Azaaki, LLC

Business Intelligence Analyst (BigQuery & Looker)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst (BigQuery & Looker) in Raleigh–Durham, NC, for a ~6-month contract, paying $65.00 - $75.00 per hour. Key skills include SQL, BigQuery, Looker, and experience in telecom or subscription-based industries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
March 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Durham, NC 27701
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🧠 - Skills detailed
#Scala #SQL (Structured Query Language) #BigQuery #Datasets #Cloud #GCP (Google Cloud Platform) #Strategy #BI (Business Intelligence) #Visualization #Data Pipeline #Looker
Role description
Business Intelligence Analyst Location: Raleigh–Durham, NC (Primarily Onsite)Duration: ~6 Months ContractOrganization: Google – G FiberTeam: 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 (GCP). 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 GCP (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 Job Type: Contract Pay: $65.00 - $75.00 per hour Work Location: In person