דרושים » דאטה » Senior data Analyst לסטארט-אפ מדהים בתחום הספורט בתל אביב- 25-28K- יומיים היברידיות

We are seeking a highly experienced and innovative analyst who can bring advanced analytical techniques to our team. Your expertise with large datasets and deep understanding of field operations dynamics will drive impactful insights for our growing operations. In this role, you will play a crucial role in ensuring efficiency to the core operations of our organization.

As couriers have complete freedom to choose when to go online and which tasks to approve, their behavior affects our overall levels of service and metrics. Optimizing and molding their behavior via analytical insights is an everyday, game-changing mission. For this mission, amongst other things, you will be developing and optimizing payment models, researching challenges and opportunities in our day-to-day operations, raising flags and providing analytical insights to other operations teams.

What youll be doing
Monitor and analyze core operational KPIs (courier income, task acceptance rate, delivery times, efficiency, etc.)
Conduct data analysis to derive meaningful insights and trends that go beyond surface-level observations
Implement strategies to enhance efficiency and reduce costs.
Develop processes & tools to balance between KPIs and find optimization opportunities.
Design, build, and monitor courier payment models that are fair and lucrative for couriers while aligning with business goals.
Support our geographic expansion over the country as well as our expansion into new product lines and business projects.
Collaborate with other teams locally and globally - such as product, global operations, and analytics.

We are looking for An experienced Senior Finance Data Analystto join our Financial Planning & Analysis team as the local FP&A system platform support and knowledge center. This critical role will partner closely with our global FP&A team, providing new tools, dashboards, and ad hoc analysis based on our FP&A system. Additionally, you will build BI reports that support the team and management. You will also play a key role in the implementation of a new FP&A system. To succeed in this role, you should be highly proficient with financial planning systems, skilled in visualizing data with PowerBI, and capable of creating new tools and data to support decision-making.

What you'll be spending your time on:

Developing and maintaining the FP&A planning platform.
Leading end-to-end development of new BI solutions to enhance the FP&A teams reporting and analytical capabilities.
Partnering with FP&A members to understand and address their reporting and analytical needs.
Participating in the implementation of a new FP&A system.

The Product Business Intelligence team is looking for an experienced, data-driven, and highly motivated senior data analyst to join our data team that is responsible for the IronSource network. Our team's mission is growing the network through data driven insights and decision making. In team we partner with leadership, product managers, engineers, revenue teams, and other stakeholders, to uncover opportunities, deliver actionable insights, and provide recommendations that drive business outcomes and address IronSource's data and analytical needs.

What you'll be doing:
Partner with leadership and Product to develop long term strategy and leverage data-driven insights to provide recommendations, breaking down strategic opportunities into actionable, clear roadmaps.
Define, instrument, and monitor key product and network KPIs to track progress, evaluate product performance, and assess overall health.
Identify and promote opportunities for impact across different product areas while analyze large datasets from multiple products to deliver insights that will guide product development.
Identify, evaluate, and support the execution of key business opportunities with data-backed insights, ensuring measurable outcomes
Own, maintain, and develop the reporting data pipeline for specific products and custom dashboards.
Work with various relational and non-relational databases, including Presto, BigQuery, Redshift, MySQL, and more.

Lead and mentor a team of data analysts, providing guidance, support, and professional development.
Collaborate with stakeholders across Operations, Product, Tech, and Program Managers to define data strategies and ensure alignment with business goals.
Design and implement scalable data models, dashboards, and reports that provide actionable insights.
Drive data-driven decision-making by analyzing trends, identifying opportunities, and proactively addressing challenges.
Establish and track key operational KPIs, ensuring data integrity and accuracy.
Manage multiple projects, prioritize tasks effectively, and ensure timely delivery of insights to support business objectives.
Advocate for best practices in data analysis, visualization, and data storytelling across the department.
Continuously improve processes, tools, and methodologies to optimize efficiency and impact.