דרושים » תוכנה » Data Analyst

were 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, youll 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.

Youll 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 Youll 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.

Build Analytics Excellence
Establish analytical methodologies, standards, and best practices across the organization.
Lead the companys approach to experimentation, KPI definition, and performance measurement.
Mentor analysts and help raise the overall analytical capabilities of the team.
Promote a culture where data-driven decision-making becomes the default.

Drive Product, Growth & Subscription Analytics
Partner with teams across the customer lifecycle, from acquisition and activation through conversion, retention, and monetization.
Analyze user behavior, subscription performance, pricing initiatives, and product changes to uncover growth opportunities.
Connect analytical findings to clear business actions and measurable outcomes.

Shape the Future of AI in Analytics
Leverage AI tools to accelerate analysis, insight generation, and decision-making.
Help design AI-powered analytical workflows and data analysis agents.
Continuously identify opportunities to improve how analytics creates business value through AI.

Improve Analytics Infrastructure
Identify gaps in tracking, data quality, measurement, and reporting.
Partner with data and engineering teams to improve data availability, reliability, and accessibility.
Drive the development of dashboards, alerts, and scalable self-service analytics capabilities.
Ensure business teams can confidently access and interpret the data they need.

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.

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 looking for a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

We are looking for a User Acquisition Analyst to drive measurement, insights, and optimization for our paid acquisition efforts across channels, with a clear focus on growing our subscription product.

What we are looking for: someone who understands paid marketing deeply (search, social, display, affiliates, etc.), can navigate the realities of attribution and tracking, and can translate multi-channel performance into decisions that improve CAC, ROAS, LTV, and payback. You should also be highly fluent with AI-driven analysis, confident inside each platforms native analytics, and able to use visualizations + AI to communicate insights and support data-driven decision making.

What youll be doing:
Own analytics for paid user acquisition across channels (paid search, paid social, display/programmatic, affiliates, partnerships, etc.) and across platforms (web, iOS, Android).
Build and maintain end-to-end performance visibility: click -> landing -> activation -> paywall -> purchase -> renewal/retention.
Develop and refine measurement approaches including:
attribution models (last-click, first-click, data-driven where available)
cross-channel cannibalization detection and analysis.
incrementality and lift thinking (geo tests/holdouts/controlled experiments where possible).
Use AI tools to accelerate analysis, explore hypotheses, detect patterns/anomalies, and generate high-quality insights.
Leverage each platforms native analytics tools (Google Ads, Meta, TikTok, DSPs, affiliate platforms, etc.) to understand what drives performance and to diagnose what is actually changing inside campaigns (creative, audiences, bidding, placements, pacing, attribution).
Monitor and optimize core performance KPIs tied to subscriptions: CAC, ROAS, CVR, LTV, payback period, churn/retention cohorts.
Own ongoing monitoring to proactively detect drops, tracking glitches, attribution breaks, spend/performance anomalies, and funnel issues, and drive resolution with relevant stakeholders.
Partner with UA managers and channel owners to identify opportunities, size impact, and prioritize actions (creative, targeting, bidding, landing pages, offers, paywall flows).
Deep dive into funnel drop-offs and cohort behavior by channel/campaign/audience/geo/device to explain whats driving performance.

We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities:
Build and maintain data pipelines and dashboards to improve data visibility and reporting in production environments
Implement AI-powered workflows for internal and external uses
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

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 are looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.
Key Responsibilities:
The role is focused on the marketing domain, working closely with growth, performance marketing, and user acquisition teams.
You will analyze marketing funnels, campaign performance, and attribution models to optimize ROI and drive scalable growth.
This position requires a strong understanding of marketing metrics (CAC, LTV, conversion rates) and the ability to translate data into actionable marketing insights.
Build Specialization-specific operational dashboards.
Develop an analytics framework in collaboration with business process improvement and operations management.
Quarterly planning and roadmapping in collaboration with operations management and product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. The company offers an award-winning disruptive solution: a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art AI, we help protect human lives and keep critical energy. We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape. This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* Ensure data quality and consistency for accurate analysis and reporting.
* Conduct statistical analysis and use data visualization tools to present findings.
* Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

Required Business Analyst
The opportunity
Our Business Analyst will thrive in a dynamic, fast-paced environment that offers exposure to a diverse portfolio of game genres and a culture that actively encourages the use of AI tools to scale your impact. This is a highly collaborative space where youll work alongside and learn from top-tier industry experts, ensuring continuous professional growth and innovation.
What you'll be doing:
Analyze large-scale player data to identify trends, opportunities, and risks across retention, progression, economy, and monetization.
Build and maintain dashboards and reports used daily by Product, Game Design, and Monetization and R\\&D teams.
Define and monitor KPIs, detect anomalies, and proactively surface insights to stakeholders.
Partner closely with Product Managers, Economy Managers, and Developers to support data-driven decision making.
Support A/B testing efforts: experiment design, results analysis, and clear recommendations.