Data Analyst
On-site Ra'anana Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at my team. Ra'anana.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SeniorityMid-level
LocationRa'anana
WorkplaceOn-site
PostedDec 4, 2024 · 1y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Analyze data to address business questions, then share practical insights across different topics
- Build logic flows that detect predefined events and turn them into useful insights
- Run scheduled and one-off analyses for business stakeholders
- Help researchers with their projects and learn how the data is collected
- Find and apply tools or methods that improve available datasets
What you bring
- At least two years working as a data analyst
- Strong practical SQL Server skills, plus programming ability in R or Python
- Knowledge of statistics
Who this fits
This mid-level, on-site role in Ra’anana suits someone who can combine hands-on analysis with support for researchers and business stakeholders. You’ll work with the research team and develop an understanding of how its data is gathered.
From the employer
We are a pioneering organization that integrates statistical modules and algorithms with a passion for sports, mainly soccer.
We are looking for a data analyst to join our research department. The data analyst role will support various stakeholders and involve:
- Collaborating with the research team and gaining a comprehensive understanding of the bigger picture.
- Learning the data-gathering mechanisms.
- Tackling business challenges by analyzing data and providing actionable insights across a range of topics.
- Developing complex logic flows to identify predefined events and generate valuable insights.
- Assisting researchers in their projects.
- Conducting both recurring and ad hoc analyses for business stakeholders.
- Researching and integrating new tools and methods to enhance datasets.
Requirements
- +2 years of experience as a Data Analyst.
- High hands-on SQL skills (SQL server)
- programming skills (R or Python).
- knowledge of statistics.