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Director of Analytics
Salary: $185,000-$200,000 base + Bonus
Location: Greater Boston

The Opportunity

Harnham is partnered with a leading consumer-facing organization to hire a Director of Analytics. This high-impact leadership role will be responsible for defining and leading the company’s enterprise analytics function. The successful candidate will play a key role in shaping data strategy, driving performance optimization, and embedding a culture of insight-led decision-making across the business.

You will oversee a small team and work closely with leaders in Consumer Insights, Operations, and Marketing/Member Insights to deliver measurable outcomes. This is not a data science position; rather, we are looking for an analytics strategist with strong business acumen, exceptional communication skills, and proven experience leading enterprise-wide analytics initiatives.

Key Responsibilities

• Lead and mentor a team of two analysts, overseeing the delivery of business-critical insights.
• Design and implement enterprise analytics strategies to support growth, efficiency, and cost optimization.
• Build and maintain dashboards, reporting frameworks, and KPIs in platforms such as Power BI and Tableau.
• Partner cross-functionally with senior leaders in Marketing, Operations, and Consumer Insights to integrate analytics into decision-making processes.
• Translate complex data into actionable recommendations that drive performance and inform strategic priorities.
• Utilize Google Analytics and other digital performance tools to enhance channel and customer insights.
• Establish enterprise-level reporting standards and measurement frameworks.
• Present findings and influence at the executive level with clear, concise storytelling.

Candidate Profile

• 10+ years of progressive experience in enterprise analytics or business intelligence.
• Proven track record of leading high-impact analytics initiatives with measurable business results.
• Deep expertise with tools such as Power BI, Tableau, SQL, Python or R.
• Strong experience with web and digital analytics platforms, especially Google Analytics.
• Exceptional ability to simplify and communicate complex insights to senior stakeholders.
• Demonstrated success in managing small teams and fostering high-performance cultures.
• Strategic thinker with strong executional ability and a results-driven mindset.
• Experience working cross-functionally in matrixed, fast-paced environments.

To learn more or apply confidentially, please reach out directly to Oisin Ennis

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Director of Product Management
Tech Startup | High-Growth Environment
Hybrid – Chicago, IL (3 days/week in office)
Salary: $170,000-$200,000 base + 15% bonus

Overview:

Harnham is partnering with a fast-paced technology startup that’s redefining how customers engage with digital products through data, speed, and innovation. With a team-oriented culture and strong executive backing, they are scaling rapidly and looking for strategic product leaders to help shape their platform’s future.

As the team grows, they are hiring a Director of Product Management to take ownership of a key product domain while leading a small, agile team.

The Role:

This is a hybrid strategic and hands-on role, reporting directly to the executive team. You’ll manage two product managers while working closely with engineering and analytics to drive daily product decisions, iterative releases, and long-term roadmapping in a highly dynamic environment.

Key Responsibilities:

• Lead and coach a small team of product managers (1 lead, 1 junior)

• Own end-to-end product development cycles, with rapid and frequent releases

• Define and evolve the product roadmap in alignment with business goals

• Collaborate across engineering, analytics, and leadership to bring features to life

• Operate flexibly in a fast-moving environment where priorities can shift daily

• Leverage data to drive decisions (SQL and visualization tools experience is a plus)

Your Skills and Experience:

Required:

• 2+ years of experience leading product managers or cross-functional teams

• Track record of success in a high-growth, startup, or fast-changing environment

• Strong communication and collaboration skills, especially with technical teams

• Ability to adapt quickly and lead in ambiguity

Preferred:

• Background working in regulated or complex industries

• Experience with SQL or product analytics tools (e.g., Tableau, Looker)

• A hands-on mindset with the ability to shift between strategy and execution

How to Apply:

If you’re a driven product leader ready to own major initiatives and grow with a mission-driven team, apply now! For more details, reach out to Gabriella Ferrara.

To Apply for this Job Click Here

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Director of Product – Financial Services | Chicago (Hybrid)
Salary: $170,000 – $200,000 + bonus + equity
Hybrid | 3 days/week onsite | High-growth environment

A rapidly scaling financial services company is seeking an experienced Director of Product to lead their product function. Focused on delivering customer-first digital solutions, the business is modernising how core financial offerings are built, delivered, and optimised through data and experimentation.

The Role
Reporting into the executive leadership team, this is a strategic role with ownership over the entire product lifecycle. You’ll lead a team of Product Managers and collaborate across technical and operational functions to shape the roadmap and drive growth through product innovation.

Key Responsibilities

• Develop and execute a forward-looking product roadmap aligned with business goals

• Lead cross-functional initiatives in partnership with engineering, operations, and commercial teams

• Implement product development processes that encourage speed, agility, and accountability

• Use customer insights, data analysis, and market intelligence to inform decision-making

• Drive experimentation through A/B testing and iterative design

• Ensure all product activities meet regulatory and compliance standards

Ideal Candidate

• 7+ years of product management experience, with at least 2 years in a leadership role

• Background in financial services, lending, or payments is strongly preferred

• Experience working in fast-paced, high-growth environments

• Strong technical and analytical foundation; SQL proficiency is a plus

• Effective communicator with experience influencing senior stakeholders

• Outcome-driven mindset and strong execution ability

Compensation & Benefits

• Base salary between $170,000 – $200,000

• Annual bonus + equity opportunities

• Full healthcare benefits (medical, dental, vision)

• 401(k) with immediate vesting

• Flexible PTO policy and merit-based progression

Location
Chicago-based with hybrid flexibility (3 days/week in office)

This is an opportunity to join a forward-thinking financial services firm in a leadership capacity, with meaningful ownership over product strategy and delivery.

To Apply for this Job Click Here

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Senior Manager, Data & Analytics – DTC

Location: US Remote Eligible (travel required)

Salary:$180-220K base + bonus + equity

The Opportunity

A high-growth, vertically integrated DTC brand is hiring its first Senior Manager of Data & Analytics to architect and lead the company’s data strategy from the ground up. Following a period of explosive, triple-digit revenue growth and with full control over manufacturing, fulfillment, and customer experience, the company is now ready to make data a foundational pillar of scale.

Reporting directly to the CEO, you’ll step into a pivotal, hands-on leadership role-owning everything from data architecture and infrastructure to analytics strategy, roadmap execution, and team development. You’ll build the systems and insights that power smarter decisions across marketing, supply chain, logistics, and digital experience.

This is a rare opportunity to take a blank slate and build a high-impact data function with executive backing, tangible influence, and end-to-end ownership.

What You’ll Do

• Own and execute the data vision: Evaluate the current state, define the roadmap, and implement scalable data infrastructure (Postgres, dbt, Fivetran, Omni).
• Lead from the front: Operate as a player-coach-balancing individual technical contribution with people leadership and cross-functional influence.
• Build and scale a high-impact team: Recruit and mentor data engineers, analysts, and data scientists as the function grows from 1-2 to 6-8 over time.
• Drive actionable insights: Deliver dashboards, models, and analytics that unlock better outcomes across the customer lifecycle, supply chain, and financial ops.
• Set the bar for excellence: Establish best practices in KPI design, instrumentation, experimentation, data governance, and measurement strategy.
• Collaborate cross-functionally: Partner with senior leaders across Product, Marketing, Ops, and Engineering to ensure data becomes a competitive edge.

Use Cases You’ll Own

• Multi-touch attribution, CAC optimization, and customer segmentation
• LTV and churn modeling for better retention and personalization
• Demand forecasting to optimize production and reduce inventory risk
• Factory analytics to track throughput, cycle times, and downtime
• Logistics and fulfillment insights to improve delivery efficiency
• Customer journey analysis to enhance conversion and engagement
• Product feedback loops using return rates, support tickets, and reviews

What We’re Looking For

• 7-10+ years of experience in data, analytics, or BI roles, with a track record of leadership-preferably in high-growth DTC, ecommerce, or consumer product environments.
• Proven success building a data function from the ground up-including architecture, tooling, team structure, and process implementation.
• Strong technical proficiency in SQL and Python, with a hands-on ability to build pipelines, deliver insights, and support scalable analytics solutions.
• Fluency with the modern data stack, including platforms such as dbt, Fivetran, Omni, or comparable tools.
• Thrives in fast-moving, ambiguous settings, with a bias for action and comfort making decisions without perfect information.
• Demonstrated leadership and mentorship experience, including hiring, coaching, and managing performance for technical talent.
• Willingness to travel regularly to the company’s HQ during onboarding (first 4-6 months) and periodically thereafter as needed.

Why This Role

• Greenfield Ownership: Build the function the right way-from tools and models to team and roadmap.
• Executive Visibility: Direct line to the CEO and meaningful influence on company direction.
• High-Growth Environment: Be part of a company scaling fast with clear demand for data maturity.
• Purpose-Driven Culture: Join a team passionate about product, performance, and customer happiness.

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Sr. Manager Strategic Analytics

Retail

Location: Hybrid – Virginia

Salary: $140,000 – $160,000 + Bonus & RSU Eligible

Harnham is seeking an experienced Sr. Manager Strategic Analytics for a leading organization in the omnichannel retail sector. This role offers an exciting opportunity to shape and implement omni-channel digital transformation strategies, enhancing both customer and associate experiences within a dynamic enterprise.​

Key Responsibilities

• Lead and develop a team of strategy analysts to set the vision and direction of the Sales organization.​
• Collaborate with operations and product/technology partners to create a data-backed departmental roadmap.​
• Provide analytical evaluation and strategic insights to understand the impacts of various change efforts, steering the organization towards optimal paths forward.​
• Drive execution through the identification of key performance indicators (KPIs), target setting, and the creation of management systems to ensure accountability.
• Present insights and recommendations to senior executives to achieve consensus for change.​

Qualifications

• Bachelor’s degree with strong academic performance; MBA or Master’s in an analytical field is a plus.​
• Extensive experience in an analytical or strategic role.​
• Analytical mindset with experience conducting large-scale data analysis to support conclusions; SQL experience required.​
• Proven experience managing high-performing analytic associates.
• Ability to communicate complex topics effectively to influence executive thinking and improve field execution.

Preferred Skills and Traits

• Exceptional communication skills with the ability to translate technical concepts for non-technical audiences.​
• Strong collaboration skills and experience driving continuous improvement initiatives.​
• Proactive, transparent, and passionate about delivering high-quality solutions in a fast-paced environment.​

Benefits

This role offers competitive compensation of up to $160,000, Bonus & RSU eligibility, and a comprehensive benefits package. You’ll have the opportunity to lead impactful projects and innovate within a growing organization.​

If you are ready to take your career to the next level, apply now through Harnham for a confidential discussion about this exciting opportunity

Key Words:

Strategy, Analytics, Omnichannel, Retail, Roadmap, Management , Stakeholder, Sales, Conversion, Analysis, Strategic, Presenting, Testing, Modeling, SQL, Tableau, Python, Excel, PowerBi

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VP of Marketing Analytics

Remote – US-based EST

$220,000-$240,000 base + bonus

FinTech – Consumer

A leading digital consumer brand is hiring a Vice President of Marketing Analytics to drive strategic insights across high-volume, multi-channel acquisition campaigns. This role sits at the heart of data-led marketing performance and will lead a team that transforms marketing investment decisions with cutting-edge analytics, experimentation, and attribution modelling.

This is a rare opportunity to step into a high-impact leadership position with full ownership over analytics strategy, tooling, and stakeholder influence across Marketing, Product, and Finance functions.

THE ROLE

As the VP of Marketing Analytics, you will:

• Own and deliver the end-to-end marketing analytics roadmap, aligning with wider commercial and growth objectives.

• Lead a high-performing analytics function, setting best-in-class standards across attribution, media mix modelling, and lead scoring.

• Build out robust forecasting and performance dashboards (Salesforce/Tableau CRM) to optimise ROI across Paid Search, Social, TV, Affiliates, Direct Mail, and more.

• Partner closely with senior leadership to shape strategic decisions through data storytelling and experimentation.

• Drive the evolution of analytics infrastructure including automation, real-time reporting, and data governance.

• Work cross-functionally with Data Science to embed predictive modelling and machine learning into prospect targeting and segmentation.

• Promote a culture of data-driven marketing across the organisation, embedding best practices in testing, analytics ops, and measurement.

YOUR EXPERIENCE

• 10+ years in marketing analytics roles with at least 3 years in senior/executive leadership positions.

• Proven track record influencing C-suite and non-technical stakeholders with commercial insight.

• Expertise in attribution (MTA, MMM), A/B testing, predictive modelling, and campaign analysis.

• Strong SQL and dashboarding skills (e.g. Tableau, Looker, or similar BI tools).

• Deep understanding of data infrastructure, ETL pipelines, and analytics automation.

• Exposure to web analytics platforms (Google Analytics, Mixpanel, etc.).

• Advanced Excel modelling and comfort in high-volume data environments.

THE PACKAGE

• Base salary: $220,000-$240,000 (dependent on location and experience)

• Bonus + competitive benefits

• Remote-first, US-based position, EST Timezone

• Strategic ownership and executive visibility in a scaling, data-first business

Interested in a VP-level role that blends strategic impact with deep analytics?
Click Easy Apply or message me directly to explore this further.

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Senior Manager – Credit Strategy & Valuations
Remote (US)
Up to $200,000

Are you a clear communicator with a passion for solving complex lending problems using mass volumes of data? This role uses those skills to drive NPV optimized credit risk and lending strategies (from ideation to implementation) at a fast-paced, start-up lender.

THE COMPANY

A fast-paced and innovative Series-B lender with a fascinating and unique consumer lending product. Data lies at the centre of everything here. This is an early hire in an ultra-high calibre business analysis / credit risk analytics function embedded into a collaborative, lean business executing on it’s high growth strategy.

THE ROLE

• Drive data-driven business strategy focused around core lending and credit risk problems
• Underpin strategies with NPV methodology
• Work cross functionally and with a variety of stakeholder to deliver strategic lending and credit risk changes to help the business optimise for growth and risk
• Hands on role using SQL and Python to interrogate data, work with models etc
• Opportunity to lead a small team of exceptional analysts as the business grows

YOUR SKILLS AND EXPERIENCE

• Experience solving credit risk or similar data-driven problems in a consumer lending environment
• Experience driving strategy within a consumer lending environment
• Strong grounding in NPV-drive decision making
• Strong background in data including using SQL daily. Python is beneficial
• Examples of exceptional performance or high level of positive impact in previous role(s)
• Strong academic background can be a positive indicator of successful candidates

THE BENEFITS

• Progress your career in a highly data driven business with an exceptional team
• Competitive salary with potential for equity
• Impact – this is a role where you will have a huge impact on the success of the business

KEYWORDS

Credit Risk Strategy, Acquisition, Scorecards, SQL, Python, Data, Analysis, Pricing Strategy, Credit Cards Strategy, Unsecured Personal Loans Strategy, Credit Limit Assignments,

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

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

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Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

To Apply for this Job Click Here

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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

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Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

• Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
• Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
• Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
• Influence strategic decision-making through rigorous data analysis and compelling recommendations.
• Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

• You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
• You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
• You thrive on solving complex analytical problems with high energy and intellectual rigor.
• Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
• You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

To Apply for this Job Click Here