Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance
Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management
Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices.
Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines
Analyze the data using tools like SQL, Alteryx, and Databricks.
Design and execute new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specification
Respond to onshore team/client questions around the data and insights
Translates complex technical concepts such as screener logics, dashboard workflows, and research methodologies into clear explanations for internal teams and client facing discussions
Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed
Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients

Graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university
Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research.
2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics.
Hands-on experience in managing end-to-end customer surveys, data analysis and visualizations.
Extensive hands-on experience with Tableau, with strong command of dashboard design, interactivity, and performance optimization.
Proven experience using Alteryx for data prep, transformation, and validation at scale.
Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data.
Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks.

Product Operation Manager

Key skills