Senior Data Analyst
Listed on 2026-08-18
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IT/Tech
Data Analyst, Data Science Manager, Data Engineering
Senior Data Analyst
Client – Product Company Client is based out of three locations
- San Francisco, New York, Seattle, or Little Rock. Note – Remote is also ok if you find the right candidate, he will have to work in PST time zone. Note – This is a product company and they build complex market analysis platforms for very large clients mostly related to the market-media domain specialization.
- 12-15+ years of experience in analytics or data science, with expertise in measurement and attribution.
- 3-5 years experience in AdTech industry experience required; familiarity with the TV industry is a plus.
- 3-5+ years of experience in AdTech & Marketing Analytics.
- Skilled in measurement, attribution, funnel analysis, and developing client ready dashboards in SQL, Python, Excel, Tableau, and Sigma
- Hands on exposure to AdTech style analytics through campaign performance, subscription funnel modeling, and event stream data analysis.
- Analyzed campaign performance across Ad Spend, CAC, and impressions to evaluate acquisition efficiency; built Sigma dashboards and delivered recommendations that directly informed campaign scaling and budget allocation decisions.
- Proven track record of creating and presenting data-driven dashboards and presentations, effectively telling a story through insights, with hands-on experience in Metabase, Tableau, and Looker.
- Solid understanding of data modeling techniques, with the ability to explain complex concepts to different audiences.
- Ability to independently prepare analysis using SQL, Python, Excel, and statistical methods.
- Detail-oriented with strong time management skills, delivering high-quality, client-ready analytical reports across multiple projects.
- Comfortable presenting complex analyses to large, non-technical audiences, while also being able to adapt to effectively communicate with technical audiences.
Programming & Analytics : SQL, Python, Excel, PySpark, Airflow, Snowflake Business Intelligence & Storytelling :
Tableau (Certified), Sigma, Statistical Analysis, A/B Testing, Data Modelling
Certifications:
Tableau Certified Analyst (2020), Ongoing:
Databricks Academy
- Streaming & Lakeflow Declarative Pipelines Cloud & Big Data: AWS Cloud, Databricks
Senior Data Analyst with 9+ years of experience transforming event‐level and transactional data into clear, actionable insights across adtech, retail and fintech domains. Skilled in measurement, attribution, funnel analysis, and developing client‐ready dashboards in SQL, Python, Excel, Tableau, and Sigma. Strong communicator with experience storytelling to both technical and non‐technical audiences. Hands‐on exposure to AdTech‐style analytics through campaign performance, subscription funnel modeling, and event‐stream data analysis.
TechStack
Programming & Analytics : SQL, Python, Excel, PySpark, Airflow, Snowflake Business Intelligence & Storytelling :
Tableau (Certified), Sigma, Statistical Analysis, A/B Testing, Data Modelling
Certifications:
Tableau Certified Analyst (2020), Ongoing:
Databricks Academy
- Streaming & Lakeflow Declarative Pipelines Cloud & Big Data: AWS Cloud, Databricks
Structured multi-platform event data (iOS, Android, Web) into Snowflake models tracking the full user journey
- View → Click → Purchase - identifying conversion drop-offs and delivering funnel insights to product and marketing stakeholders. Analyzed campaign performance across Ad Spend, CAC, and impressions to evaluate acquisition efficiency; built Sigma dashboards and delivered recommendations that directly informed campaign scaling and budget allocation decisions. Unified fragmented marketing event streams into a consolidated attribution model delivering ~$300K annual cost savings.
Built iOS conversion forecasting model and multi-touch attribution logic to estimate ad conversions across partner and campaign levels. Presented findings, A/B test outcomes to senior business stakeholders and non-technical leadership tailoring storytelling to audience needs. Fintech & Insurance:
Designed customer identity and analytical models integrating multi-source…
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