דרושים » פרסום שיווק ויחסי ציבור » Data/Business Analyst - Marketing

Were looking for a Senior Business Analyst who works at the intersection of growth, data, and strategy, and acts as a true partner to our Go-To-Market and Revenue teams. This role goes beyond reporting-its about understanding the drivers behind our business performance, shaping commercial strategy, and turning complex data into actionable growth levers.
Youll be deeply embedded in how our business scales, from defining commercial success metrics and optimizing the sales funnel to influencing the company roadmap with clear, data-driven recommendations.
Hands-on experience using GenAI to accelerate business analysis, forecasting, insight generation, and decision-making processes is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy working closely with Sales, Marketing, Finance, and Operations leaders.
You like answering complex questions about revenue drivers, customer acquisition, and market trends.
Youre comfortable owning analyses end-to-end-from framing the business problem to measuring the impact.
You thrive in fast-moving, iterative environments where agility is key.
You actively leverage AI tools to improve analytical speed, forecasting quality, and insight depth.
You care about outcomes, not just dashboards.

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).

Realize your potential by joining the leading performance-driven advertising company!
our companys Strategy and Intelligence team is building an execution-first, impact-driven capability to turn data and generative AI into a core advantage for our marketing organization and beyond. We operate with startup intensity, enterprise reach, and a relentless drive for actionable insights.
As an AI Insights and Research Specialist on the Strategy and Intelligence team in our Tel Aviv Office, youll play a vital role in owning the in-depth understanding of our customer portfolio and market landscape. This role is perfect for a data-savvy analyst who thrives on uncovering best practices and is eager to build and leverage AI tools and agents to scale their impact.
Youll be a key player in a high-impact Strategy and Intelligence team with direct visibility and ownership. Were not just analyzing data the traditional way; were operationalizing AI to revolutionize how we understand our customers and market. If you like lean teams, cross-functional execution, and using cutting-edge tech to solve real business problems, this is your home.
How youll make an impact:
Lead in-depth analysis of customer activity data to uncover trends, best practices, and actionable insights for the marketing organization and broader company.
Monitor and report on key performance indicators (KPIs) regarding our customer portfolio, providing data-driven recommendations to strategy leadership.
Conduct external industry research to benchmark our company against market standards and identify emerging opportunities, including leveraging industry databases.
Own end-to-end implementation of GenAI and automation projects in order to fulfill the above tasks and more - from scoping and prompt design to testing, documentation, and rollout.
Translate business needs into structured workflows, coordinating between non-technical and technical teams.
Translate complex data into clear, strategic narratives that drive decision-making across marketing and business teams.
Execute all of the above using AI tools extensively (AI first) to increase pace and quality of outputs.

were looking for a Marketing & Growth Data Analyst to help shape how we grow. In this role, youll work closely with Marketing leaders and senior management to measure performance, run meaningful analyses, and influence decisions that drive efficient customer acquisition and revenue growth. The role focuses on performance measurement, advanced analytics, and statistical modeling to inform strategy, budget allocation, and optimization decisions. This is a hands-on role in a fast-moving startup environment, with real ownership, high impact, and strong exposure to leadership.
Responsibilities:
Partner closely with Marketing leadership and top management on high-impact growth decisions.
Define, track, and evolve core Marketing & Growth metrics (CAC, LTV, ROAS, payback, etc.).
Build dashboards and recurring insights using Tableau, backed by Snowflake and dbt.
Analyze performance across multi-channel marketing efforts (paid, organic, lifecycle, partnerships).
Design, run, and analyze A/B tests and experiments, from metric definition to insights.
Own and improve tracking and attribution frameworks to ensure reliable measurement.
Build and apply statistical and econometric models (e.g., MMM, regression, incrementality) using Python or R.
Support forecasting, planning, and budget allocation with data-driven insights.
Communicate findings clearly and confidently to non-technical stakeholders.

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 Data Analyst who will be part of our Growth team and have a significant ability to impact our business.
Whats the job?
Develop predictive models and perform advanced data analysis to generate key insights and actionable recommendations for high-level management.
Conduct deep analytical investigations, including hypothesis-driven analysis, data exploration, and anomaly detection, to uncover trends, root causes, and business opportunities.
Work closely with Customer Success, Product, and Business teams to analyze partner performance, identify optimization opportunities, and translate data insights into scalable operational improvements.
Build and maintain machine learning pipelines, data analytics automation tools, and scalable processes to improve company revenue, partner performance, and Customer Success operations.
Collaborate with the team to design experiments (A/B testing) and continuously improve the analytical and reporting processes through streamlined and scalable approaches.
Contribute to the development and maintenance of advanced data dashboards, reports, and visualizations that track business performance, model performance, and overall data health, and ensure robust data quality and tracking mechanisms.

Were looking for a strong and hands-on Product Analytics Team Lead to join our data organization. In this role, youll lead the Product Analytics function, partnering closely with Product, Growth, and Engineering to drive data-informed product decisions across our app portfolio. Youll combine leadership and execution, guiding analysts, shaping analytical best practices, and personally diving deep into product data to uncover insights that drive growth and optimization.

Key Responsibilities

Lead, mentor, and develop a team of Product Analysts, setting high standards of analytical excellence.
Partner closely with Product Managers to define KPIs, success metrics, and measurement frameworks.
Drive product performance analysis across user funnels, engagement, retention, and monetization.
Lead and oversee experimentation initiatives, ensuring high-quality design, execution, and analysis of A/B tests.
Translate complex product questions into structured analyses and actionable recommendations, while establishing clear and consistent product metrics across dashboards and reporting tools.
Collaborate with Data Engineering and Data Product teams to improve data models and semantic definitions.
Present insights and strategic recommendations to senior leadership and key stakeholders.

We are looking for a detail-oriented and proactive Business Data Analyst who is passionate about transforming data into actionable insights. This role involves working closely with cross-functional teams to support data-driven decision-making in a fast-paced environment.

Youll play a key role in shaping data strategy and delivering insights that impact global business decisions.



Key Responsibilities:

Collect, process, and analyze data from various sources to drive business performance.
Design and build interactive Power BI dashboards and reports.
Collaborate with business stakeholders to understand data needs and translate them into analytical solutions.
Identify trends, correlations, and insights to inform strategic decisions.
Maintained and optimized data models, reporting pipelines, and documentation.

Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

Were looking for a sharp and driven Data Analyst 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 Big Data Analyst 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