• Maintaining and developing databases covering rights agreements and associated market data.
• Supporting the valuation of media rights contracts using proprietary modelling approaches.
• Producing client-facing reports, research notes, and analytical content.
• Identifying market trends and translating complex data into actionable insights.
• Supporting dashboard development and self-service data products.
• Researching how rights are packaged, distributed, and monetised across different sports and competitions.
• Contributing to thought leadership and industry analysis.
• Collaborating with commercial teams to support client conversations and product development initiatives.

Your Skills & Experience

• Strong commercial experience within sports media rights, sports research, strategy, analytics or consulting.
• Advanced Excel skills with experience in analysis, reporting, and financial or commercial modelling.
• Strong analytical capability with excellent attention to detail and confidence identifying trends and patterns.
• Ability to communicate complex information clearly through written reports and stakeholder discussions.
• Passion for the sports industry and an interest in developing deep sector expertise.
• Experience using PowerPoint and other Microsoft Office tools.
• Exposure to SQL, Python, or other analytical tools would be advantageous but is not essential.

What They Offer

• Opportunity to work with globally recognised organisations across sports, media, and entertainment.
• Exposure to international markets and high-profile industry developments.
• Ongoing learning and development in research, analytics, data modelling, and industry intelligence.
• Collaborative and supportive culture with clear opportunities for professional growth.
• Additional benefits package including pension, private medical cover, and team-focused initiatives.

How to Apply
If you have a strong background in sports media rights and enjoy turning data into commercial insight, apply today to discuss this opportunity in confidence.

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