JPMorgan Data Scientist Lead - Analytics 

India, Karnataka, Bengaluru 

403285755

Job Responsibilities:

• Develop the analytics framework and data infrastructure necessary to support the platform team in evaluating value addition.
• Define and assess the OKRs and goals related to the platform's performance.
• Provide top-tier business intelligence through dashboards and executive reporting to the Acquisitions Center of Excellence and Line of Business leadership.
• Construct business cases that drive prioritization and investment in Acquisition & Enablement Platforms.
• Communicate effectively with product, technology, data, and design teams to identify and advance a data-driven analytical roadmap.
• Serve as the Acquisition Center of Excellence Analytics local site lead, overseeing local operations and contributing to the expansion of the team's presence in India.

Required Qualifications, Capabilities, and Skills:

• 5+ years leveraging data visualization tools for data exploration and marketing performance evaluation.
• Proven ability to lead and manage teams effectively, showcasing strong leadership skills.
• Experience in querying big data platforms and SAS/SQL.
• Comfort building and managing relationships with both analytics and business stakeholders.
• Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders.
• Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.).
• Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners.
• Bachelor’s degree is required, with data science, mathematics, statistics, econometrics, engineering, MIS, finance, or related fields accordingly.

Preferred Qualifications, Capabilities, and Skills:

• Financial services experience preferred.
• Tableau experience preferred.
• Familiarity with Teradata, AWS, & Snowflake preferred.