Assurant Warranty Solutions (India) Private Limited

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><body> Sr. Business Unit Data Analyst, Assurant-GCC, IndiaThis role supports data quality, validation, and process monitoring across the SSP platform. The individual will help ensure data is accurate, consistently understood, and reflective of the business processes it represents. Working across multiple domains, the role is responsible for identifying and analyzing data discrepancies, contributing to the development of data definitions, and supporting the implementation of business controls to detect issues early. The position also collaborates with internal stakeholders and clients to clarify data meaning, support control needs, and help maintain the integrity of SSP’s shared platform environment.This position requires strong SQL, analytical and computer skills, attention to detail, a positive professional attitude, the ability to work in a team environment, and, from time to time or as business dictates, longer work weeks and extended hours. This position will be in Bengaluru, Chennai, Hyderabad at our India location. The Working Timing will be 3:30 PM IST – 12:30 AM IST. What will be my duties and responsibilities in this job? <ul><li>Develop and Maintain the Data Definition Layer: Using SQL and write stored procedures to help build and manage a structured Data Definition Layer that clarifies the meaning, use, and expected behavior of key SSP data elements across domains.</li><li>Drive Data Quality and Integrity: Analyze SSP data and write SQL stored procedures to proactively identify inconsistencies, anomalies, and gaps that could impact operational accuracy, client deliverables, or platform health.</li><li>Validate System Behavior Through Data: Write SQL Stored Procedures to trace how SSP processes and decisions are reflected in the data, confirming that the system is operating as intended and escalating discrepancies for investigation or correction.</li><li>Design, Implement, and Oversee Data Controls: Write SQL stored procedures to create business controls that monitor key processes, detect systemic issues early, and trigger alerts for operational review and correction. Provide ongoing oversight to ensure controls stay effective as SSP evolves.</li><li>Collaborate with Business and Technical Teams: Partner with Product Owners, Operations, and Technology teams to ensure a common understanding of SSP data. Proactively engage with Product Owners to assess data-related impacts of upcoming changes and mitigate potential risks before deployment.</li><li>Monitor Platform Health and Mitigate Risk: Continuously monitor SSP data and controls to identify systemic issues early, prevent widespread impacts across the shared platform, and reduce operational and client risk.</li><li>Support Root Cause Analysis and Continuous Improvement: Investigate the root causes of data issues, recommend enhancements to processes or system logic, and strengthen overall data validation and control frameworks.</li><li>Document Known Data Behaviors and Issues: Maintain comprehensive documentation of validated data behaviors, known data quality issues, and special conditions to make data use across SSP consistent and transparent.</li><li>Support Strategic Data Initiatives: Participate in larger initiatives aimed at improving SSP’s data infrastructure, building proactive quality monitoring, enhancing alerting systems, and expanding operational visibility.</li><li>Collaborate with Clients on SSP Data Needs: Partner with clients who request specific SSP data for their internal controls or risk monitoring needs, ensuring data definitions are clearly understood and consistently applied, while working closely with internal teams to maintain data quality and protect platform standards.</li></ul> What are the requirements needed for this position?  Overall 4+ Years of Work Experience <ul><li>Bachelor’s degree in computer science, Engineering, Information Technology, Data Analytics or related field preferred or equivalent work experience</li><li>Strong analytical skills, with 3-4 years of experience that include analyzing data or building data models to support reporting and/or analytics.</li><li>Strong working knowledge of the Office suite (Excel, Word, Access, PowerPoint, SharePoint)</li><li>Excellent verbal and written communications skills</li><li>Strong presentation skills, to include presentation construction and design and presentation delivery</li><li>Ability (and preference) to work in an agile environment.</li><li>Must be willing to work extended hours when necessary to achieve objectives and goals</li></ul> What are the Preferred Skills required for this position?  <ul><li>Individual contributor with leadership skills to drive actions</li><li>Strong skills in developing transactional SQL procedures to populate data tables.  Experience working in a large table environment is a plus.</li><li>Knowledge of data models and query tools</li><li>Ability to create information out of raw data</li><li>Ability to write Data Definition Language or Data Manipulation Language SQL commands</li><li>Ability to improve data quality and design or present conclusions gained from analyzing data Passion for connecting the dots (Data to the Bottom line)</li><li>Prior experience developing SQL procedures in Operations or Finance domain is a plus </li><li>Ability to analyze problems and provide recommendations</li><li>Ability to collaborate within and outside of the team</li><li>Ability to deliver results with minimum supervision</li><li>Ability to think innovatively</li><li>Power BI experience a plus</li><li>Strong critical thinking skills</li><li>High degree of curiosity. desire to learn and loves to get into the detail</li><li>Strong communication skills - written and verbal</li><li>Making sound decisions with minimal supervision</li><li>using statistical tools like Microsoft Excel, SAS, SPSS and others</li><li>Ability to create process/work flows</li><li>2+ years' experience in Insurance Tracking is preferred</li></ul></body></html>

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