Specialist Data Solution Analyst

Overview

Translate functional data and analytic requirements into solutions for business and technology requestors, using approved reporting and visualization technologies, and guide others in self-service analytics.

What you'll do

• Elicit reporting and analytic requirements from business and technology requestors to generate visualization or analysis.
• Support implementation of data requirements and practices for an assigned area.
• Apply secure software and systems engineering practices throughout the delivery lifecycle to protect data and technology solutions from threats and vulnerabilities.
• Under supervision, create and execute standard visualization techniques.
• Use visualization and analysis techniques to present findings of data exploration exercises to stakeholders.
• Map the flow of data and the business processes and/or technical interfaces that would be created or impacted, and recommend solutions or adaptations.
• Collaborate with others to implement standardized data reporting, analytics, and visualization tools.
• Work on profiling, mapping, and modeling tools.
• With guidance, partner with others on projects requiring data visualization.
• Collaborate across teams and adhere to company standards.
• Perform other responsibilities as assigned.

What you'll need

• Undergraduate studies in computer science, management information systems, business, statistics, math, a related field, or comparable experience and education.
• Two to five years of relevant experience with data management, organization, or analytics practices.
• Experience with data visualization tools, reporting, and self-service analytic techniques.
• Experience in data acquisition and data wrangling.
• Strong SQL skills for querying, validating, and analyzing large datasets.
• Experience with Power BI or Tableau for dashboards and reporting.
• Ability to perform trend, variance, and root-cause analysis.
• Understanding of data quality checks (completeness, accuracy, reconciliation).
• Familiarity with tools like Alation, Anamalo, Manta, or similar data governance/DQ tools.
• Experience gathering and clarifying business requirements.
• Ability to translate business questions into clear metrics and insights.
• Strong data storytelling and communication skills.
• Comfortable working with both technical and non-technical stakeholders.
• Experience working with Snowflake, Databricks, or similar cloud data platforms.
• Ability to analyze data produced by ETL pipelines (no heavy ETL development required).

Nice to have

• Insurance, payroll, or financial data domain experience.
• Exposure to data governance or metadata concepts.
• Basic Python or Excel automation skills.
• Insurance/financial services industry knowledge.
• Graduate studies in business, statistics, math, computer science, or a related field.

Details

• Reports to Technology Leader – India.
• Working hours aligned to India business hours with flexibility for global collaboration.
• Location flexibility: Hybrid/Remote/In-office with periodic in-office collaboration.