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High due to Tier-1 brand, popular Data Analyst title, mid-level experience band, and broad technical requirements.
Medium because core analytics skills transfer, but sales-domain knowledge and enterprise tooling increase specialization.
High because of an explicit 4-8 years requirement plus mandatory SQL, Snowflake, data modeling, and BI skills.
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Analyze and interpret large volumes of structured and unstructured sales, customer success, and renewals data to uncover actionable insights.
Develop, maintain, and optimize reports and dashboards using diverse data sources (Snowflake, EDW Teradata) ensuring timely delivery of key business metrics.
Collaborate with business and technical teams to design data models, apply data validation, and optimize data retrieval and visualization processes for scalability and performance.
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or related field.
4-8 years of relevant experience with at least 4 years focused on data analysis, reporting, and visualization.
Proficiency in SQL (Snowflake, SAP HANA) and experience with data querying, reporting, and visualization tools.
Good understanding of database systems, data modeling, and familiarity with cloud platforms (AWS, Azure, GCP).
Experienced in handling large datasets and modern analytics frameworks with a focus on Sales and Renewals data domains.
Knowledge or exposure to AI/ML concepts including large language models (LLMs), advanced analytics, and emerging data storage techniques like vector databases.
Comfortable working in a cross-functional environment bridging technical and business teams to drive data-driven decisions and innovation.