דרושים » תוכנה » Data Analyst

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.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

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 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 Product Data Analyst to own the numbers behind Ace and play a central role in shaping product decisions. Youll work closely with Product, Engineering, Growth, and company leadership to understand how people use Ace
Youll own the analytical process end to end: identifying the right questions, defining metrics, designing experiments, working directly with product data, interpreting results, and translating findings into clear product decisions.
We move fast, experiment constantly, and expect analysts to be hands-on, curious, technically strong, and comfortable challenging assumptions.
What You'll Do:
Own the consumer funnel end to end. Analyze acquisition, install, onboarding, activation, engagement, retention, and monetization across desktop and mobile. Identify where users drop, understand why, quantify the opportunity, and turn insights into concrete product opportunities.
Run the experimentation engine. Own experiments end to end - identify whats worth testing, define the right metrics and methodology, analyze the results, and translate learnings into clear product decisions.
Go deep into the data. Work directly with large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities that arent obvious from a dashboard.
Shape how we measure the product. Define the metrics that matter, make sure were measuring new features correctly, and create a trusted analytical foundation for understanding product performance.
Be a strategic product partner. Work closely with Product and leadership to frame important questions, challenge assumptions, and bring a strong data-driven perspective to product strategy and prioritization.
Use AI to work differently. Use modern AI tools as part of your daily workflow to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions when needed.
Make the organization faster with data. Build frameworks and self-service capabilities that help teams answer common questions independently, so your time stays focused on the highest-impact problems.

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.

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 highly analytical AI Product Analyst to join our core Product Analytics tech team. Operating at the intersection of data, Product and Tech, you will be the bridge between user behavior and model performance. You will partner with Product and Tech leadership to define KPIs, build the semantic layer for Product Agents, and iterate on AI outputs. Your insights will directly impact our strategy, drive feature adoption, shape our data infrastructure, and deliver measurable business impact.
Job responsibilities
Empower Strategic Decisions: Translate complex usage data into executive-ready dashboards and actionable recommendations that align cross-functional stakeholders.
Enable AI Data Infrastructure: Build and maintain the semantic layer for Product Agents to unlock intelligent, self-serve data discovery across the organization.
Drive Product Growth: Analyze the user journey to proactively identify adoption gaps and friction points, accelerating feature activation, retention, and growth.
Optimize AI & Feature Impact: Measure roadmap launches and iterate on prompt engineering and model evaluation to continuously elevate AI performance and user experience.
Standardize Metrics & Tracking: Partner with Product leadership to define core KPIs, unify metric definitions, and establish robust event tracking.
Accelerate Delivery Velocity: Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to streamline technical workflows and increase analytical output speed.

We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.