דרושים » פרסום שיווק ויחסי ציבור » Digital & Business Analyst

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.

As our Product Analyst, you will play a key role in translating complex behavioral, marketing, and platform data into clear business insights that drive product strategy, customer value, and commercial decision-making. This is not a passive reporting role. We are looking for someone proactive, curious, and business-oriented - someone who can identify the right questions, investigate complex datasets, uncover meaningful patterns, and turn findings into actionable recommendations for Product, R&D, Customer Success, Sales, and leadership teams. platform processes large-scale consumer journey data to help global brands and publishers understand influence, attribution, and performance in a clickless discovery environment. As our products become more sophisticated, we need a strong analytical partner who can connect data, product logic, customer needs, and business context into one clear story. You will help define what success looks like, measure product performance, validate new capabilities, support strategic customer and partner initiatives, and ensure our teams make decisions based on strong data foundations.

What You Will Do

Translate complex data queries into clear business insights, recommendations, and product decisions.
Analyze large-scale behavioral, marketing, attribution, and product datasets to identify trends, risks, opportunities, and anomalies.
Partner with Product, R&D, CS, Sales, and leadership to frame business questions and define the right analytical approach.
Define KPIs, success metrics, dashboards, and analytical frameworks for new and 2 existing products.
Support product strategy by measuring adoption, feature performance, customer impact, and revenue opportunities.
Analyze clickless discovery, publisher influence, advertiser performance, share of voice, and conversion behavior.
Identify data inconsistencies, gaps, and edge cases, and partner with Data and Engineering to improve trust in our insights.
Present clear narratives and stakeholder-ready materials that connect data findings to business impact.
Your Day-to-Day Work

Write advanced SQL queries across large analytical datasets.
Use Python, Pandas, notebooks, and analytical workflows to investigate complex data
Build dashboards and reports in BI tools platforms for data visualization
Run deep-dive investigations into product usage, customer behavior, performance trends, and data anomalies.
Work with Product Managers on discovery, feature definition, rollout measurement, and post-launch analysis.
Collaborate with Data and Engineering teams on table logic, metric definitions, tracking requirements, and validation.
Prepare executive summaries, customer-facing insights, sales enablement analyses, and internal decision materials.
Proactively identify new insights, risks, and opportunities beyond the original request.

The trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.

About the role:
How you’ll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data-driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. Data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. Data Infrastructure Collaboration: Work closely with Data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions. Business Impact: Translate complex analytical findings into measurable business outcomes while supporting the company’s performance and revenue goals.

About the Company:
About trivago Innovation Center (formerly Holisto) We’re part of trivago N.V. , a global B2C travel-tech company headquartered in D?sseldorf, Germany. At trivago Innovation Center, we harness the power of award-winning AI and machine learning technologies to make hotel bookings smarter, more affordable, and perfectly tailored to each traveler. Fueled by our passion for travel and technology, we’ve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

As Head of Analytics, youll lead the analytics team and strengthen how data is used to support decision-making across the company. Reporting to the VP of Data & Analytics, youll translate the broader data strategy into clear priorities, high-quality analytical delivery, and measurable business impact.

Youll manage and develop teams of analysts and BI, partner closely with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations, and ensure that the company has trusted metrics, actionable insights, and scalable analytical capabilities.

This is a strategic and hands-on leadership role. Youll be expected to set direction, create structure, raise analytical standards, and remain closely involved in the companys most important business questions.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Team leadership and development. Lead, mentor, and develop the analytics team. Set clear expectations, establish ownership, support professional growth, and create a high-performance culture focused on business impact, analytical quality, and accountability.
Analytics strategy execution. Partner with the VP of Data & Analytics to shape the analytics strategy and own its execution, prioritization, and delivery. Translate company goals into a clear analytics roadmap and ensure resources are focused on the highest-impact business needs.
Business partnership. Act as a trusted analytical partner to senior leaders across Product, Sales, Marketing, Finance, Customer Success, and Operations. Understand their objectives, challenge assumptions, and help turn strategic questions into measurable decisions and actions.
Decision support and advanced analysis. Lead high-impact analyses across customer behavior, product performance, revenue, retention, pipeline, operational efficiency, and business growth. Ensure findings are translated into clear recommendations rather than presented as data alone.
Metrics and analytical governance. Establish and maintain consistent KPI definitions, business logic, and analytical standards. Ensure stakeholders use trusted and aligned metrics across dashboards, reports, forecasts, and business reviews.
Dashboard and reporting oversight. Guide the design, implementation, and improvement of executive and operational dashboards. Ensure reporting is relevant, reliable, easy to use, and aligned with business priorities.
Self-service analytics. Enable business teams to access and use data independently while maintaining appropriate governance, security, quality, and consistency. Identify where self-service creates value and where centralized analytical support is required.
AI-driven analytics. Help define and implement AI-assisted analytics capabilities that reduce manual reporting, accelerate insight generation, support natural-language access to data, and proactively surface risks or anomalies. Establish clear quality and validation standards for AI-generated outputs.
Cross-functional data collaboration. Work closely with Data Engineering, Data Architecture, and other technical teams to ensure that analytical datasets, semantic models, and data pipelines support current and future business requirements.
Operating model and prioritization. Build scalable processes for intake, prioritization, delivery, documentation, and stakeholder communication. Balance urgent business requests with strategic initiatives and long-term capability development.

Required Data Analyst
Description
We're transforming the way fleets operate by leveraging data, automation, and AI to power smarter mobility. 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.

Were seeking a self-motivated Data Analyst with a strong sense of ownership and outstanding communication skills. As a key team member, you will play a crucial role in analyzing and deriving insights from product and marketing data to drive strategic decision-making. You will collaborate with various teams across the organization to optimize business processes, create and maintain BI reports and dashboards, and contribute to the companys data-driven culture.

You'll work directly with senior, data-driven stakeholders across the company, including executives outside Israel. Expectations are high, feedback is direct, and the work is visible. In return, you get real ownership, real impact, and the kind of proximity to business decisions that most analyst roles don't offer.


How Youll Spend Your Time
Surface actionable insights by identifying business trends, performance drivers, and anomalies across product, marketing, and financial data
Analyze large, complex datasets to answer strategic business questions and directly support decision-making across the organization
Define, track, and improve the KPIs that measure business and operational performance, ensuring stakeholders trust the numbers
Translate data into compelling visualizations and narratives that communicate key metrics, trends, and recommendations to business stakeholders
Drive product decisions through analytics and experimentation. Design and analyze A/B tests, measure feature adoption and funnel performance, and translate user behavior into insights that shape the roadmap
Build and maintain the data warehouse infrastructure, ETL pipelines, table structures, and schema design that powers reliable, timely analytics
Act as a subject-matter expert in analytics and BI tools, guiding stakeholders and team members toward better data-driven decisions
Own financial and transactional reconciliation. Validate revenue and performance metrics against partner-reported data at cent-level precision
Use AI tools effectively as a core part of the workflow, while maintaining a deep understanding of the data and code underneath

PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it's real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? We are looking for a Data Analyst with approximately 2 years of experience to join our team and help turn data into meaningful business insights. In this role, you will analyze data from multiple sources, build reports and dashboards, identify trends and opportunities, and support data-driven decision-making across the organization. You will work closely with different business and data teams, helping translate business questions into clear and actionable analyses.
What you'll do
* Gather, analyze, and interpret data from multiple internal and external sources.
* Create and maintain BI reports and dashboards for business stakeholders.
* Identify trends, patterns, and anomalies in data and translate them into actionable insights.
* Perform ad-hoc analyses to support business and operational decisions.
* Use SQL to extract, combine, and analyze data from different sources.
* Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
* Support improvements to reporting processes, data quality, and analytical capabilities.
* Present findings and recommendations to managers and business
* stakeholders to help guide day-to-day decisions.


Business Unit:
Data

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 Marketing Analyst who is passionate about turning data into actionable insights and helping drive efficient and sustainable customer acquisition.
As a Marketing Analyst at our company, youll work closely with User Acquisition, Performance Marketing, Product, and Data teams to analyse acquisition performance, identify growth opportunities, and support data driven decision making across our platforms. Youll play a key role in measuring campaign performance, optimising acquisition funnels, and helping teams prioritise activities based on impact.
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 functions as an end to end telehealth marketplace, connecting:
Patients seeking fast, convenient access to care
Licensed doctors providing online consultations and prescriptions
Pharmacies fulfilling prescriptions and OTC products
Medication and OTC products, including regulated treatments
Delivery partners ensuring fast, reliable home delivery
The platform seamlessly combines medical consultation, prescription handling, pharmacy fulfilment, and last mile delivery into a single digital experience. Operating in regulated environments, DoktorABC enables millions of patients to receive treatment without queues, friction, or unnecessary in person visits.
Responsibilities
Analyse Marketing and user acquisition performance across channels, campaigns, markets, audiences, and treatment categories
Build and maintain dashboards, reports, and KPIs to support acquisition and marketing decisions
Partner closely with User Acquisition and Performance Marketing teams to evaluate campaign performance and identify optimisation opportunities
Analyse the acquisition journey from advertising exposure to first completed purchase
Identify trends, bottlenecks, and growth opportunities across campaigns, landing pages, and conversion funnels
Analyse traffic quality and explain changes in acquisition volume, cost, and conversion
Evaluate the performance of channels, providers, campaigns, audiences, keywords, and creatives
Support the design, monitoring, and analysis of acquisition tests and experiments
Translate complex data into clear recommendations for cross functional stakeholders
Work with large datasets from multiple sources to ensure data accuracy and consistency
Support strategic decision making through data analysis, forecasting, and performance monitoring.

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.

This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout Connecteam. Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.

Key Responsibilities
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.