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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

Analyze operational data to identify trends, inefficiencies, and improvement opportunities across ... Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).

Analyze operational data to identify trends, inefficiencies, and improvement opportunities across ... Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).

Data/Analytics Engineer

Westminster, CO · On-site

$122K - $168K/yr

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 ...

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Permanent Nhl Data Analytics information

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Data Analytics Engineer

Data Analytics Engineer

Request Technology, LLC

Chicago, IL • Hybrid

$118K - $141K/yr

Other

Posted 10 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