Data Analytics Engineering - Tableau / Alteryx

Hybrid in Chicago, IL, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
Hybrid
$115,000 - $120,000/yr
Fitment

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Job Details

Skills

  • Alteryx
  • Data Analysis
  • Data Science
  • Finance
  • Python
  • SQL

Summary

NO SPONSORSHIP - NO OPT

Senior Associate, Data Analytics Engineering

SALARY: $117k - $120k plus 10% bonus

LOCATION: CHICAGO, IL

HYBRID: 3 days on site

3 years plus experience as a data engineer / software engineer. Looking for a data scientist with financial risk analyst experience, business intelligence analyst, complex analytical experience.

Responsibilities:

    • Design and maintain analytics solutions drawing from both raw and semantic data layers
    • Partner with business units to gather requirements and develop targeted analytics solutions
    • Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
    • Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
    • Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
    • Identify and distribute data and analytics best practices across the team
    • Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
    • Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools
    • Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure
    • Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualifications:

Technical Skills:

    • Ability to write and optimize complex analytical (SELECT) SQL queries
    • Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
    • Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)
    • Experience with a source code version control repository system, branch management, pull requests (preferably Git)

Education and/or Experience:

    • [Required] Bachelor's or Master s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience
    • [Required] 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
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: napil006
  • Position Id: 8902952
  • Posted 10 hours ago
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