Senior Data Analyst
NewInactive
C
CleraAdTech
Hybrid preferred across Little Rock, AR; San Francisco, CA; New York, NY; or Seattle, WA. Fully remote arrangements may be considered for exceptional candidates., Must be available during Pacific Standard Time business hours.Full-TimeSenior
This job is no longer active. We keep the page for reference, but the employer may not accept new applications.
SalaryAt least 135,200 USD per year
Job Details
- Experience
- 9+ years
- Required Skills
- PythonSQLTableauMicrosoft ExcelData modelingLooker
Requirements
- 9+ years of experience in analytics or data science, with demonstrated expertise in measurement and attribution methodologies.
- Bachelor's degree in a quantitative field such as Statistics, Economics, Engineering, or Computer Science.
- Hands-on proficiency with SQL and Python for independent data analysis, querying, and statistical modeling.
- Experience building and maintaining dashboards and reporting frameworks using tools such as Metabase, Tableau, and/or Looker.
- Solid understanding of data modeling techniques.
- Proven AdTech industry experience, including familiarity with Clean Room technologies and data collaboration platforms.
- Experience designing and implementing measurement frameworks, KPIs, and attribution models for marketing campaigns.
- Strong client-facing communication skills with a track record of presenting complex analyses to both technical and non-technical audiences.
- Proficiency in Excel for data analysis and report preparation.
- Must be available during Pacific Standard Time business hours.
Responsibilities
- Develop visualizations, dashboards, and reports that help customers understand their data and make data-driven decisions.
- Lead measurement initiatives by developing KPIs and learning plans aligned with customer marketing objectives.
- Design and implement analytics systems, tools, and frameworks that enable efficient analysis at scale across customer use cases and verticals.
- Surface insights from customer data, answer key business questions, and identify opportunities for campaign optimization.
- Design approaches for observational analytics, including multi-dimensional dataset mining and experimental methods.
- Work directly with customer stakeholders to gather requirements, communicate findings, and build lasting relationships.
- Present insights to internal and external audiences, translating complex analytical concepts for both business and technical stakeholders.
- Collaborate with Product and Engineering teams to understand measurement products and help shape new analytical offerings.