Business Intelligence Analyst (BigQuery & Looker)

Durham, NC, US • Posted 1 day ago • Updated 1 day ago
Contract W2
On-site
$65 - $75/hr
Fitment

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Job Details

Skills

  • Business Intelligence
  • Google Cloud Platform
  • Data Visualization
  • SQL
  • BigQuery
  • LookML
  • dashboards
  • Churn
  • Telecom
  • GCP
  • Google Cloud
  • Dashboard
  • Analytics
  • Reporting
  • Migration

Summary

Business Intelligence Analyst Location: Raleigh Durham, NC (Primarily Onsite)
Duration: ~6 Months Contract
Organization: Google G Fiber
Team: CE Strategy & Operations Churn Management

About the Role

We are seeking a Business Intelligence Analyst to support churn analytics and reporting initiatives within the G Fiber organization. This role is a hands-on, execution-focused position responsible for building scalable data solutions and migrating legacy reporting into the Google Cloud Platform (Google Cloud Platform).

Key Responsibilities

  • Build and maintain data pipelines using SQL
  • Design, create, and manage structured tables in BigQuery
  • Develop dashboards, reports, and Looker views aligned with business requirements
  • Rebuild and migrate legacy reporting into Google Cloud Platform (BigQuery + Looker)
  • Perform ad-hoc churn and customer behavior analysis
  • Collaborate with BI and data teams to refine or source required datasets
  • Work with granular, large-scale datasets (millions of rows, account-level data)

Required Qualifications (Must-Have)

  • Strong proficiency in SQL (Google SQL or similar dialects)
  • Hands-on experience with BigQuery (table creation, querying large datasets)
  • Proven experience with Looker, including:
    • LookML
    • Semantic layer
    • Dashboard/report development
  • Experience working with large, complex datasets
  • Ability to analyze granular, timestamp-level data
  • Demonstrated ability to build data solutions end-to-end (not just analysis)

Preferred Qualifications

  • Experience in telecom, ISP, or subscription-based businesses
  • Exposure to churn, retention, or customer lifecycle metrics
  • Strong understanding of data visualization best practices
  • Experience supporting business decision-making through BI tools

Ideal Candidate Profile

  • 3 8 years of experience (up to ~10 years if highly hands-on)
  • Equivalent to mid-level (L4) strong executor, not overly senior
  • Builder mindset: creates, owns, and delivers data assets
  • Comfortable working independently with minimal oversight
  • Able to quickly adapt to evolving business requirements

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: 10440622
  • Position Id: 8915101
  • Posted 1 day ago
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