דרושים » תוכנה » MARKETING data ANALYST

we are seeking a strategic and data-driven Business Data Analyst to join our team.
In this role, you will take a meaningful part in analyzing business performance, customer acquisition, and go-to-market strategies. You will work with multiple data sources, refine and develop key performance metrics, and surface opportunities to optimize our market penetration and customer engagement efforts. Your analytical insights will directly support strategic decision-making and drive growth across our marketing functions. You will leverage strong analytical expertise to deliver clear, actionable insights that shape our business strategies and overall performance.
Responsibilities:
Develop a deep and holistic understanding of data models related to customer acquisition, marketing funnel, new product launches, revenue, and broader business performance.
Design and implement scalable data models, KPIs, and predictive analytics to support go-to-market and broader strategic initiatives.
Build, maintain, and monitor reports, dashboards, and performance metrics to track business health and progress toward growth targets.
Analyze large and complex datasets to identify trends, opportunities, and potential risks across customer segments and market channels.
Communicate insights, findings, and strategic recommendations to executive leadership and cross-functional partners.
Collaborate closely with stakeholders to align data initiatives with business objectives and serve as a trusted analytics partner.

We are seeking a highly skilled and detail-oriented Data Analyst / BI Developer to lead the maintenance, enhancement, and optimization of existing data reports used across our trading operations. This role is critical to ensuring our data infrastructure supports decision-making at scale - with reliability, performance, and accuracy.
You will work closely with trading stakeholders, data engineers, and other analysts to maintain business-critical dashboards and reporting pipelines, improve performance, and incorporate evolving business logic.
What will you be doing?
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools).
Optimize SQL queries and backend data transformations for performance and scalability.
Audit data pipelines to ensure consistency and reliability across time.
Collaborate with trading and product teams to gather evolving business needs and translate them into reporting logic.
Implement automation and documentation for report lifecycle management.
Monitor data anomalies and work proactively to resolve data issues.
Support version control and change management processes for reports.

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).