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Staff Data Analyst, Product Analytics

Location: Remote

Salary: $200-250k

Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.

About the Role

The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.

Key Responsibilities

• Develop and implement key business metrics to measure performance and identify opportunities.
• Create dynamic visualizations and automate reporting workflows to support decision-making.
• Build and enhance analytics datasets to optimize growth strategies and reduce costs.
• Collaborate with product, business, and leadership teams to deliver data-driven solutions.
• Prototype dashboards and data tools to improve workflows and promote best practices.
• Support data accessibility by maintaining analytical technologies that ensure timely access to data.
• Shape the analytics roadmap, aligning data initiatives with organizational goals.

About You

• 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
• Proficient in SQL and experienced in working with complex datasets.
• Familiarity with Python or R and applied statistics.
• Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
• Strong communication skills with the ability to translate data into actionable insights.
• Adept at collaborating in a fast-paced, cross-functional environment.

This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Staff Analytics Engineer

Location: Remote (US Only)

Salary: $200-235k base + Equity

Are you passionate about using data to shape impactful learning experiences? Join a leading ed-tech company on a mission to provide an education kids love.

As a Staff Analytics Engineer on their Data Science & Analytics team, you’ll play a pivotal role in making data accessible, accurate, and actionable across the company. Partnering closely with product and engineering teams, you’ll play a key role in driving their data architecture forward, enabling scalable data solutions that support product development, growth, and decision-making.

What You’ll Do:

• Data Architecture & Modeling: Design and manage large-scale data warehouses and marts, creating clean, accessible fact and dimension tables to drive insights.
• Data Transformation: Build and optimize data transformation pipelines using tools like dbt, supporting data flow from ingestion through analytics.
• Collaboration: Partner effectively with engineers, data scientists, and stakeholders, driving data projects that align with team roadmaps and impact the business.
• Governance & Quality: Champion data governance principles and quality standards, ensuring data lineage, documentation, and metadata are maintained.
• SQL & Query Optimization: Create efficient, performant SQL queries, leveraging your expertise in window functions, data partitioning, and clustering.

About You:

• 7+ years of experience in data and analytics engineering
• Expertise in SQL and schema design (e.g., Snowflake, Data Vault) with experience in data cataloging and governance tools
• Skilled in SQL frameworks like dbt and orchestration tools like Airflow
• Experienced with data transformation and ETL best practices
• Strong collaborator, capable of driving projects from ideation through implementation

Why Join?

• Mission-Driven Work: Contribute to transforming education for millions of students worldwide.
• Product Impact: Play a central role in product innovation, making data accessible and actionable for meaningful change.
• Culture of Excellence: Work with a team that includes talent from top tech companies, in an environment that prioritizes growth, collaboration, and purpose.

Apply today to join a team where your expertise in analytics engineering can make a world of difference.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data Science – Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $250-280k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

• Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

• 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Industry experience in B2B SaaS or travel is a strong plus.
• Bachelor’s degree in a technical field required; Master’s or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Finance Data Analyst

Location: San Francisco, CA (US Remote Eligible)
Compensation: $180-240k base + equity

Are you ready to drive high-impact decisions at the intersection of finance and data? Join a rapidly growing Series E company at the cutting edge of AI-powered web development, and help shape the future of technology innovation.

We’re looking for a Staff Finance Data Analyst to take charge of financial analytics initiatives, bridging the gap between Finance and Data teams. In this role, you’ll be instrumental in creating trusted financial models, designing impactful forecasts, and delivering strategic insights that will guide key business decisions and fuel our continued growth.

What You’ll Do:

• Model Usage-Based Economics: Build and maintain dbt models in Snowflake, transforming raw product telemetry into clear financial views (ARR, margin, unit economics).
• Forecast & Scenario Analysis: Use Python-driven Monte Carlo and statistical models to forecast revenue, costs, and gross margin under multiple scenarios.
• Lead Variance & Root-Cause Analysis: Dive deep into revenue, COGS, and operating expenses, explaining plan vs. actual variances and identifying key business drivers.
• Simulate Pricing & Packaging Changes: Collaborate with Product Monetization to model the impact of new pricing tiers, overage bands, and feature gates.
• Automate Financial Reporting: Develop self-serve dashboards (e.g., Hex, Mode, Looker) trusted by Finance, ELT, and Board stakeholders during the month-end close.
• Enhance Data Quality: Define and implement data-quality SLAs, ensuring that all revenue and cost metrics are fully auditable.
• Mentor & Guide: Provide best-practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling for analysts and engineers.

What We’re Looking For:

• Experience: 7+ years in analytics or data science roles, with a focus on finance (experience with SaaS or usage-based business models preferred).
• Technical Expertise: Hands-on experience with dbt (production models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management).
• Advanced Skills: Strong proficiency in SQL and Python (pandas, scipy/statsmodels, Prophet) for forecasting, scenario modeling, and statistical analysis.
• Business Intelligence Tools: Experience with BI tools such as Looker, Hex, Mode, Tableau.
• Financial Acumen: Deep understanding of SaaS/cloud economics including MRR/ARR, COGS allocation, gross margin, LTV/CAC, churn, and cohort retention.
• Experience in Usage-Based Pricing: Proven track record in building usage-based pricing models and forecasting frameworks from raw event data.
• Strong Communicator: Ability to convey complex data insights to executive audiences and collaborate effectively with engineers.
• Educational Background: Bachelor’s or Master’s in Finance, Economics, Statistics, Data Science, or a related field.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR INSIGHT ANALYST

UP TO £80,000

WIMBLEDON – 4X WEEK

We’re working with a well-known fashion retailer looking for a commercially minded Senior Insight Analyst to join their growing data team. This is a high impact role, sitting across marketing, digital, and trading, where you’ll be driving key strategic decisions through data. You’ll be analysing customer and product data, helping to shape brand and marketing strategy, and influencing senior leadership with your insight. It’s a fantastic opportunity for someone with strong retail or consumer experience who loves turning data into real business outcomes.

THE ROLE:

As Senior Insight Analyst, you will:

• Lead on customer and product insight projects that support key areas of the business including digital, trading, and brand.
• Deliver regular reporting, deep dives, and ad-hoc insight to shape business performance.
• Be the go-to person for all things customer behaviour, segmentation, retention, and LTV.
• Support analytics on campaign performance, digital attribution, and conversion rate optimisation.
• Help maintain and improve dashboards and encourage data-driven decision-making across teams.

YOUR SKILLS & EXPERIENCE:

• Minimum 4 years’ experience in a marketing or customer analytics role, ideally in retail or fashion.
• Strong commercial awareness and ability to work cross-functionally with non-technical teams.
• Hands-on experience with SQL (BigQuery ideally), plus Looker Studio or similar BI tools.
• Confident communicator, comfortable presenting to senior stakeholders and influencing decisions.
• Experience with tools like Fospha, ContentSquare, or Google Analytics is a bonus.
• Comfortable working in a fast-paced environment where you’ll own and shape your roadmap.

BENEFITS:

• Salary up to £80,000 dependent on experience
• Employee discount and benefits package
• High-growth business with clear development path

NB: Please do not apply unless you are happy to work in the Wimbledon office 4x week.

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