Premier western sports and entertainment company — uniting arena, screen, and story in one powerful ecosystem
Data Engineering, Analytics Contractor
Location
United States
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Data Engineering, Analytics Contractor
Teton Ridge
• Maintain and distribute weekly/monthly streaming performance dashboards (DAU, MAU, stickiness, logged-in rate, avg. session time) for biweekly stakeholder meetings • Meet with key stakeholders to define target metrics for their teams and reverse-engineer solutions using available pipeline data • Support ad-hoc data requests from leadership as they arise • Monitor and maintain ETL connectors across marketing and social platforms (Facebook Pages, Instagram Business, YouTube Analytics, Google Ads, Tiktok, and more) • Administer automated data transfer jobs in BigQuery, including scheduling management and backfill resolution and maintenance for if/when they break • Serve as subject-matter-expert on data pipeline architecture across cloud data platforms, including data lineage, source systems, and reporting caveats • Partner with revenue operations, social, and marketing teams on performance data audits and dashboard maintenance • Own subscription reporting structures, auditing existing pipelines and developing new ones to support streaming platform analytics • Maintain and enhance custom scripts and queries as business needs evolve (scheduled in GBQ) • Provide cross-functional project management for technical and data initiatives across teams • Pull and reconcile web/app analytics data (GA4) with video platform metrics (JW Player) for subscriber and audience analysis • Develop and maintain DAU/MAU reporting methodology, including documenting data limitations and ensuring appropriate caveats in all stakeholder reporting • Field stakeholder questions on viewing patterns across devices and platforms (Roku, CTV, mobile, web) using combined analytics sources • Coordinate with engineering partners on data sync issues between cloud platforms • Push updated pipeline outputs from BigQuery into downstream data platforms as needed • Troubleshoot and resolve cross-cloud data transfer issues, ensuring outputs are configured correctly to maintain pipeline reliability
Job Requirements
- 5+ years of experience in data analytics, business intelligence, data engineering, or a related field.
- Strong proficiency in SQL, including experience writing and optimizing complex queries in large-scale data environments.
- Hands-on experience with cloud-based data warehouses, preferably Google BigQuery.
- Experience maintaining and troubleshooting ETL/ELT pipelines and automated data workflows.
- Working knowledge of digital analytics platforms, including Google Analytics 4 (GA4).
- Experience integrating and analyzing data from multiple sources, including advertising, social media, subscription, and web analytics platforms.
- Proven ability to develop executive-level dashboards, reports, and performance metrics.
- Experience documenting data definitions, methodologies, and reporting caveats for business stakeholders.
- Strong project management and organizational skills, with the ability to manage multiple priorities simultaneously.
- Excellent communication skills and ability to translate technical concepts into actionable business insights.
- Ability to work independently with minimal supervision and quickly learn new systems and business processes.
Benefits
- Equity employer
- Equal Opportunity Employer (EEO)
- Paid time off
- Remote work flexibility
- Professional development opportunities
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