Description

You will own the design and management of the reporting environment, including data sources, security, and metadata.

Responsibilities

• Design and implement custom application data models and statistical models to improve performance over time.
• Develop efficient, reusable SQL code for data manipulation, analysis, and improvement.
• Mine databases to extract critical business insights and translate complex findings into graphical and written reports.
• Manage the end-to-end data lifecycle, including data cleansing, normalization, and integrity initiatives.
• Oversee team activities, review deliverables, and provide technical guidance to ensure high-quality outputs.
• Build and maintain business intelligence dashboards and predictive/prescriptive analytics models.

Required Skills

• 5+ years of experience in data engineering or analytical roles.
• Advanced proficiency in SQL for complex data manipulation.
• Hands-on experience with Python, R, SAS, or MATLAB.
• Strong expertise in DBMS and ETL tools.
• Experience building visualizations in Tableau or Power BI.
• Competency in version control tools such as Git or Bitbucket.
• Ability to perform descriptive, diagnostic, predictive, and prescriptive analytics.
• Experience with PyTorch and Hugging Face frameworks.
• Strong analytical thinking and ability to manage large datasets.

Preferred Skills

• Experience in training end users on new reports and dashboards.
• Ability to translate business requirements into executable technical steps.

Key Skills

Education

Any Graduate