לוח משרות דרושים Data Analyst Team Leader

Were seeking a highly motivated Analytics Team Lead with a strong business orientation and deep analytics expertise to elevate our data-driven culture. Youll lead a growing team of analysts, partner with cross-functional teams, and build innovative solutions that power our product-led growth strategy and customer experience.
What will you be responsible for?
Lead, mentor, and develop a team of talented analystsensuring professional growth, quality deliverables, and a culture of curiosity.
Define and execute analytics strategies to support PLG motions, drive product adoption, customer retention, and overall business performance.
Champion the integration of AI-powered analytics tools, transforming how we generate insights and scale impact across teams.
Collaborate with Product, Growth, Marketing, and Customer Success to uncover data-driven opportunities and influence key decisions.
Partner with Data Engineering to ensure reliable, scalable infrastructure and tooling for advanced reporting and analytics.
Conduct deep product analyticsanalyzing user journeys, growth funnels, and cohort behavior to drive actionable insights.
Design, implement, and evaluate experiments (A/B tests) to optimize onboarding, activation, monetization, and retention.

the all-in-one platform for hospitality businesses to automate and optimize every aspect of their operations. With purpose-built technology, industry-wide expertise, and an R&D team of 200+ engineers, ensures that hospitality businesses can streamline and achieve growth while delivering the best value to guests. With a complete suite of features and 150+ industry partners, including major booking OTAs like Airbnb, Vrbo, Booking.com, Tripadvisor, Expedia, Hopper, Google Travel, and many more, transforming the hospitality industry with innovative solutions.

Today, has 15 offices and 700+ team members across the globe.
We are seeking a seasoned and strategic Head of Analytics to lead and manage our team of analysts while contributing hands-on to the performance analytics domain.

This is a high-impact role requiring a blend of analytical expertise, leadership skills, and business acumen.
You will take ownership of performance analytics by tracking company KPIs, analyzing performance metrics, and providing actionable insights and predictions on business performance. Additionally, you will collaborate with cross-functional teams to promote a data-driven decision-making culture and ensure alignment with strategic goals.

Responsibilities
Manage and mentor a high-performing analytics team, fostering growth and collaboration. Define team objectives and ensure alignment with business priorities.
Partner with executive leadership to identify opportunities to leverage data for strategic business decisions.
Drive high standards of data quality and governance, ensuring the accuracy and reliability of insights.
Partner with data engineering to optimize data pipelines and analytics infrastructure.
Collaborate closely with internal stakeholders and teams to deliver impactful insights that drive alignment with company objectives.
Ensure clear communication and alignment of analytics priorities across stakeholders.
Utilize strong SQL skills to engage directly with data, build queries, and support complex analyses.
Oversee the creation and maintenance of dashboards, reports, and KPIs to monitor performance across all business functions.
Identify trends, anomalies, and opportunities to inform decision-making and drive continuous improvement.

As the Vice President of Data, you will define and drive the companys data vision, leading the strategy and execution across Data Product, Data Science, and Data Analytics. This is a critical leadership role that will
shape how we use data to generate insights, power our SaaS platform, and drive business value across the organization. Youll report to senior leadership and play a key role in shaping our product, operations, and
go-to-market teams through data.
Key Responsibilities
Define and champion a unified data vision aligned with business goals.
Serve as a strategic leader and key voice in company-wide decision-making through data.
Partner cross-functionally with Product, Engineering, Marketing, Sales, Customer Success, and Finance.
Lead three key functions: Data Product Develop analytics tools, embedded dashboards, and usage insights, Data Science Drive predictive modeling, experimentation, and AI/ML features. and Data Analytics Deliver scalable reporting and actionable intelligence across departments.
Guide team leads, define org structure, and support ongoing hiring and mentoring efforts.
Build and promote a data-driven, high-impact culture.
Foster transparency, curiosity, and continuous improvement across the team.
Lead post-mortems, quality audits, and key roadmap reviews.
Set and track key metrics: business impact, delivery velocity, system stability, and data integrity.

Module row data into data warehouse tables according to data modeling roles and practices.
Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
Work with central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
Design analytical solutions for a wide range of Checkout org needs.
Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
Built a process to support new initiatives go/ no go decision process.
Built an infrastructure to support market research and competitor analysis for benchmarking needs.
Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
Create internal documentation and glossaries of Checkout data structure and measurements.
Promote data driven business thinking and create self-service tools to support employees and managers across the organization.