דרושים » תוכנה » Data Analyst

we are looking for a Data Analyst.
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 Autofleet 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.

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.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:

Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.

Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.

Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.

Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.

Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.

Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.

Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.

Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.

Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

we're looking for a Head of Analytics to define and elevate how analytics is practiced across the organization.
This is a senior individual contributor role with broad organizational influence. Beyond delivering insights, you'll define how success is measured, establish analytical standards and methodologies, and help teams across Product, Growth, Marketing, Sales Operations, and Content make better decisions with data.
You'll serve as a trusted advisor to senior stakeholders, raise the analytical maturity of the organization, and help drive the next generation of AI-powered analytics.
What You'll Do:
Promote Data-Driven Decision Making
Partner with Product, Growth, Marketing, Sales Operations, and Content teams to understand business challenges and enable better decision-making.
Define KPI frameworks and measurement strategies that align with business goals.
Translate complex business questions into clear analytical approaches and actionable recommendations.
Act as a trusted advisor to stakeholders, challenging assumptions and influencing decisions through data.

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day to day of a Product Data Science Customer Facing (Data Labs) look like:

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

we are looking for a Data Analyst
Responsibilities

Own and define key product, business, and customer KPIs across the company
Analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points
Build and maintain dashboards and reports that give teams clear, reliable visibility into performance
Partner with Product and Business to evaluate new features, initiatives, and experiments, and measure their impact
Drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data-informed decision-making.
Work closely with engineering and data stakeholders to improve data quality, structure, and accessibility
Help foster a data-driven culture by making insights understandable and actionable for non-technical stakeholders

We are currently seeking an experienced Product analyst to join our new and growing Data & Analytics team in Tel Aviv!

As a key member of our core Data & Analytics team, you will work closely with decision-makers within the Product department. In this role, you will drive analysis into our business health and stand at the forefront of identifying actionable trends, challenges, and opportunities.

With limitless potential, you will help shape and prioritize our strategic decisions using data-driven insights and thoughtful, passionate recommendations. This isnt your typical analyst role, it is a highly visible position where you will help scale our operational cadence and grow into an influential leader within the company.

** This position is temporary for a duration of 8 months, with an option to extend

What You'll Own
Work closely with our Product Managers to monitor, measure, and drive clarity around product performance across both self-serve (B2C/PLG) and enterprise (B2B) user journeys.

Analyze complex, customer-reported data issues and collaborate closely with R&D and Product Managers to resolve them.

Build and maintain the companys core reports and dashboards, balancing your focus across analytics, strategy, process, and infrastructure.

Define and track KPIs for various departments, equipping them with the tools and insights needed to take data-backed action.

Partner with Marketing to analyze acquisition, activation, and conversion funnels, measuring campaign and channel effectiveness end-to-end.

Bring new perspectives and innovative ideas to the table, and continuously measure their impact on the business.

Lead the way to consume data through a single, unified source of truth.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across . Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.

Your Chain of Impact:

Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

we are looking for a Risk Data Analyst.
As part of Risk Management team, you will be a part of a pivotal, growing organization within the company. The Risk Management departments mission is to analyze, review, and mitigate risk in decision making processes across .
As part of your role, you will:
Support the fair lending lifecycle including monitoring credit underwriting policies for disparate impact and conducting demographic portfolio analyses. Maintain regulatory compliance reporting and partner with cross-functional teams to identify risks and implement less discriminatory alternatives, as well as providing thorough documentation of all of the above.
Own end-to-end data products, from extracting raw data from complex datasets to developing sophisticated analyses, monitoring systems, and reports using Python, SQL, and other analytical tools.
Translate complex data models into actionable business intelligence with the goal of improving modeling, business understanding, and strategic decision making, as well as clearly communicating complex findings to partners, internal stakeholders, and management.
Partner with cross-functional teams across research, operations, product, and engineering to proactively identify and manage risks associated with new models and/or policies
Continuously broaden your knowledge of operational, business, and technological landscape and identify and execute high-value initiatives that contribute to the company's strategic goals.
Leverage AI-driven tools to automate workflows and drive operational efficiency across the team