Sr Associate Data Analytics & Reporting

ROLES & RESPONSIBILITIES

• Develop, maintain, and enhance standardized dashboards, scorecards, and reports supporting EHS and EOS governance, operational performance, compliance monitoring, and business decision-making.
• Design and implement interactive reporting solutions using Power BI, Tableau, and Microsoft Fabric to provide actionable business insights.
• Integrate and transform data from Enterprise Data Lake (EDL), Databricks, enterprise applications, and other data sources to create scalable reporting and analytics solutions.
• Build and maintain datasets, semantic models, and reporting layers that ensure consistent KPI calculations and reporting standards across EHS and EOS.
• Establish, maintain, and continuously improve the EHS and EOS KPI Registry, including KPI definitions, business rules, calculations, ownership, targets, thresholds, source systems, and reporting governance.
• Define, document, and maintain leading and lagging indicators that support proactive risk management, operational performance monitoring, and compliance reporting.
• Support the Data Analysis and Reporting Lead in managing and maintaining SharePoint sites, reporting content, document libraries, permissions, and data resources; requires proficiency in SharePoint administration, information architecture, data organization, access management, and stakeholder support.
• Ensure analytics and reporting solutions are accurate, traceable, validated, and audit ready.
• Perform data validation, reconciliation, and quality checks to ensure data integrity and reporting reliability.
• Translate business, operational, compliance, and stakeholder requirements into reporting and analytics solutions.
• Analyze data to identify trends, performance gaps, risks, opportunities, and emerging signals that support continuous improvement initiatives.
• Develop executive-level reporting, management scorecards, and ad-hoc analytics to support strategic and operational decision-making.
• Collaborate with Systems, Master Data Management, Data Engineering, and Technology teams to improve data quality, governance, and reporting capabilities.
• Support reporting governance processes, KPI standardization, metric alignment, and reporting best practices.
• Identify opportunities to automate reporting processes, streamline workflows, and improve reporting efficiency through analytics and technology solutions.
• Create and maintain reporting documentation, data dictionaries, KPI definitions, and process documentation to support sustainable operations and knowledge management.
• Engage stakeholders across Engineering, EHS, EOS, Operations, Quality, Compliance, and Technology organizations to ensure reporting solutions meet business needs and drive adoption.
• Interpret data using sound analytical methods and business context to provide meaningful recommendations and actionable insights.

BASIC QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Business Analytics, or related fields.
• 5–9 years of experience in business intelligence, analytics, reporting, data visualization, or data management roles.
• Hands-on experience developing dashboards and reporting solutions using Power BI and Tableau.
• Experience developing KPI frameworks, metric definitions, reporting standards, and governance processes.
• Experience integrating and analyzing data from multiple enterprise systems and data sources.
• Demonstrated experience translating business requirements into reporting and analytics solutions.
• Experience performing data validation, quality assurance, and reporting controls within a regulated environment.
• Ability to work on site in Hyderabad and collaborate with stakeholders across global time zones when required.

PREFERRED QUALIFICATIONS & SKILLS

• Advanced expertise with Power BI, Tableau, Microsoft Fabric, and Databricks analytics environments.
• Experience building and maintaining KPI registries, metric catalogs, data dictionaries, and reporting governance frameworks.
• Strong understanding of leading and lagging indicators, operational performance metrics, and risk-based reporting methodologies.
• Experience supporting EHS, Engineering, Facilities, Manufacturing, Operations, or Quality business functions.
• Experience working with EHS platforms such as Cority, Sphera, Enablon, or similar systems.
• Knowledge of enterprise data governance, master data management, and data quality best practices.
• Strong stakeholder management and collaboration skills with the ability to influence without direct authority.
• Excellent verbal, written, and presentation communication skills.
• Demonstrated ability to manage multiple priorities and deliver results in a fast-paced global environment.
• Experience supporting continuous improvement, automation, and digital transformation initiatives.
• Familiarity with AI-enabled analytics, predictive reporting, and advanced visualization techniques.
• Experience working across regions and time zones with global stakeholder teams.

PROFESSIONAL CERTIFICATIONS

EQUAL OPPORTUNITY STATEMENT

Work Hours