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Permanent Nhl Data Analytics Jobs (NOW HIRING)

Data Analytics Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

***We are unable to sponsor as this is a permanent full-time role*** ***Hybrid, 3 days onsite, 2 days ... Design and maintain company analytics solutions drawing from both raw and semantic data layers

As a Data/Analytics Engineer in this permanent role, you will join our data analytics team to drive the evolution of our data platform and execute critical data projects: Data Architecture and ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

***We are unable to sponsor for this permanent full-time role*** ***Position is bonus eligible*** Prestigious Financial Company is currently seeking a Data Analytics Engineer. Candidate will join a team ...

Drive Enterprise Data Analytics and Reporting roadmap, aligning initiatives with company-wide ... S. citizens or permanent residents. Exceptions to these requirements will be determined based on ...

The Senior Manager, Data & Analytics Platform is responsible for leading a team that provides ... on a permanent basis. We are unable to support or consider candidates on temporary work ...

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Data Analytics Engineer

Data Analytics Engineer

Request Technology, LLC

Chicago, IL • Hybrid

$118K - $141K/yr

Other

Posted 12 days ago


Job description

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

Responsibilities:

  • Design and maintain company 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:

  • 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
  • 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
  • Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.
  • Comfortable supporting business analysts on high-priority projects
  • 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)
  • Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake