Senior Data Analyst at 365scores

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Aug, 26

Salary

0.0

Posted On

09 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Visualization, Looker, Statistical Analysis, User Behavior Analysis, Data Modeling, Python, A/B Testing, KPI Monitoring, Cloud Data Warehousing, Redshift, BigQuery, Snowflake, Critical Thinking, Communication, Problem Solving

Industry

Software Development

Description

365Scores is a global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides real-time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. 365scores is seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office. Responsibilities Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions. Define, analyze, and monitor KPIs and OKR metrics to continually improve company products. Analyze large, complex data sets to address strategic and operational business questions. Actively take part in building and maintaining our “AI Driven-BI” Agentic Architecture. Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team. Perform qualitative, quantitative, and statistical analysis. True passion for understanding data and finding Insights. Provide actionable recommendations and conclusions from data to shape features and future product road maps. Requirements At least 3 years experience in data analysis, preferably in a complex business environment. Experience with User Behavior analysis methods and models: Segmentation, Retention, Ad optimization, User activity funnels, etc. Strong SQL skills with experience in querying large, complex data sets in with Cloud Data Warehouses (Redshift, Big Query, or Snowflake) Experience working with BI tools for data visualization (Preferably Looker). A strong foundation in statistical methods and data modeling. BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / similar background. Quick learner, proactive/can-do attitude with high attention to detail. A strong sense of ownership, leading data initiatives from end to end independently. Ability to work in a fast-paced environment. Creative and critical thinking skills. A team player with strong analytical and problem-solving skills as well as a business sense. Excellent communication skills with fluent English (written and verbal); Strong "story-teller" that can communicate insights and recommendations effectively. Advantages Previous experience as a Monetization or Product Analyst / Close collaboration with similar teams - a big advantage. Hands-on experience with AI Tools and methodologies: Cursor, Claude Code, Context Engineering, NLQ, etc. Knowledge of Python for data prep, analysis and statistical modelling - a big advantage. Hands-on practical knowledge in A/B testing to facilitate data-driven decision-making processes. Knowledge of statistics and experience using statistical packages for analyzing datasets Experience in a B2C tech company. Passion for Sport.

Responsibilities

Act as the data authority for the Monetization domain by performing ad-hoc research and monitoring KPIs to improve products. Build dashboards and contribute to the development of an AI-driven BI agentic architecture to provide actionable business insights.