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Tier-1 brand, popular mid-level data role, metro location, and broad technical skill requirements.
Core data analytics skills are transferable, but retention-analytics domain adds moderate specialization.
Explicit years (2-3/3-5) plus mandatory Databricks, SQL, Python technical requirements.
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Lead problem structuring, analysis, and implementation of strategic initiatives impacting client retention across Gartner’s products and services.
Partner with data scientists and engineers to develop scalable analytics solutions driving improved client retention and business insights.
Own and deliver projects involving content, interaction, events analytics, demand sensing, staffing models, cost reporting, and performance analytics with stakeholder engagement.
Experience: 2-3 years for Data Analyst or 3-5 years for Sr. Data Analyst involving large data analysis with strong analytical tool proficiency.
Education: Bachelor's degree with quantitative focus (e.g., statistics, data science, mathematics, engineering, operations research, computer science, or economics).
Technical skills: Competency in Python, Databricks, SQL, Advanced Excel, PowerPoint, and statistics required.
Work Experience Required: 2-5 years as per level; Notice Period: Not explicitly mentioned in the JD.
Experienced in translating complex data into actionable business insights to improve client retention and operational efficiency.
Able to independently manage multiple project workstreams while collaborating with cross-functional teams including IT and leadership.
Strong analytical skillset combined with business acumen to engage stakeholders and influence strategic decision making.