Hudson Manpower is seeking a Senior Data Analytics Engineer for an on-site role in Chicago, IL, offering $40-$50 per hour.

Design and sustain analytics architectures across raw data and curated (semantic) layers.
Collaborate with business stakeholders to translate requirements into data models, dashboards, and actionable insights.
Develop and optimize SQL and Python pipelines for analytics platforms.
Define and promote analytics standards, governance, and best practices.
Enable self-service analytics through BI and data preparation tools.
Document, test, validate, and monitor data quality to maintain trustworthy reporting.
Work with analysts and support ad hoc analytical initiatives.
Contribute to cloud-based analytics and data engineering initiatives.
Support analytics related to financial risk, trading, and operational reporting where applicable.

Bachelor's or Master's degree in a quantitative field or equivalent work experience.
Minimum 3 years of experience in data analytics, analytics engineering, BI, data engineering, risk analytics, or software development.
Strong SQL skills with a track record of writing complex analytical queries.
Proficiency in Python for data processing and pipeline development.
Experience with Tableau and Alteryx or comparable BI and data preparation tools.
Experience with Git, version control, pull requests, and modern development workflows.
Exposure to dbt and workflow orchestration tools such as Airflow, Dagster, or Prefect.
Experience with cloud platforms including AWS, Azure, Databricks, or Snowflake.
Solid understanding of data modeling concepts including 3NF and Star Schema.
Knowledge of statistics and analytical methodologies.
Strong communication and stakeholder management skills.

Background in Financial Services domains such as trading, clearing, risk management, or capital markets.
Experience supporting analytics environments at enterprise scale.

Senior Data Analytics Engineer

Job Description