Analytics Engineer (Mid Data Analyst)
Posted 2
views
Summary
Designs and optimizes data transformation pipelines using SQL and Python, performs statistical and root-cause analysis on enterprise datasets, and builds executive-facing dashboards in Tableau/Power BI while maintaining data quality and governance.
- Data Engineering & ETL: Design, build, and optimize scalable data transformation pipelines and models using SQL and Python.
- Exploratory Data Analysis (EDA): Perform statistical analysis, root cause analysis (RCA), and trend identification on complex enterprise datasets.
- Data Quality & Governance: Maintain dataset integrity, automated validation controls, and data dictionaries.
Core Responsibilities
- Data Engineering & ETL: Design, build, and optimize scalable data transformation pipelines and models using SQL and Python.
- Exploratory Data Analysis (EDA): Perform statistical analysis, root cause analysis (RCA), and trend identification on complex enterprise datasets.
- Dashboards & Reporting: Develop interactive, executive-facing dashboards using Tableau and/or Power BI.
- Data Quality & Governance: Maintain dataset integrity, automated validation controls, and data dictionaries.
Mandatory Requirements
- Experience: Minimum 3 years of professional experience in data analytics, business intelligence, or data engineering.
- Core Technical Stack: Advanced SQL, Python (Pandas/NumPy), EDA / Statistical Analysis, and Tableau / Power BI.
- Education: Bachelor’s degree in Computer Science, Information Technology, Applied Mathematics, Engineering, Data Science, or related quantitative fields.