לוח משרות דרושים Data Analyst Team Leader, לחיפוש זה נמצאו 9 משרות

Kendago is looking for a sharp ,hands-on Business Analyst Lead to join our global B2C performance marketing team. This is a key role for someone with exceptional analytical and mathematical thinking, strong business understanding, and proven experience in performance marketing or growth-driven environments. The Business Analyst Lead will lead the analytical agenda, and work closely with Marketing, Media, Creative, Biz Dev, Product and R&D teams. The ideal candidate understands how business processes, marketing performance, customer value, and profitability are connected, and knows how to translate complex data into clear insights, recommendations, and business actions. Our office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week.

Responsibilities:
What You’ll Do
* Lead the business analytics domain across Kendago’s B2C performance marketing activity.
* Manage, mentor and professionally guide a Data Analyst.
* Monitor key business processes that directly impact revenue, profitability, customer value and marketing efficiency.
* Analyze marketing funnels, customer acquisition, conversion performance, CAC, ROAS, LTV, retention, attribution and customer behavior.
* Evaluate customer value across campaigns, channels, products and acquisition sources.
* Analyze data from marketing platforms such as Meta and other paid media sources.
* Identify business opportunities, funnel leaks, performance drops and areas for growth or optimization.
* Provide recommendations on where to increase, reduce or reallocate marketing investment based on performance and profitability.
* Lead and support A/B testing, funnel experiments and ongoing measurement frameworks.
* Translate complex data into clear, actionable insights for management and cross-functional teams.
* Act as an analytical advisor to senior management and support business decision-making through data-driven recommendations.
* Work with SQL, BI tools and AI tools to support deeper analysis, efficiency and smarter decision-making.

Biz Dev:
Biz Dev

Remote/Part time:
Hybrid

We are seeking a Director of Analytics to lead analytics-driven growth initiatives across our business. This role is highly strategic and hands-on, combining customer-facing leadership, business optimization, and advanced analytics.
The Director of Analytics will partner closely with Customer Success Managers (CSMs), Sales Leaders, the CRO and the leadership team to drive revenue growth, customer acquisition, as well as performance optimization across pre-sales and post-sales.
This role requires an exceptional communicator with strong business acumen, deep analytical capabilities, and proven experience leading high-performing analytics teams in a complex data environment.
Responsibilities:
Lead analytics-driven growth initiatives focused on customer acquisition, expansion, and monetization.
Partner closely with the CRO, Sales leadership, and Customer Success Managers to identify growth levers, support customers analytics requests, and optimize revenue and Conversion rates performance.
Manage and develop a high-performing analytics team, setting clear expectations for analytical rigor, problem definition, and insight storytelling
Coach and mentor analysts with a strong focus on business impact and customer-facing insight delivery
Act as a customer-facing analytics leader, participating in QBRs, executive reviews, and strategic customer conversations
Own the customer and sales data domain, including metric definitions, data consistency, and integrity
Proactively identify, troubleshoot, and resolve data quality and data reliability issues in partnership with BI, R&D, and Product
Work closely with Product and R&D teams to influence roadmap decisions through data and customer insights
Define KPIs, dashboards, and measurement frameworks that align analytics output with business outcomes
Independently initiate and lead cross-functional analytics projects from concept through delivery and impact measurement
Support pre-sales processes with analytics, including customer insights, benchmarking, ROI and value modeling, and data-backed sales narratives.
Support post-sales processes with analytics, including customer monitoring, proposition suggestion and optimization analysis.