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DIRECTOR OF ANALYTICS ENGINEERING

Remote (U.S.)

Up to $235,000 Base + Bonus + Benefits

The Opportunity

We’re partnering with a rapidly growing, technology-driven organization to hire a Director of Analytics who will lead analytics strategy, analytics engineering, and customer-facing data products.

This is not a traditional BI leadership role.

We’re looking for an engineering-minded analytics leader who has grown from a background in software engineering, data engineering, or analytics engineering and still enjoys being close to architecture, data modeling, platform strategy, and technical decision-making.

You’ll lead a talented team while helping shape the future of the company’s analytics, reporting, AI, and customer-facing data product strategy.

What Makes This Role Unique

• Own both internal analytics and customer-facing analytics products
• Lead a highly visible analytics organization with strong executive sponsorship
• Drive modernization across analytics architecture, self-service analytics, and AI-powered insights
• Influence product, engineering, and data strategy at the leadership level
• Opportunity to help define the future of analytics and AI within the organization

What You’ll Be Doing

• Own the analytics vision, roadmap, and long-term strategy
• Lead Analytics Engineering, Reporting, and Client Analytics teams
• Partner closely with Product, Engineering, AI, and Executive Leadership
• Drive adoption of scalable analytics architecture and engineering best practices
• Define and govern semantic layers, business metrics, and self-service analytics capabilities
• Scale customer-facing analytics products and embedded reporting experiences
• Guide AI-enabled analytics initiatives, conversational analytics, and modern decision-support products
• Mentor and develop a high-performing analytics organization

What We’re Looking For

Required Background

• 10+ years of experience in Software Engineering, Data Engineering, or Analytics Engineering
• 5+ years leading analytics, analytics engineering, or data engineering teams
• Strong experience owning analytics strategy and delivery in SaaS or B2B environments
• Proven success building and scaling analytics teams and data products

Technical Requirements

• Strong expertise with Snowflake architecture, optimization, governance, and data modeling
• Hands-on knowledge of Looker, including semantic layers, metric governance, LookML, and self-service analytics
• Deep SQL expertise and strong understanding of modern analytics engineering principles
• Experience with dimensional modeling, semantic modeling, dbt, and enterprise data architecture
• Ability to lead technical discussions with engineers, architects, and executive stakeholders

Preferred Experience

• Customer-facing analytics products, embedded analytics, or external reporting platforms
• AI-powered analytics, conversational analytics, LLMs, or GenAI initiatives
• Modern cloud data ecosystems including Snowflake, dbt, and cloud-native analytics platforms
• Experience supporting Product, Revenue, Customer Success, and Executive stakeholders

Why Join

• Lead a highly visible analytics function
• Drive analytics modernization and AI initiatives
• Own customer-facing and internal analytics products
• Partner directly with executive leadership
• Join a team investing heavily in analytics, data products, and AI
• Strong growth trajectory with long-term leadership opportunities

If you’re an engineering-first analytics leader who loves building modern analytics platforms, scaling teams, and driving business impact through Snowflake, Looker, and data products, we’d love to connect.

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To Apply for this Job Click Here

LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS

DALLAS, TX (HYBRID)

$140,000 – $150,000 BASE + ANNUAL BONUS

The Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science, predictive modeling, and risk analytics.

This is a highly visible leadership role where you’ll partner directly with executives and cross-functional stakeholders to influence key business decisions, improve customer outcomes, and drive measurable financial impact.

You’ll own projects from concept through implementation, applying machine learning, statistical modeling, and business insight to deliver solutions that make a real difference.

What You’ll Do

• Lead analytical initiatives from problem definition through implementation and measurement
• Develop predictive models to support business strategy, financial forecasting, and risk assessment initiatives
• Leverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insights
• Identify trends, quantify opportunities, and uncover root causes within large and complex datasets
• Collaborate with senior stakeholders to translate business challenges into analytical solutions
• Present findings and recommendations to leadership through compelling data storytelling and executive presentations
• Guide and mentor less experienced team members on project execution and analytical methodologies
• Build scalable processes and analytical frameworks that improve business performance over time

What We’re Looking For

• 8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics
• Experience applying statistical and machine learning techniques to real-world business problems
• Advanced Python and SQL skills with experience working across large, complex datasets
• Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis
• Proven track record of influencing business decisions through data-driven recommendations
• Excellent communication skills with the ability to explain complex concepts to executive audiences
• Experience leading initiatives independently with minimal direction
• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline

Nice to Have

• Master’s degree in a quantitative discipline
• Experience within financial services, consumer lending, real estate, healthcare, or other regulated industries
• Background in risk management, portfolio analytics, or credit-related modeling
• Exposure to model validation, governance, audit, or regulatory review processes
• Knowledge of cloud-based data environments including AWS and Snowflake
• Experience utilizing bureau data, scorecards, or advanced forecasting methodologies

Why This Role

• High-visibility role with regular interaction with executive leadership
• Opportunity to drive business outcomes through production-ready analytics and machine learning
• Strong autonomy and ownership over projects and strategy
• Work on initiatives with measurable multi-million-dollar business impact
• Mentor and influence without direct people-management responsibilities
• Collaborative, supportive culture that values innovation, curiosity, and continuous improvement
• Opportunity to see your models implemented and your work recognized across the organization

If you’re a data science leader who enjoys solving complex business problems, influencing executive decisions, and building predictive models that drive real-world results, we’d love to connect.

To Apply for this Job Click Here

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SENIOR AI PRODUCT ENGINEER – AGENTIC SYSTEMS & PRODUCTION AI

BAY AREA (HYBRID / 3 DAYS IN OFFICE)

$160,000 – $225,900 (SENIOR) | $225,000 – $250,000 (SENIOR II) + EQUITY

The Opportunity

Join a high-growth team building production, autonomous AI systems for enterprise use.

This isn’t experimental AI-you’ll create real agentic products that take action, drive outcomes, and automate complex workflows end-to-end.

You’ll operate in a 0→1 environment with full ownership, shaping product direction, system architecture, and customer experience.

What You’ll Do

• Build AI agents that act autonomously across real workflows
• Develop end-to-end systems across LLMs, APIs, orchestration, and applications
• Own the full lifecycle: prompting, evaluation, debugging, and scaling
• Turn ambiguous problems into structured, production-ready solutions
• Partner with product to deliver outcomes, not just features
• Help define shared AI platform architecture
• Continuously improve systems through testing and iteration

What We’re Looking For

• 4-8 years as a backend or full-stack engineer
• Experience shipping production AI or agent-based systems
• Strong TypeScript skills
• Hands-on experience with LLMs in real products
• Solid foundation in system design and distributed systems
• Experience evaluating and improving AI performance
• High ownership mindset in fast-moving environments
• Ability to clearly explain technical decisions and tradeoffs

Nice to Have

• RAG experience
• LangChain, LangGraph, Bedrock, or similar tools
• Startup or 0→1 product experience
• Agent workflows or orchestration systems
• LLMOps or AI infrastructure experience

Why This Role

• Build real AI products, not prototypes
• Work on systems that take action and deliver outcomes
• High ownership from idea → scale
• Fast-paced, high-impact environment
• Direct influence on AI strategy and architecture
• Strong team + meaningful equity

If you’re excited about building AI that actually does things-not just talks about them, this is a rare opportunity to shape the future of how enterprise systems operate.

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PRINCIPAL FULL STACK ENGINEER (FRONT END)

$250K-$350K (Includes Base & Bonus) + Equity

Hybrid – Bay Area (3 Days/Week)

The Opportunity

Join a product-focused technology company building AI-powered experiences for a large and engaged professional audience. This is a hands-on leadership role for engineers who enjoy owning products from concept to launch.

What You’ll Do

• Build polished, high-performance product experiences using React, TypeScript, and modern frontend technologies
• Develop backend APIs and services using Python, cloud-native architectures, and modern data platforms
• Create AI-powered features including intelligent search, recommendations, summarization, and conversational experiences
• Partner closely with Product and Design to transform complex workflows into intuitive user experiences
• Own features end-to-end, from architecture and implementation through launch and iteration

What They’re Looking For

• Strong expertise in React, TypeScript, JavaScript, and frontend architecture
• Solid Python backend experience building production APIs and services
• Experience integrating LLMs, AI capabilities, or intelligent workflows into customer-facing products
• Proven track record building scalable applications on AWS or similar cloud platforms
• Product-minded engineer with strong ownership, user empathy, and a builder mentality

Why This Role

• Build AI-powered experiences used by thousands of professionals every day
• Influence product direction, engineering culture, and technical architecture
• Work directly with Product, Design, AI, and Engineering leadership
• Own meaningful customer-facing features from idea to impact
• Join a collaborative environment with significant autonomy and responsibility

If you love building beautiful products, shipping quickly, and using AI to create entirely new user experiences, this role offers the opportunity to have an outsized impact. You’ll own features end-to-end while helping shape the future direction of a growing AI-powered platform.

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Junior Web Analyst

£30,000-£33,000 Manchester – Hybrid (2 days per week onsite)

I’m hiring a Junior Web Analyst to join a growing Data & Insights team within one of the UK’s largest education and professional training providers.

This is a fantastic opportunity for an early-career analyst who wants to develop their skills in GA4, SQL, CRO analytics, and digital insight, working across a large portfolio of websites that support apprenticeships, education, and professional training.

The role

You’ll join an established web analytics function and become the second dedicated hire in the team, supporting a growing number of websites and digital products.

This role sits within a wider Data & Insights team of around 10 people, working closely with stakeholders across marketing, digital, product, and web teams.

The focus is on understanding:

• How users interact with websites
• Where customers drop out of journeys
• What impacts conversion performance
• How digital experiences can be improved using data

This is an excellent opportunity for someone looking to build a long-term career in web analytics and digital optimisation.

What you’ll be doing

• Analyse website performance using GA4
• Investigate customer journeys and user behaviour
• Support CRO and optimisation initiatives
• Use data to identify opportunities for improving conversion rates
• Build reports and communicate findings to stakeholders
• Work with SQL and BigQuery datasets
• Support tagging and digital measurement activities
• Help drive data-led improvements across multiple websites

What they’re looking for

Ideal experience

• Around 1+ year of experience in:
  • Web Analytics
  • Digital Analytics
  • Marketing Analytics
  • CRO Analytics
• Hands-on experience with Google Analytics 4
• Basic SQL skills
• Strong communication skills
• Curiosity and enthusiasm for digital analytics

Nice to have

• BigQuery experience
• Exposure to Google Tag Manager
• Experience working with digital marketing or website data
• Commercial analytics experience
• A relevant degree with strong analytical exposure

Open to

They’re happy to consider:

• Junior Digital Analysts
• Web Analytics Executives
• Marketing Analysts
• Graduates with some commercial analytics experience
• SQL analysts with a genuine interest in web analytics

The most important thing is someone who is keen to learn, collaborative, and excited about developing their career.

Why join?

• Excellent first or second analytics role
• Join an established analytics and insight function
• Exposure to SQL, BigQuery, GA4, and CRO
• Supportive team who enjoy coaching and developing people
• Clear progression opportunities as the digital analytics function continues to grow
• Work on meaningful websites that help people access education and qualifications

Working pattern

Manchester

• 2 days per week in the office
• Wednesday is the core team day
• One additional day of your choosing
• One department-wide Tuesday per month

Interview process

15-minute intro conversation

1-hour face-to-face interview including:

• Data interrogation exercise
• Discussion around findings
• Team fit and motivations

Fast process with interviews available immediately.

If you’re looking for a role where you can develop your GA4, SQL, CRO, and web analytics skills in a supportive environment, this is a brilliant opportunity.

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To Apply for this Job Click Here

Senior / Staff Analytics Engineer
Location: Columbus, OH
Compensation: Up to $220K

About the Role

We’re hiring a Senior / Staff Analytics Engineer to join a high-performing team focused on building scalable data products, analytical systems, and performance frameworks that improve product visibility and operational decision-making across the business.

This role is ideal for someone who thrives in complex environments, enjoys building from the ground up, and can own analytical systems end-to-end – from modeling and transformation to workflow automation and performance optimization.

Depending on your strengths and business priorities, you may work across product analytics, operational performance, product quality initiatives, or customer experience insights.

This is a high-impact role where strong technical ownership and cross-functional influence are equally important.

What You’ll Do

Data Modeling & Analytics Infrastructure

• Design, build, and maintain scalable data models to support analytics, reporting, and business decision-making
• Develop data products that improve visibility into product performance, quality trends, and operational workflows
• Build and optimize transformation pipelines to improve data reliability, accessibility, and speed
• Partner with engineering teams to improve data quality, instrumentation, and data consistency across systems

Performance Analytics & Optimization

• Build analytical workflows that improve operational efficiency and product performance visibility
• Create frameworks for monitoring performance trends, surfacing optimization opportunities, and supporting strategic initiatives
• Support analytics use cases across connected systems and high-volume operational environments
• Improve the flow of data across platforms to enable faster insights and better decision-making at scale

Cross-Functional Partnership

• Work closely with Product, Engineering, Finance, and Operations teams to translate business needs into scalable analytical solutions
• Build trusted relationships with stakeholders and influence product and operational strategy through data-driven insights
• Help define analytical standards and improve best practices across teams

Technical Leadership

• Own analytical systems and data products with increasing autonomy and accountability
• Contribute to data architecture and analytics strategy across the organization
• Mentor peers and help raise the bar on analytics engineering best practices
• Balance short-term business priorities with long-term scalability and maintainability

What We’re Looking For

• Senior: 6+ years of experience in Analytics Engineering, Data Engineering, or related data-focused roles
• Staff: 8-10+ years of experience in highly technical, fast-moving environments
• Strong expertise in SQL and Python
• Deep understanding of data modeling principles, including dimensional and entity-based modeling
• Strong understanding of data systems, performance tradeoffs, and analytical architecture
• Experience building scalable data products and transformation pipelines
• Experience supporting product performance, operational analytics, or customer-facing product environments
• Strong stakeholder communication skills and ability to operate autonomously in ambiguous environments

Preferred Qualifications

• Experience working with modern analytics engineering tooling such as dbt
• Exposure to connected product ecosystems, event-driven systems, or high-volume data environments
• Experience working in product-driven, consumer technology, mobility, or hardware-adjacent environments
• Strong business acumen and ability to translate data into operational or strategic impact

Why Join?

This is an opportunity to work on high-value, product-driven challenges where analytics directly shape product quality, operational performance, and long-term growth. You’ll have significant ownership, strong visibility, and the ability to make measurable impact from day one.

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Manager of Data Engineering
Location: Miami, FL
Compensation: Up to $180K Base + Benefits

Build, Scale & Lead a High-Performing Data Engineering Team

A growing organization is looking for an experienced Manager of Data Engineering to help expand its data engineering capabilities and lead a talented team of engineers.

This is a hands-on leadership opportunity for someone who enjoys operating at the intersection of people, technology, and delivery. You’ll provide technical leadership, mentor engineers, influence architecture, and help establish the processes and standards needed to support a growing data environment.

You’ll have meaningful ownership over engineering delivery and the opportunity to make a direct impact on how data is built, managed, and used across the organization.

What You’ll Do

• Lead, mentor, and develop a team of Data Engineers while fostering a strong engineering culture.
• Manage the delivery of multiple data initiatives from planning through implementation.
• Influence data architecture, engineering standards, and development practices.
• Design and develop scalable data pipelines, transformations, and models.
• Improve the reliability, scalability, and performance of existing data infrastructure.
• Establish effective approaches to data testing, monitoring, validation, and quality.
• Partner with analytics, technology, operations, and business stakeholders to translate requirements into effective data solutions.
• Manage priorities, roadmaps, sprint planning, and backlog execution.
• Identify opportunities to improve automation, scalability, documentation, and engineering efficiency.
• Provide hands-on technical guidance and support the team in solving complex engineering challenges.

What We’re Looking For

• 8+ years of experience in Data Engineering, Data Platforms, Analytics Engineering, or a related technical discipline.
• 3+ years of experience leading or managing engineering teams.
• Proven experience building and scaling modern data platforms and pipelines.
• Strong hands-on experience with SQL and Python.
• Experience with modern ELT/ETL practices.
• Strong understanding of data modeling and data architecture.
• Experience implementing data testing, monitoring, and quality practices.
• Comfortable working in a hands-on leadership role with strong technical depth.
• Excellent communication, problem-solving, and stakeholder management skills.
• Experience within a high-growth technology or similarly complex environment is preferred.
• Bachelor’s degree in Computer Science, Engineering, Data, or a related field preferred.

Why This Role?

This is an opportunity to build and scale a Data Engineering team while remaining close to the technology.

You’ll have meaningful influence over technical decisions, engineering practices, and delivery while working alongside teams across the wider organization.

For an experienced Data Engineering leader who wants a combination of team leadership, technical ownership, and the opportunity to build, this is an excellent opportunity.

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