NRG is looking to transform complex data into actionable insights that influence executive decision-making, drive operational excellence, and shape long-term business strategy.
Requirements
- High proficiency in SQL (query writing, joins, subqueries, optimization, stored procedures)
- Strong experience with Power BI (data modelling, dashboard architecture)
- Familiarity with data warehousing concepts is a plus
- Experience with other BI or data visualization tools (e.g. Tableau)
- Background in predictive analytics, machine learning, or statistical modelling
- Experience working with large datasets from CRM or billing systems
- Knowledge of data governance frameworks and compliance standards
Responsibilities
- Architect and optimize complex SQL queries to extract, transform, and analyze data from multiple enterprise systems, ensuring performance and scalability.
- Design and maintain advanced Power BI dashboards and reporting solutions that support strategic planning, executive reviews, and operational performance tracking.
- Lead cross-functional analytics initiatives involving Operations, Finance, IT, and Customer Experience translating business needs into robust data-driven solutions.
- Conduct deep-dive analyses to uncover trends, anomalies, and opportunities, delivering insights that influence strategic decisions and drive measurable outcomes.
- Develop predictive models and scenario-based forecasting tools to support revenue planning, customer segmentation, and operational optimization.
- Ensure data governance and integrity across systems and reporting tools, establishing best practices for data quality, lineage, and documentation.
- Document processes, build reusable frameworks, and support ad hoc analysis requests with agility and precision.
Other
- Flexible work environment: open office or fully remote
- Travel: Less than 5%
- Bachelor’s degree in Business, Data Analytics, Computer Science, Information Systems or related field, or equivalent experience
- Strong business acumen and ability to align data strategy with organizational goals
- Demonstrated leadership in analytics projects and cross-functional collaboration
