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US_East | Data Analyst_L2
Datum Software, Inc
- 🇮🇱 Israel
- On-site
- Senior
- 1 month ago
- SQL
- PySpark
- Python
- Excel
- Metabase
- Tableau
- Looker
- Data Modeling
1 month ago
Work Location: United States – Remote)
Role Overview
The Senior Data Analyst will support reporting, measurement, and analytics initiatives for *** customers. This position will collaborate closely with Customer Success, Product, and Engineering teams to transform complex data into meaningful business insights.
The role will primarily focus on developing visualizations, dashboards, reports, and analytical frameworks that enable customers to better understand their data, measure marketing performance, optimize campaigns, and make informed, data-driven decisions.
Key Responsibilities:
- Lead measurement initiatives and develop KPIs, measurement frameworks, and learning plans aligned with customer marketing objectives.
- Develop, implement, and maintain analytics systems, tools, and frameworks that enable efficient and scalable customer analysis.
- Design approaches for observational analytics, including mining and analyzing large, multidimensional datasets.
- Apply experimental and statistical methods to develop reusable analytical templates and libraries that can scale across multiple customer use cases and industry verticals.
- Work hands-on with customer data to generate actionable insights, answer key business questions, and support campaign optimization.
- Identify opportunities to improve marketing effectiveness, operational efficiency, and analytical productivity.
- Design and create rich, compelling data visualizations, dashboards, and reports.
- Translate complex analytical findings into clear business insights and recommendations.
- Work directly with customer stakeholders to gather requirements, communicate project updates and findings, and build strong working relationships.
- Collaborate cross-functionally with internal and external stakeholders to translate product requests into analytical features and business requirements.
- Analyze large-scale datasets and optimize Spark jobs, Spark SQL queries, and PySpark models.
- Manage multiple analytical projects while consistently delivering accurate, high-quality, client-ready reports and presentations.
- 5+ years of experience in analytics or data science, with strong expertise in measurement and attribution.
- Bachelor's degree in Statistics, Economics, Engineering, Computer Science, or another quantitative field.
- AdTech industry experience is required.
- Strong hands-on experience with SQL, Python, Excel, and statistical analysis methods.
- Proven experience creating and presenting data-driven dashboards and presentations that effectively communicate a story through insights.
- Hands-on experience with Metabase, Tableau, and Looker.
- Strong understanding of data modeling techniques and the ability to explain complex concepts to both technical and non-technical audiences.
- Strong understanding of large-scale data analysis.
- Experience with Spark job fine-tuning and optimization.
- Strong experience optimizing Spark SQL and PySpark models.
- Excellent verbal and written communication skills with experience working in client-facing environments.
- Ability to present complex analyses to large, non-technical audiences while adapting communication for technical stakeholders when necessary.
- Strong cross-functional collaboration skills with the ability to work effectively with internal teams, external customers, and stakeholders.
- Ability to translate product requests into features and analytical findings into measurable business objectives.
- Strong attention to detail and excellent time-management skills.
- Ability to independently manage analytical work and deliver high-quality results across multiple concurrent projects.
- Demonstrated ability and willingness to quickly learn and adopt new technologies.
- Self-starter with strong energy, creativity, ownership, and passion for delivering results.
“All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”
US_East | Data Analyst_L2 · Datum Software, Inc