Note: The job is a remote job and is open to candidates in USA. InfoStride is seeking a Staff / Lead Data Analyst / Analytics Engineer to partner with a client's Monetization Data Science & Analytics team. The role independently solves complex business problems and leads end-to-end initiatives spanning monetization analytics, data engineering, modeling, experimentation, and visualization. The position also owns data quality and pipeline performance, builds executive dashboards, and mentors analysts and analytics engineers.
Responsibilities
- Partner with Data Science, Product, and Engineering leaders on monetization and revenue analytics
- Define and govern KPIs, metrics, funnels, cohorts, and experiment readouts
- Lead analytics projects end-to-end, from business question through data model, pipeline, analysis, and dashboard
- Build and optimize production SQL pipelines using Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, or Redshift
- Design and operate Airflow DAGs, data models, data cubes, and semantic layers
- Own data quality, reconciliation, observability, and pipeline performance
- Build executive dashboards using Tableau and/or Superset
- Conduct root-cause analysis and independently resolve data discrepancies
- Mentor analysts/analytics engineers and raise technical and analytical standards
Skills
- 9+ years in Data Analytics, BI, Analytics Engineering, or related roles
- 3+ years at Senior level or above, ideally in high-scale tech, ads-tech, marketplace, fintech, or digital media
- Expert SQL and strong large-scale data engineering experience
- Hands-on experience with 2+ modern data platforms such as Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, or Redshift
- Advanced Airflow or equivalent orchestration experience
- Strong data modeling, ETL/ELT, pipeline optimization, and data-quality expertise
- Strong Tableau/Superset experience
- Experience with KPI design, experimentation, funnel/cohort analysis, and root-cause analysis
- Strong communication, stakeholder management, mentoring, and technical leadership skills
- US timezone preferred; must overlap full US Pacific business hours
- Proficiency in Python/PySpark ; dbt is preferred
- Digital advertising / monetization experience with revenue, impressions, clicks, CTR, CPM, CPC, CVR, ROAS, attribution, or incrementality
- Experience at companies such as Pinterest, Meta, Google, Amazon, Uber, DoorDash, Snap, TikTok, LinkedIn, Airbnb, or Instacart
- Experience with metric governance, semantic layers, data catalogs, or analytics platforms
- Strong experimentation and statistics background
Benefits
- Contract role
- Remote work arrangement
- US timezone preferred with overlap during full US Pacific business hours
- Mentorship and technical leadership opportunities
Company Overview