Data Analyst

About the job

For one of our clients - an independent, global leader in financial risk management and technology solutions - we are seeking a Data Analyst to join their growing team.

In this role, you will:

• Develop data products using a variety of tools that empower end users to perform self-service data analysis, providing rich and interactive data experiences.
• Continuously enhance and optimize existing data products to ensure high quality and performance for end users.
• Collaborate with product owners to efficiently translate business requirements into actionable features within data products.
• Support the Product Management team in designing visual wireframes for new data products to be developed internally.
• Use SQL or BI tools to query the Enterprise Data Warehouse and extract data necessary for ad-hoc analysis.

Your impact:

As a Data Analyst, you will be essential in data modeling and analysis across company projects, ensuring high-quality, high-performance data products for end users. You will work closely with internal teams to uphold the highest standards in data product development.

Requirements:

• A B.S. or M.S. in Statistics, Mathematics, Economics, Computer Science, or Management Information Systems.
• Strong experience with Power BI and/or SQL Server/Azure Analysis Services.
• Hands-on experience with the Power BI/SSAS/AAS ecosystem (e.g., DAX Studio, Tabular Editor, ALM Toolkit).
• Practical experience with DAX, SQL, and Power Query for data modeling and analysis.
• Solid understanding of dimensional data modeling principles.
• Proficiency with version control systems like Git.
• In-depth knowledge of data analysis best practices.

Preferred (a plus):

• Experience with Snowflake or Databricks.
• Python for Data Analysis (e.g., pandas, matplotlib, seaborn, scikit-learn, plotly).
• R for Data Analysis (e.g., ggplot2, tidyverse, RMarkdown, Shiny).

Only eligible candidates will be contacted in a maximum of 3 weeks. All information will be treated as strictly confidential.