Senior Data Analytics Engineer

Chicago, IL, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
USD $40.00 - 50.00 per hour
Fitment

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Job Details

Skills

  • Decision-making
  • Semantics
  • Dashboard
  • Data Quality
  • Collaboration
  • Finance
  • Reporting
  • Data Analysis
  • Data Engineering
  • Software Development
  • SQL
  • Writing
  • Python
  • Data Processing
  • Tableau
  • Alteryx
  • Business Intelligence
  • Git
  • Workflow
  • Orchestration
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Databricks
  • Snow Flake Schema
  • Data Modeling
  • Star Schema
  • Statistics
  • Analytical Skill
  • Communication
  • Stakeholder Management
  • Financial Services
  • Trading
  • Risk Management
  • Capital Market
  • Analytics

Summary

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.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91134517
  • Position Id: 39064520f3a5d36db2105c1aa28062c8
  • Posted 5 hours ago
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