לוח משרות דרושים Data Analyst בהרצליה, לחיפוש זה נמצאו 5 משרות

At our company, were building the future of digital healthcare, making access to prescriptions, treatments, and delivery simpler, smarter, and fully online.
Were looking for a Business Analyst who is passionate about turning data into actionable insights and driving sustainable growth across the customer lifecycle. As a Business Analyst at our company, youll work closely with Retention, CRM, Product, Customer Experience, and Data teams to analyze customer behavior, identify growth opportunities and support data driven decision making. Youll focus on repeat purchases, retention, churn, reactivation, and customer lifetime value.
we are a technology driven group building the next generation of digital healthcare infrastructure. At the core of the group is DoktorABC, a leading telehealth marketplace operating across multiple international markets. DoktorABC connects patients, licensed doctors, pharmacies, medications, and delivery partners through a single digital healthcare experience
Responsibilities
Analyze customer behavior and business performance across the customer lifecycle, with a focus on retention, repeat purchases, churn, reactivation, and customer lifetime value
Monitor key KPIs and build dashboards, reports, cohorts, and customer segments to identify trends and performance gaps
Analyze customer journeys and identify key drop off points, churn drivers, and opportunities to improve repeat behavior
Partner with Retention, CRM, Product, and Customer Experience teams to evaluate campaigns, lifecycle journeys, discounts, Care Plans, and other retention initiatives
Analyze performance across markets, treatment categories, medications, service types, acquisition sources, and customer segments
Measure the impact of customer experience factors such as cancellations, payment failures, and delivery issues on customer behavior and business results
Support tests and experiments, including KPI definition, control groups, performance analysis, and final recommendations
Translate complex data into clear business insights, quantify opportunities, and support strategic decision making.

we are looking for a highly motivated student to join our Data Analytics team. This role includes exploring and extracting insights from millions of connected vehicles on the road. As a Data Analyst, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
This role is part-time and is Israel based.
Responsibilities:
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools and AI to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.

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 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.