דרושים » תוכנה » Product Data Analyst

we are seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner.

This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized.

In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?



Key Responsibilities & Focus Areas

Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features-you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence Morning's long-term trajectory and growth
Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory.
Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers.
Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value
Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth.
Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.

we are looking for a Product Analyst to help build smarter, move faster, and make better product decisions through data. Youre deeply data-driven and love turning analysis into meaningful business insights that shape strategy and drive impact.
Sitting at the intersection of Product and Data, youll own product analytics across the department. Youll develop a deep understanding of our customers, products, and business, turn complex data into clear insights, and help Product Managers uncover opportunities, prioritize confidently, and measure what matters.
This is a hands-on role in a fast-moving startup, with real ownership, high impact, and strong exposure to cross-functional leaders.
Responsibilities:
Become an expert on our products, customers, and business.
Partner closely with Product Managers on high-impact questions, and support them with insights and ad hoc data requests.
Define, track, and evolve core product KPIs across key journeys and flows.
Analyze funnels, cohorts, feature adoption, user behavior, and customer drop-offs.
Identify friction points and translate them into clear product and business recommendations.
Design and analyze A/B tests and product experiments.
Measure the impact of product launches, feature changes, and customer experience improvements.
Build dashboards and recurring insights using Tableau, Mixpanel, Snowflake, dbt, and AI tools or LLM engines.
Uphold a high bar for rigor and accuracy, so the numbers that reach stakeholders are right and well understood.
Communicate findings clearly to technical and non-technical stakeholders.
Partner with Data and Engineering to improve tracking, event instrumentation, and metric definitions.
Take part in the team's effort to bring AI into how we work.
Requirements

our company is seeking a Business Product Analyst - a business-minded analyst who will work hand in hand with our Product Managers and Scrum teams as a true Business Partner. This is not a reporting or dashboard role. Your mission is to help the product teams deeply understand how our features are used by our customers, what value they create, and how they can make money. You will turn product and business data into clear, actionable insights and recommendations that shape what the company builds, how it is measured, and how it is monetized. In a world where AI can surface data, this role exists to answer the harder business questions: Who uses this feature and why? Is it creating value? And how can it make money?
Key Responsibilities & Focus Areas
* Drive Strategic Direction, Not Just Feature Metrics: You won't just analyze isolated features-you will connect product performance directly to company-wide strategy. By uncovering the true business impact of what we build, your insights will shape executive decisions, guide product roadmaps, and directly influence our long-term trajectory and growth
* Shape Product & Strategic Direction: Go beyond isolated feature tracking to connect product performance directly to company strategy, ensuring every development choice informs the broader roadmap and long-term business trajectory.
* Act as a Strategic Product Partner: Embed yourself in the daily rhythms of Product and Scrum teams, bringing a high-level business and data perspective to shape feature concepts into core strategic drivers.
* Evaluate Holistic Value & Ecosystem Impact: Analyze usage patterns and user journeys to understand how features contribute to overall platform engagement, long-term retention, and compounding business value
* Scale Monetization & Business Models: Translate product behavior into comprehensive revenue strategies, connecting feature engagement directly to pricing structures, monetization opportunities, and company-wide growth.
* Challenge Assumptions & Drive Core Focus: Use rigorous data insights to question legacy beliefs, helping leadership and product teams prioritize high-impact initiatives and define where to double down or pivot.
Advantages:
*  Experience with monetization or pricing analysis.

Were looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. Youll work on the product-usage side of an AI product that thousands of developers rely on - understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. Its a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.

Be the go-to analyst for the product team - drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels.
Turn raw product and usage data into clear, consistent metrics the team can trust.
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time.
Build and maintain dashboards so teams can self-serve answers.
Run deep-dive analysis to surface opportunities and support product decisions and experimentation.
Extend into business and operational KPIs - conversion, churn, segmentation, customer value - and cost / unit-economics.
Take analyses from problem definition through to clear recommendations, not just reports.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

A Product Analyst at Torq plays a key role in helping Product teams understand whats happening, why its happening, and what to do next. By proactively identifying trends, asking the right questions, and connecting insights across product and user data, youll help shape product decisions and identify opportunities for improvement.

What You Will Do:
Proactively identify trends, opportunities, and product questions, turning data into actionable insights and recommendations.
Deep dive into user behavior, product performance, adoption, funnels, and usage to understand not only what is happening, but why.
Partner with Product to define meaningful KPIs, monitor performance, and use A/B testing and other analytical methods to identify opportunities for improvement.
Work closely with Product, R&D, and other stakeholders to translate insights into product priorities and decisions.
Build dashboards, reports, and analytical frameworks that help teams understand product performance and make better decisions.
Ensure accuracy and attention to detail, building trust in the data and insights used across the organization.

Required Data Analyst
Description
We're transforming the way fleets operate by leveraging data, automation, and AI to power smarter mobility. As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

As Head of Analytics, youll lead the analytics team and strengthen how data is used to support decision-making across the company. Reporting to the VP of Data & Analytics, youll translate the broader data strategy into clear priorities, high-quality analytical delivery, and measurable business impact.

Youll manage and develop teams of analysts and BI, partner closely with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations, and ensure that the company has trusted metrics, actionable insights, and scalable analytical capabilities.

This is a strategic and hands-on leadership role. Youll be expected to set direction, create structure, raise analytical standards, and remain closely involved in the companys most important business questions.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Team leadership and development. Lead, mentor, and develop the analytics team. Set clear expectations, establish ownership, support professional growth, and create a high-performance culture focused on business impact, analytical quality, and accountability.
Analytics strategy execution. Partner with the VP of Data & Analytics to shape the analytics strategy and own its execution, prioritization, and delivery. Translate company goals into a clear analytics roadmap and ensure resources are focused on the highest-impact business needs.
Business partnership. Act as a trusted analytical partner to senior leaders across Product, Sales, Marketing, Finance, Customer Success, and Operations. Understand their objectives, challenge assumptions, and help turn strategic questions into measurable decisions and actions.
Decision support and advanced analysis. Lead high-impact analyses across customer behavior, product performance, revenue, retention, pipeline, operational efficiency, and business growth. Ensure findings are translated into clear recommendations rather than presented as data alone.
Metrics and analytical governance. Establish and maintain consistent KPI definitions, business logic, and analytical standards. Ensure stakeholders use trusted and aligned metrics across dashboards, reports, forecasts, and business reviews.
Dashboard and reporting oversight. Guide the design, implementation, and improvement of executive and operational dashboards. Ensure reporting is relevant, reliable, easy to use, and aligned with business priorities.
Self-service analytics. Enable business teams to access and use data independently while maintaining appropriate governance, security, quality, and consistency. Identify where self-service creates value and where centralized analytical support is required.
AI-driven analytics. Help define and implement AI-assisted analytics capabilities that reduce manual reporting, accelerate insight generation, support natural-language access to data, and proactively surface risks or anomalies. Establish clear quality and validation standards for AI-generated outputs.
Cross-functional data collaboration. Work closely with Data Engineering, Data Architecture, and other technical teams to ensure that analytical datasets, semantic models, and data pipelines support current and future business requirements.
Operating model and prioritization. Build scalable processes for intake, prioritization, delivery, documentation, and stakeholder communication. Balance urgent business requests with strategic initiatives and long-term capability development.

This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout Connecteam. Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.

Key Responsibilities
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.