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העסקה ישירה על ידי הלקוח- עובד/ת חברה מהיום הראשון משרה היברידית We’re looking for a full-time Senior Business Analyst to join our Data team . As a senior business analyst you will have the ability to look at the company's data from a bird's eye point of view, and at the same time get your hands dirty with data and drill down analysis. Your main responsibility will be to provide meaningful insights on the on-going performance of the company's KPIs and play a significant role in making a data-driven impact on the company's success in reaching its business targets Owning the business performance analysis and data visibility of all the metrics and KPIs, such as retention, conversion, MRR, etc. Developing and implementing a repeatable process for monitoring and reporting our business performance across all activities. Synthesizing business performance trends and proactively Identifying opportunities for performance improvement. Working closely with the management team and stakeholders to collect feedback and define requirements on a continuous basis

We are looking for an Analysis Team Leader in the AI and Data Department.
As the Analysis Team Leader, you will be responsible for leading a team of data analysts, ensuring that their work provides actionable insights that drive strategic decision-making across the organization. Your role will involve overseeing the analysis of large datasets, developing data-driven strategies, and ensuring that the insights generated by your team are aligned with the company’s business objectives. You will collaborate closely with cross-functional teams, including data scientists, data engineers, product managers, R&D teams, and business leaders, to ensure that analytical insights are effectively integrated into product development, operations, and strategic initiatives. ? Lead, mentor, and develop a team of data analysts, providing technical, methodological, and business guidance, training, and support to ensure high-quality output and professional growth. ? Oversee the team’s workflow, ensuring that analytical projects are delivered on time, within scope, and aligned with business objectives. ? Lead the maintenance of structured and standardized work methodologies in the field of data analytics, ensuring consistency and enhancing data-driven business decision-making. ? Oversee the analysis of complex datasets to extract actionable insights that drive business growth. ? Initiate, develop and implement data-driven strategies that support product development, customer service enhancement, operational efficiency, and customer retention. ? Work closely with business leaders, product managers, and other stakeholders to understand their analytical needs and ensure that insights are aligned with business goals. ? Translate complex analytical findings into clear, actionable recommendations that can be easily understood and implemented by non-technical stakeholders. ? Collaborate with cross-functional teams to integrate data insights into business processes, product development, and strategic decision-making.

העסקה ישירה על ידי הלקוח- עובד/ת חברה מהיום הראשון A rapidly growing tech company that recently completed a significant funding round is seeking a passionate and experienced Senior Data Analyst to take a leading role in their innovative B2C product
This is an exciting opportunity to join a company on the rise, where your contributions will have a direct impact on their success and growth.
Key Responsibilities:
Lead customer acquisition efforts by determining key metrics, identifying opportunities, and guiding the company to achieve its performance goals. Manage a significant marketing budget across various channel partnerships and sales points. Collaborate closely with the Data Science and Analytics teams to define and implement bidding strategies. Conduct deep-dive analyses to uncover business trends and opportunities, including A/B testing for performance optimization. Work collaboratively with multiple stakeholders across the company, providing recommendations and insights to managers and teams during the decision-making process.