Data Insight Engineer

2 weeks ago


Greenwood Village, United States Insight Global Full time

***MUST BE ELIGIBLE TO WORK W2 PER CLIENT REQUIREMENTS***


Pay Rate: $60-$70/hour

Duration: Contract through 12/31/24; extensions highly likely

Location: Hybrid in Greenwood Village, CO - 3 days onsite, 2 days remote


MUST HAVES:

  • 3-5+ years of Data Engineering
  • Python
  • SQL
  • Hive/HiveQL/HQL
  • AWS
  • Strong analytical mindset
  • Innovative perspective


PLUSSES:

  • Code development - YAML, Git
  • Previous cable/telecom background


RESPONSIBILITIES:

Our client is a Fortune 100 telecommunications company, and their Data Insights organization is looking for analytical, innovative, and creative data engineers to join their team responsible for deriving analytics from their video streaming applications and devices.


This role combines the responsibilities of a Business Analyst, Data Analyst, and Quality Assurance Tester. The Data Insights Engineer will play a central part in analyzing business requirements, defining analytics for new product features and acceptance criteria, managing project delivery, leveraging data insights, and validating solutions.


On a day-to-day basis, candidates will:

  • Leverage both qualitative and quantitative data to get a complete picture of the customer experience.
  • Utilize Jira to write complex user stories that capture the needs of our customers to drive in-depth video-product usage analytics.
  • Translate user data into actionable insights that create value.
  • Work closely with cross-functional teams to define metrics, track progress, and ensure our products meet the evolving needs of the user base.
  • Oversee test analytics to track testing trends, monitor error rates, and ensure high-quality product implementations.
  • Work closely with the development and QA teams and develop comprehensive test plans, document test cases and results, and partner to troubleshoot issues.


Time allocation:

Business Analysis (40%)

  • Elicit, analyze, and document comprehensive business and user requirements
  • Develop detailed process flows, use cases, and other analytical artifacts to support solution design
  • Utilize project management software like Jira to write complex user stories that capture the needs of our product’s feature set
  • Work closely with cross-functional teams to define acceptance criteria, acceptance tests, and analytics requirements for each user story
  • Serve as the primary product owner, managing the analytics SDK’s backlog and represent the requirements for all new capabilities
  • Work closely with the development team to prioritize features, refine requirements, and ensure end-to-end delivery


Data Analysis (30%)

  • Collect, analyze, and interpret complex data sets from various sources, including video-product usage analytics
  • Leverage data insights to inform business decisions and drive product enhancements
  • Design and implement reporting dashboards and utilize analytics tools to uncover new insights


Testing & Validation (30%)

  • Develop and execute comprehensive test plans to validate functionality and quality
  • Utilize test analytics to track trends, monitor errors, and ensure high-quality releases
  • Partner with developers to troubleshoot issues and drive continuous improvement



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