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Senior Data Analytics Engineer

  • Hybrid
    • Chicago, Illinois, United States
  • $40 - $50 per hour
  • Information Technology

Senior Analytics Engineer role requiring SQL, Python, Tableau, Alteryx, dbt, cloud platforms, and data modeling expertise. Hybrid Chicago position with strong stakeholder engagement.

Job description

Job Summary

We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate will have strong expertise in SQL, Python, data modeling, BI tools, and modern analytics engineering practices.

Responsibilities

  • Design and maintain analytics solutions across raw and semantic data layers.

  • Partner with business stakeholders to translate business requirements into data models, dashboards, and actionable insights.

  • Build and optimize SQL and Python-based data pipelines for analytics platforms.

  • Establish and promote analytics standards, governance, and best practices.

  • Enable self-service analytics using BI and data preparation tools.

  • Document, test, validate, and monitor data quality to ensure trust in reporting.

  • Collaborate with analysts and support ad-hoc analytical initiatives.

  • Contribute to cloud-based analytics and data engineering solutions.

  • Support analytics related to financial risk, trading, and operational reporting where applicable.

Job requirements

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.

Preferred Qualifications

  • Experience in Financial Services, Trading, Clearing, Risk Management, or Capital Markets.

  • Experience supporting enterprise-scale analytics environments.

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