12-15 years of experience in analytics or data science, with expertise in measurement and attribution
3-5 years' experience in AdTech industry
Skilled in measurement, attribution, funnel analysis, and developing client ready dashboards in SQL, Python, Excel, Tableau, and Sigma
Proven track record of creating and presenting data-driven dashboards and presentations
Requirements:
Lead measurement initiatives; develop KPIs and learning plans for customers
Develop, implement, and maintain analytics systems, tools, and frameworks for efficiency
Design approaches for observational analytics and experimental methods
Get hands-on with customer data to drive insights and enable campaign optimization
Job description
Job Title: Senior Data Analyst Location: Remote
Required Skills
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.
Core Responsibilities
Lead measurement initiatives; develop KPIs and learning plans for customers in support of their marketing objectives
Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient analysis for customers
Design approaches for observational analytics – including mining multi-dimensional datasets – and experimental methods to build templates and libraries of analysis that can scale across many different customer use cases and verticals
Get hands-on with customer data to drive insights, answer key business questions, and enable campaign optimization. Identify and communicate areas to improve effectiveness, efficiency, and productivity.
Design and create rich, compelling visualizations with data
Speak and present both internally and externally, leveraging data to tell a story and effectively communicating complex analytical concepts to business and technical audiences.
Help design new offerings in the analytical space.
Design and develop insightful dashboards using a variety of data visualization tools to inform decision-making for both internal and external stakeholders.
