2,399 Analytics Lead jobs in the United States

About us Nourish is on a mission to improve people's health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but <1% of eligible Americans use their covered benefits.

Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform. We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion. Learn more about us here and read about our recent Series B here. About the Role We're scaling quickly, and data is one of our most important strategic levers for unlocking growth and improving patient outcomes. As an Analytics Lead, you'll own end-to-end analytics within a business function-shaping our data roadmap, bringing structure to ambiguous problems, and enabling smarter, faster decision-making across the organization. This role blends analytics engineering and strategic insights: you'll be responsible for building clean, scalable data models and pipelines, and surfacing clear, actionable insights that accelerate our impact. Reporting to our CFO, and as one of the first hires focused on analytics at Nourish, you'll help define our long-term vision for data and collaborate closely across our Operations, Engineering, Product & Design teams. This role is full-time and open to NYC-based candidates only (expectation to work in-person 3-4 days per week, with flexibility). Our office is in the heart of Union Square. Key Responsibilities * Own the full analytics stack for a business-critical function: Take full ownership of the analytics workflow-from raw data to models, dashboards, and insights * Deliver high-impact insights: Partner closely with business stakeholders to proactively identify and lead analyses that answer key strategic questions, uncover growth and efficiency levers, and shape team priorities and roadmaps * Build dashboards that drive action: Design intuitive dashboards for a broad range of stakeholders that deliver clarity and enable fast decision-making * Build and maintain a robust data foundation: Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth * Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions We'd Love to Hear From You If You. * Have 4-8 years of experience: You've owned analytics for a business function or product area, ideally at a fast-paced, high-growth company * Bring deep domain expertise in analytics engineering: You write clean, performant SQL, have hands-on experience with tools like dbt, Fivetran, and Metabase or Looker, and have a strong grasp of the fundamentals of data modeling, ETLs, and infrastructure * Are curious, strategic, and outcome-oriented: You proactively shape the right questions, translate complex data into clear, actionable insights, and balance speed with depth to drive clear, high-impact decisions across the business * Are a builder who thrives on ownership and impact: You take pride in designing clean, scalable systems from scratch, and you're excited to take end-to-end ownership-filling gaps, creating structure, and becoming the go-to person others rely on for clarity * Communicate complex ideas with clarity: You distill deep analysis into crisp, actionable takeaways, whether writing a Notion doc or presenting to leadership, and you earn trust across cross-functional teams by speaking the language of both operations and engineering * Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish's mission Compensation & Benefits Mission & Vision & Success Nourish Clinical Philosophy Values Why Nourish Exists Team How We Work

About Ernesta:

Ernesta is on a mission to bring gorgeous, design-focused custom rugs to homes and places of gathering through an enjoyable, frictionless, and affordable experience. At the same price as a store-bought standard-sized rug, a custom-cut rug from Ernesta will not only be a better fit but also provide a better buying experience. We believe that high-quality custom design shouldn't be out of reach for consumers and aim to address this need in the multi-billion dollar global rug industry.

Driven by our collective mission, our team is hungry, hardworking, and highly ambitious. We're a strong team of problem solvers, innovators, design enthusiasts, and executors, relentlessly focused on creating and delivering beautiful and delightfully simple solutions and experiences for our customers. Together, we are excited and humbled by the opportunity to expand the market for custom rugs and enable more people to live in elevated design settings. Put simply, we believe that more soft surfaces mean happier homes.

About the Role:

We are seeking a strategic and collaborative Lead Business Analyst to join our team and help drive business performance through data. This cross-functional role will partner closely with leaders across Finance, Merchandising, and Sales & Marketing to uncover insights, measure impact, and drive decision-making across the business. The ideal candidate combines analytical rigor with strong business acumen and thrives in a fast-paced, DTC environment.

What You'll Do:

• Business Performance Analysis: Deliver insights to improve performance across key business metrics, including customer acquisition costs (CAC), revenue & profit.
• Sales & Marketing Analytics: Support campaign performance analysis, media mix evaluation, customer segmentation, and retention metrics. Work closely with sales & marketing teams to drive ROI improvements.
• Merchandising & Product Insights: Analyze product trends and assortment performance to inform future roadmap decisions.
• Forecasting & Planning: Partner with the Demand & Finance teams to deliver demand forecasts, developing increased sophistication and accuracy over time.
• Test Design & Experimentation: Develop and analyze A/B and multivariate tests across business initiatives; ensure proper experimental design, statistical rigor, and actionable interpretation of results.
• Dashboarding: Build reporting dashboards and tools to support the performance of our business.
• Data Infrastructure & Quality: Help define data requirements and collaborate with engineering or ops teams to ensure clean, reliable data pipelines and sources.

Qualifications Include:

• 5-8+ years of experience in analytics, business intelligence, or data strategy roles, ideally within DTC or e-commerce environments.
• Proficient in SQL, with experience querying large-scale datasets in Snowflake to extract insights and drive business decisions.
• Hands-on experience with data visualization tools such as Sigma, Tableau, or Looker for building dynamic dashboards, reusable datasets, and user-friendly reporting tools for cross-functional stakeholders.
• Familiarity with Segment, including event tracking, customer traits, and integration with downstream analytics and marketing tools.
• Demonstrated ability to design and interpret A/B tests and experiments with statistical rigor and business relevance.
• Strong understanding of marketing and customer analytics, including CAC, LTV, retention, and media mix performance.
• Experience supporting forecasting and demand planning, partnering closely with finance and operations teams.
• Knowledge of data modeling best practices and ability to collaborate on clean, scalable data infrastructure across platforms.
• Strong attention to data quality, with the ability to define requirements and troubleshoot data pipeline or metric discrepancies.

Ernesta is committed to inclusion. We are an equal opportunity employer and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The anticipated starting base pay for this role is between $130,000 to $150,000. This range represents the low and high end of the anticipated base salary range for this role. The actual base pay is dependent upon many factors, such as experience, education, and role-based skills. This role is also eligible for early-stage company equity (ask us about this and why this is important), health benefits, flexible paid time off, and more.

About us

Nourish is on a mission to improve people's health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but <1% of eligible Americans use their covered benefits.

Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform.

We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion.

Learn more about us here and read about our recent Series B here.
About the Role

We're scaling quickly, and data is one of our most important strategic levers for unlocking growth and improving patient outcomes. As an Analytics Lead, you'll own end-to-end analytics within a business function-shaping our data roadmap, bringing structure to ambiguous problems, and enabling smarter, faster decision-making across the organization.

This role blends analytics engineering and strategic insights: you'll be responsible for building clean, scalable data models and pipelines, and surfacing clear, actionable insights that accelerate our impact. Reporting to our CFO, and as one of the first hires focused on analytics at Nourish, you'll help define our long-term vision for data and collaborate closely across our Operations, Engineering, Product & Design teams.

This role is full-time and open to NYC-based candidates only (expectation to work in-person 3-4 days per week, with flexibility). Our office is in the heart of Union Square.
Key Responsibilities

• Own the full analytics stack for a business-critical function: Take full ownership of the analytics workflow-from raw data to models, dashboards, and insights
• Deliver high-impact insights: Partner closely with business stakeholders to proactively identify and lead analyses that answer key strategic questions, uncover growth and efficiency levers, and shape team priorities and roadmaps
• Build dashboards that drive action: Design intuitive dashboards for a broad range of stakeholders that deliver clarity and enable fast decision-making
• Build and maintain a robust data foundation: Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth
• Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions

We'd Love to Hear From You If You.

• Have 4-8 years of experience: You've owned analytics for a business function or product area, ideally at a fast-paced, high-growth company
• Bring deep domain expertise in analytics engineering: You write clean, performant SQL, have hands-on experience with tools like dbt, Fivetran, and Metabase or Looker, and have a strong grasp of the fundamentals of data modeling, ETLs, and infrastructure
• Are curious, strategic, and outcome-oriented: You proactively shape the right questions, translate complex data into clear, actionable insights, and balance speed with depth to drive clear, high-impact decisions across the business
• Are a builder who thrives on ownership and impact: You take pride in designing clean, scalable systems from scratch, and you're excited to take end-to-end ownership-filling gaps, creating structure, and becoming the go-to person others rely on for clarity
• Communicate complex ideas with clarity: You distill deep analysis into crisp, actionable takeaways, whether writing a Notion doc or presenting to leadership, and you earn trust across cross-functional teams by speaking the language of both operations and engineering
• Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish's mission

Compensation & Benefits
Mission & Vision & Success
Nourish Clinical Philosophy
Values
Why Nourish Exists
Team
How We Work

The Position

We advance science so that we all have more time with the people we love.

The Portfolio Analytics Lead in Genentech Research and Early Development (gRED) Early Clinical Development Informatics (ECDi) Data Intelligence (DI) team is a strategic thought partner to key stakeholders and an integral contributor to the company's clinical operational planning efforts. The role contributes to an integrated Clinical Operations Plan (iCOP) which is used to guide end-to-end, cross-business unit, Clinical Operations planning and strategies at the disease area (DA) level. The role provides strategic operational insights with their capabilities in the following areas: forecasting, landscape analysis, advanced data analysis, and project management, to support Clinical Operations and management for effective data-driven decision making. This role participates and leads in global workgroups and initiatives to define cross-business unit best practice for processing, analyzing, generating actionable insights, and presenting data in innovative and consumable ways to address inquiries, as well as to support business planning and strategies.

The Opportunity:

● Work with cross-business unit Clinical Operations DA level workgroups (e.g., iCOP team), Clinical Operations leaders, project/study teams, lifecycle teams to understand business needs and priorities, as well as immediate scope of work.

● Deliver integrated insights and analytics, trade-off analyses, and risk assessment to enable optimization of patient recruitment strategies, country footprint, and clinical site selection at DA level in addition to for study teams and ECD Clinical Operations management.

● Proactively partner with relevant stakeholders to assess the health of the portfolio and identify opportunities to expedite evidence generation and to accelerate the delivery of studies and product launches.

● Utilizes state-of-art methodologies (including predictive modeling, ML/AI and scalable prototypes) and tools to analyze complex data (Real World Data and internal data) and interpret analysis of results to measure project/study performance and guide portfolio-level decisions efficiently.

● Take the initiative in identifying, interpreting, and communicating the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment and retention forecasts.

● Lead relevant data science and analytics projects, manage the implementation of the product development cycle, and ensure the success of the product.

● Actively lead/participate in related cross-functional communities and collaborate with subject matter experts (SMEs) from cross-business units in global workstreams. Through analytics expertise and deep technical knowledge, contribute to the creation and implementation of globally aligned strategies and tools.

● Identify potential opportunities for continuous improvement; engage managers and peer groups regularly for coaching, assistance, and advocacy.

● Lead and coach junior team members.

● Consult with IT service and data governance teams to clarify data needs. Lead internal and/or external team members to acquire, aggregate and curate data and information.

Who You Are:

● Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Life Sciences, Public Health, or a related field; Graduate-level degree preferred.

● 7+ years of experience with Bachelors; 5+ years of work experience with Masters; 3+ years of work experience with PhD, in the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Advanced Data Analytics, Information Visualization, and Data Science in Clinical Operations in the pharmaceutical/biotech industry.

● Strong proven experience working with and engaging Clinical Operations stakeholders, and acting as a strategic thought partner to teams.

● Experience of leading/working with SMEs from cross-business units to understand and diagnose business problems, as well as using data driven methods to analyze and solve business situations.

● Experience with scripting and analytical programming preferred (e.g., Python, R, SQL, JavaScript, or other JavaScript-based libraries)

● Knowledge of snowflake/cloud, architecture, and data modeling concepts preferred.

Experience with various forecasting methods and techniques strongly preferred.

● Record of portfolio management experience and effectively leading/working in a matrix environment with team members using influence without authority. Able to multi-task and re-prioritize work on short notice, able to lean in and manage through change.

● Persuasive written and verbal communication skills, easily communicating complex ideas. Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships.

Relocation benefits are not available for this posting.

Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

The expected salary range for this position based on the primary location of South San Francisco, California is $148,100 - $275,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

#LI-JD1

#ECD

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Mars United Commerce powered by Marilyn, is a global commerce company that delivers all the solutions clients need to grow their business today and tomorrow. Founded by the late Marilyn Barnett, we've become global leaders in four key commerce disciplines - Strategy & Analytics, Digital Commerce, Content & Experiences, and Retail Consultancy - that together form a United Commerce Ecosystem that provides all the expertise clients need to navigate the commerce marketing landscape. Our 800+ Martians across North America, Europe, Australia, New Zealand and Asia exist to drive growth for our people, our clients, and our communities all across the globe.

We're looking for an Atlanta-based Commerce Analytics Lead to help our clients navigate the dynamic, fast-changing retail media landscape. As a Commerce Analytics Lead, you play a crucial role in developing and maintaining the data infrastructure that supports our analytics engineering capabilities. You work closely with data scientists, analysts, strategic planners, and other disciplines to ensure data quality and accessibility and implement best practices for data governance and security.

Part of the overall Analytics Group, this person is responsible for data modeling automation and preparing data needed by the Data Science team for modeling and the Business Analytics team for data analysis. This will involve documenting the data cleaning and transformation processes, automating these processes, ensuring data governance practices are followed, and maintaining a data catalog. The team is also responsible for developing all PowerBI dashboards based on client needs or Data Science outputs.

Candidates must reside in a commutable distance from the Atlanta area.

PRIMARY RESPONSIBILITIES:

* Assess where APIs are unavailable, design alternate extraction or manual workflows to obtain "long-tail" retailer data.
* Define business-ready metrics and KPIs for commerce performance, ensuring consistency across monthly and quarterly reports.
* Pull, validate, and blend brand, retailer, and media data into reporting datasets; troubleshoot data gaps and quality issues proactively.
* Produce and deliver the monthly commerce report, quarterly executive report, and any ad-hoc insight decks requested by TCCC.
* Translate data findings into concise insights and recommendations for stakeholders.
* Serve as the primary point of contact for data access questions, aligning with Mike on credentials and resolving any miscommunication.
* Partner with engineering team to define required data sources, schema, and capture methods for commerce reporting.
* Build and maintain an inventory of retailer platforms that includes API endpoints, documentation links, sample code, and access credentials.
* Track reporting deadlines, manage stakeholder expectations, and escalate blockers early to ensure on-time delivery.
* Support eMMM data preparation and leverage eMMM outputs to drive budget planning and investment recommendations.
* Build audiences in clean rooms like AMC, Walmart Clean Room for targeting and measurement.

SKILLSETS REQUIRED:

* 7-9 years of deep commerce or retail media analytics experience, with proven ownership of end-to-end reporting pipelines.
* Strong SQL or Python for data prep, plus familiarity with API integrations and authentication flows.
* Ability to translate technical data processes into clear business insights.
* Comfort liaising between technical engineering teams and non-technical stakeholders.
* Applied data science skills - regression, time-series, marketing mix modeling, and other statistical techniques - with the ability to turn MMM outputs into budget and investment scenarios.
* Strong data-storytelling: translate complex analysis into clear insights and actionable recommendations.

Mars United Commerce is an Equal Opportunity Employer and will recruit, hire, train and promote persons in all job classifications without regard to race, ancestry, creed, color, sexual orientation, gender identity, age, national origin, disability or handicap, HIV, veteran, marital or family status, or any other status or condition protected by applicable province and/or federal laws, except where a bonafide occupational qualification applies.

Mars United Commerce has developed a wide variety of inclusive benefit plans and policies that address and promote the needs of all employees and their family members, including comprehensive group health plans, a parental leave program that includes paid maternity and paternity benefits for pregnancy, adoption and surrogacy, flexible paid time off, a broad and confidential employee assistance program, ongoing wellness support initiatives, trusted financial health advice and guidance, promotion of education through tuition support and assistance, and a flexible and supportive work environment and culture.

Compensation Range: $115,000- $130,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be September 30, 2025.

#dp

#LI-BS1

#LI-Hybrid

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.

We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.

At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.

Join us and become part of a company that's empowering people to unlock their digital potential!

To get a sneak peek into our culture, find us on Instagram: @optimizely

Introduction

Optimizely is seeking an experienced Marketing Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across the Marketing domain.

This position will be responsible for leading domain analysis creation, providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization.

Job Responsibilities

* Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights.
* Drive digital, web, demand and pipeline analytics.
* Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies.
* Partner with, Sales, Customer Success and Product teams to implement data-informed actions and measure impact.
* Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs.
* Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind marketing performance trends.
* Translate technical data findings into business-relevant insights that resonate with executive, marketing, and cross-functional stakeholders.
* Use visual storytelling techniques, including dashboards and data visualizations, to enhance understanding and engagement.
* Frame insights in the context of strategic goals, highlighting opportunities, risks, and recommendations with clarity and influence.
* Stakeholder/Leadership Engagement: Partner with the SVP of Demand Generation and global Marketing/SDR leaders to ensure the Marketing department focuses on the right metrics and improves KPIs.
* Process Optimization: Spearhead quarterly initiatives to enhance the Marketing team's efficiency, scalability, and performance. This encompasses pipeline and channel analysis and supporting the design of the SDR Book of Business.
* Cross-Functional Collaboration: Act as a strategic partner to Marketing, Sales, Product, Finance and IT teams to align initiatives and streamline customer experiences.

Knowledge and Experience

* 5+ Years of professional experience
* 3+ Years of experience of Marketing Ops/ RevOps at a SaaS company experience
* Demonstrated familiarity with intent data (6sense), sales engagement platforms (Outreach, Salesloft, Gong), and conversational analytics
* Proficiency in SQL and at least one statistical programming language (Python, R, etc.)
* Experience with marketing platforms (Google Analytics, Salesforce, Marketo, etc.)

Behavioural Expectations

* Strong background in bringing data to life for decision makers
* Skilled in interfacing with teams, enabling data literacy, and upskilling team members
* Ability to work in a fast-paced and ever-changing environment.
* Mindset of continuous improvement, self, systems, processes
* Ability to identify work that supports company objectives and maintain focus on business outcomes.
* Honesty when things go wrong (they will), and a plan to prevent the same thing from happening again.
* Problem solving mindset (we don't look to blame, but to prevent future mistakes)
* You create your own experiments to find solutions or answer questions, or you do research to find answers.
* Transparent communication: status of work in flight, creating documentation of current state.
* Maintain intellectual and emotional curiosity.
* Self-managed work/personal life balance
* Diplomacy, negotiation, and development of complex relationships
* You teach yourself new skills and systems.

Education

Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience.

Competencies

Driving Continuous Improvement

Driving for Results

Inspiring and Motivating Others

Solving Complex Problems

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#LI-SR1

About us

Our mission is to reinvent the way people learn, starting with language.

Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.

Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

About this role

As the Lead for Marketing Analytics at Speak, you'll own the systems, insights, and experimentation frameworks that power our global growth. You'll be the key analytics partner to our Growth teams globally -responsible for everything from performance modeling to measurement infrastructure to media investment strategy.

This is a rare opportunity to build the next phase of the Marketing Analytics function at Speak with a high degree of autonomy and ownership. We're looking for someone who is not just analytically sharp but also deeply strategic-a builder who can scale systems and generate insights that shape the full funnel roadmap across marketing, growth, and growth product.

What you'll be doing

• Own and evolve Speak's global marketing analytics function, including dashboards, attribution, experimentation, and incrementality/MMM.
• Partner with growth globally teams to guide investment decisions across performance, CRM, brand (TV, OOH), ASO/SEO, influencer, and offline channels.
• Design and manage the analytics infrastructure that supports accurate, fast, and scalable insights across markets and platforms
• Build and operationalize frameworks for measuring CAC, LTV, ROI, incrementality, and media efficiency.
• Accelerate experimentation velocity by supporting the design, execution, and analysis of A/B and market-level tests across creatives, lifecycle, and product surfaces.
• Collaborate cross-functionally with product, engineering, and finance teams to identify levers for acquisition, retention, and monetization.
• Shape forward-looking strategy by analyzing media fatigue, market saturation, and competitive benchmarks.
• Hire and mentor junior team members, scaling the team alongside the business

What we're looking for

• 5-7+ years of experience in high-performance analytics roles, with at least 3 years focused specifically on growth or marketing analytics.
• Deep familiarity with multi-channel marketing measurement , including attribution systems, LTV/CAC frameworks, and MMM/incrementality testing.
• Expertise in SQL , plus hands-on experience with BI tools like Mode , Looker , or Tableau .
• Experience designing and running marketing and pricing/packaging experiments (creative tests, landing pages, CRM, geo tests, etc.).
• Demonstrated ability to influence growth, product, finance, and marketing stakeholders with clear, actionable insights.
• Strategic mindset-someone who can zoom out and prioritize , not just execute analyses.
• Clear, compelling communicator who can explain complex ideas to non-technical audiences.
• Bonus points for
  
  • Experience working on multi platform consumer subscription or mobile app products
  • Exposure to marketing mix modeling (MMM) and brand measurement
  • Proficiency in Python or R for deeper modeling or statistical analysis
  • Prior experience building out marketing analytics functions from scratch
  • Global growth experience or exposure to multi-geo go-to-market strategies

Why work at Speak

1. Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company.
2. Do your life's work with people you'll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply.
3. Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you'll have the opportunity to talk to users in each of these regions on a regular basis as well as travel.
4. Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We're helping millions of people achieve their goals and improve their lives.

Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

BUILDER - ANALYTICS LEAD

LOCATION: On-site, SF / Santa Clara (minimum of 2 days in Santa Clara until SF office opens in Q3, then may need to travel 1 day per week to Santa Clara or on as needed basis)

WHO YOU ARE:

• Experienced Builder: You've led analytics at an early-stage company and know how to build from first principles-building the metrics layer, reporting stack, and underlying infrastructure.
• Bias Towards Action: You thrive in zero-to-one environments, work quickly, and embrace ambiguity. You know when to ship fast and when to invest in long-term, durable solutions.
• Strategic Executor: You move seamlessly between strategy and execution. You're just as comfortable writing SQL and building dashboards as you are influencing product direction or shaping GTM plans.
• Cross-Functional Partner: You work fluidly across Product, Engineering, and GTM teams to align metrics, uncover insights, and make sure the right questions get asked and answered.

WHAT YOU WILL DO:

• Own and Execute the Analytics Roadmap: Define and drive the company-wide analytics strategy. You'll build the roadmap and roll up your sleeves to deliver it.
• Define and Operationalize Metrics : Design scalable metrics frameworks, dashboards, and experimentation infrastructure. Partner with Data Engineering to implement a governed semantic layer that enables self-serve analytics.
• Drive Strategic Impact: Use data to drive high-stakes decision-making across Product, Engineering, and GTM. Influence strategy with clear, actionable insights.
• Scale the Function: Help define how analytics evolves as Reevo grows. Build, lead, and mentor a team of analysts, data scientists, and analytics engineers; foster a culture of inclusion, innovation, and excellence.

WHAT WE'RE LOOKING FOR:

• 8+ years of analytics experience with focus in Product Analytics, Marketing, Growth and/or Sales, preferably within B2B SaaS or AI-native platforms
• B.S. or M.S. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• Deep technical fluency in SQL, with hands-on experience using modern analytics stacks (e.g., Snowflake, dbt, Fivetran, Hex, Sigma, Looker, Hashboard)
• Experience owning the analytics stack end-to-end (modeling, reporting, instrumentation)
• Business and product acumen-you go beyond the "what" to get to the "so what"
• Exceptional written and verbal communication skills; ability to clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders
• Experience navigating dynamic startup environments, managing multiple priorities, and driving measurable outcomes

ABOUT REEVO:

At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go-to-market motion, enabling B2B teams to operate faster, smarter, and more collaboratively.

By combining automation, intelligence, and a radically intuitive interface, we're helping companies unlock new levels of productivity and growth across marketing, sales, ops, and customer success teams.

If you're excited about working on a product that reshapes how revenue teams work and being surrounded by curious, driven teammates, you'll feel right at home here. From day one, you'll get real ownership, real mentorship, and real impact. Our team of 50+ builders has 30 exits under their belt, so you'll be working alongside the best!

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.

We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.

At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.

Join us and become part of a company that's empowering people to unlock their digital potential!

To get a sneak peek into our culture, find us on Instagram: @optimizely

Introduction

Optimizely is seeking an experienced Marketing Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across the Marketing domain.

This position will be responsible for leading domain analysis creation, providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization.

Job Responsibilities

* Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights.
* Drive digital, web, demand and pipeline analytics.
* Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies.
* Partner with, Sales, Customer Success and Product teams to implement data-informed actions and measure impact.
* Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs.
* Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind marketing performance trends.
* Translate technical data findings into business-relevant insights that resonate with executive, marketing, and cross-functional stakeholders.
* Use visual storytelling techniques, including dashboards and data visualizations, to enhance understanding and engagement.
* Frame insights in the context of strategic goals, highlighting opportunities, risks, and recommendations with clarity and influence.
* Stakeholder/Leadership Engagement: Partner with the SVP of Demand Generation and global Marketing/SDR leaders to ensure the Marketing department focuses on the right metrics and improves KPIs.
* Process Optimization: Spearhead quarterly initiatives to enhance the Marketing team's efficiency, scalability, and performance. This encompasses pipeline and channel analysis and supporting the design of the SDR Book of Business.
* Cross-Functional Collaboration: Act as a strategic partner to Marketing, Sales, Product, Finance and IT teams to align initiatives and streamline customer experiences.

Knowledge and Experience

* 5+ Years of professional experience
* 3+ Years of experience of Marketing Ops/ RevOps at a SaaS company experience
* Demonstrated familiarity with intent data (6sense), sales engagement platforms (Outreach, Salesloft, Gong), and conversational analytics
* Proficiency in SQL and at least one statistical programming language (Python, R, etc.)
* Experience with marketing platforms (Google Analytics, Salesforce, Marketo, etc.)

Behavioural Expectations

* Strong background in bringing data to life for decision makers
* Skilled in interfacing with teams, enabling data literacy, and upskilling team members
* Ability to work in a fast-paced and ever-changing environment.
* Mindset of continuous improvement, self, systems, processes
* Ability to identify work that supports company objectives and maintain focus on business outcomes.
* Honesty when things go wrong (they will), and a plan to prevent the same thing from happening again.
* Problem solving mindset (we don't look to blame, but to prevent future mistakes)
* You create your own experiments to find solutions or answer questions, or you do research to find answers.
* Transparent communication: status of work in flight, creating documentation of current state.
* Maintain intellectual and emotional curiosity.
* Self-managed work/personal life balance
* Diplomacy, negotiation, and development of complex relationships
* You teach yourself new skills and systems.

Education

Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience.

Competencies

Driving Continuous Improvement

Driving for Results

Inspiring and Motivating Others

Solving Complex Problems

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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