Senior Data Analytics Engineer
$83,200–$104,000 year
Hybrid · Chicago, Illinois, United States
Job Summary
Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. Responsibilities include designing and maintaining analytics solutions across raw and semantic data layers; translating business requirements into data models, dashboards, and actionable insights; building and optimizing SQL and Python-based data pipelines; establishing analytics standards and governance; enabling self-service analytics using BI and data preparation tools; documenting, testing, and monitoring data quality; collaborating with analysts on ad-hoc analytical initiatives; contributing to cloud-based analytics and data engineering; and supporting analytics related to financial risk, trading, and operational reporting where applicable. Key skills include SQL, Python, BI tools (Tableau, Alteryx), data modeling, dbt, Airflow/Dagster/Prefect, cloud platforms (AWS, Azure, Databricks, Snowflake), and strong communication with stakeholders.
Required Qualifications
- Bachelor's or Master's degree in a quantitative field or equivalent experience
- 3+ years of experience in Data Analytics, Analytics Engineering, BI, Data Engineering, Risk Analytics, or Software Development
- Strong SQL skills with experience writing complex analytical queries
- Proficiency in Python for data processing and pipeline development
- Experience with Tableau and Alteryx or comparable BI/Data Preparation tools
- Experience with Git, code versioning, pull requests, and modern development workflows
- Exposure to dbt and workflow orchestration tools such as Airflow, Dagster, or Prefect
- Experience with cloud platforms such as AWS, Azure, Databricks, or Snowflake
- Strong understanding of data modeling concepts including 3NF and Star Schema
- Knowledge of statistics and analytical methodologies
- Strong communication and stakeholder management skills
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