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Were looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.
This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, youll focus on building the strong data foundations that make those insights possible. You wont just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.
Youll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.
What Youll Do:
Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

Required BI & Product Analyst
Position Overview
Are you passionate about turning data into real-world impact? Were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

Were looking for an experienced Sales Analyst to partner closely with Sales Operations and act as a proactive analytical force across our GTM organization.
This role combines deep analytical ownership with ongoing responsibility for CRM data quality, ensuring that insights, forecasts, and decisions are built on reliable, trusted data.
This is not a reactive reporting role, it's for someone who actively monitors, analyzes, and improves the health of both our data and our sales performance.
About Your Day to Day:
Proactively analyze sales pipeline, bookings, revenue, and funnel performance across segments, regions, and reps
Monitor pipeline health, coverage ratios, conversion rates, and forecast accuracy
Identify trends, anomalies, and risks and proactively surface them to Sales Ops and leadership
Own ongoing CRM data hygiene, including:
Monitoring data completeness, accuracy, and consistency
Identifying gaps or misuse in pipeline stages, deal fields, and forecasts
Partnering with Sales Ops to drive corrective actions with the sales team
Build and maintain analytical models to support:
Forecasting and scenario planning
Performance tracking and productivity analysis
Win/loss and deal level analysis
Work hands on with spreadsheets, BI tools, and data warehouses to transform raw data into actionable insights
Partner closely with Sales ops on planning cycles, QBRs, and strategic initiatives
Collaborate with RevOps, Finance to align definitions, metrics, and data sources
Translate complex data into clear narratives and recommendations for non technical stakeholders
How Success Will Look Like:
CRM data is trusted, consistent, and decision ready
Pipeline and forecast accuracy improve quarter over quarter
Data quality issues are identified and addressed proactively, not discovered during QBRs or at quarter end
Leadership relies on your insights to guide sales strategy and execution
Sales Ops views you as a core partner in running the business
Analytical insights directly influence sales behavior and outcomes

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact.

we are looking for a Product Data Analyst.
As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.
Responsibilities:
You will lead and conduct end-to-end analytical workflows, from requirement definition, data collection, and preprocessing to insights generation and executive-level presentations. You will also spearhead the development of scalable tools, processes, and methodologies that enhance model performance and data accuracy across the company. By uncovering actionable insights and identifying opportunities for optimization, you will directly influence business growth and help scale the organizations most impactful initiatives.
This role is ideal for someone who thrives in a fast-paced environment, enjoys taking ownership of high-impact initiatives, and is ready to manage projects independently while effectively collaborating with internal stakeholders to ensure delivery of the intended outcomes.

We're expanding our talented team and looking for an FP&A Business Partner to join us. We are seeking a high-performer with a background in a high-growth environment, who is ready to take ownership of financial planning and analysis. You will be instrumental in translating our massive user growth into sustainable business insights.

What does an FP&A Business Partner do:
If you are a data-driven professional who enjoys understanding how a business operates and scales, youll be a good fit for this role. You wont just be sitting behind a spreadsheet; youll be a key partner to our various teams, ensuring we are making smart, data-backed decisions. Youll help us bridge the gap between our creative vision and our financial goals.

Key responsibilities
Own the Model: Maintain and evolve our financial models, ensuring they accurately reflect the reality of a fast-scaling subscription business.
Business Partnership: Work directly with teams across the company to provide financial clarity, help manage budgets, and evaluate the success of new initiatives.
Forecasting & Reporting: Lead the monthly and quarterly rolling forecast process, providing clear explanations for variances and identifying risks or opportunities.
Board Reporting: Own the preparation of board decks, ensuring accuracy, clarity and meaningful insights
Data Integrity: Partner with our data analysts to ensure our financial models are rooted in accurate, real-time data.

We are seeking an analytical, detail-oriented Senior Corporate Data Analyst with hands-on experience in a rapid-growth SaaS company or in an analyst role in Private Equity, Growth Equity, investment banking focused on high-growth SaaS companies.
You will bring deep domain expertise in financial and operational data analysis- with a particular eye on SaaS metrics-to build robust analytical frameworks that influence strategic decision-making.
Youll work closely with senior leadership and cross-functional teams, applying your expertise to transform complex datasets into clear, actionable insights. This role requires a performance-first mindset, excellent collaboration skills, and a willingness to leverage AI and data tools as central to your workflow to continually generate business value.
What you will be responsible for:
Deliver a rigorous, insight-driven analysis of company metrics, using advanced data slicing, cohorting, and trend identification to surface the most favourable, decision-grade view of the business.
Apply your prior experience analyzing SaaS and high-growth company data to analytics and reporting efforts.
Develop and maintain detailed company performance modules capturing SaaS metrics such as cohorts, NRR, GRR, CAC, LTV, and unit economics.
Ingest, clean, and aggregate data from multiple internal and external sources, turning messy datasets into clear, impactful insights.
Partner with C-level executives, product, finance, and operations teams to provide data-driven analyses that inform strategic planning and operational improvements.
Translate complex data into compelling narratives and presentations tailored to both technical and non-technical stakeholders.
Continuously improve data workflows, dashboards, and models, fostering a data-driven culture.
Utilize experimentation and iterative approaches, incorporating AI tools and modern data analytics best practices to enhance outputs.

In this role, youll play a pivotal part in answering the why behind user behavior, helping us understand how sales professionals discover, adopt, and extract long-term value from platform.

What Youll Actually Do:

Act as an embedded data partner for a Product squad (e.g. Growth, Core Platform, or Data Enrichment), influencing product decisions by quantifying opportunities and forecasting impact
Perform deep-dive analyses across the full user journey, from first interaction and activation to retention and power usage
Design, execute, and analyze complex A/B tests and experiments, providing clear recommendations on whether to iterate, scale, or sunset features
Partner with Product Managers to define success metrics, North Star KPIs, and measurement frameworks for new and existing product initiatives
Translate complex datasets (SQL / Python) into clear, compelling insights and narratives for stakeholders, including senior leadership
Build and maintain self-service dashboards (Tableau, Looker, or similar) that empower Product teams to answer day-to-day questions independently
Continuously improve data accessibility, quality, and trust across Product Analytics