About the Role
The role involves designing and implementing data solutions, creating performance metrics, and delivering insights to stakeholders through reports and dashboards. The analyst will collaborate with cross-functional teams to identify data needs and improve reporting capabilities.
Responsibilities
- Develop and maintain scalable data models and ETL processes
- Design interactive dashboards and visualizations for business stakeholders
- Translate business requirements into technical data solutions
- Perform deep-dive analysis to uncover trends and patterns
- Ensure data accuracy, consistency, and reliability across systems
- Collaborate with IT and analytics teams on data integration
- Optimize queries and reporting performance
- Support ad hoc analytical requests from leadership
- Document data definitions, logic, and reporting standards
- Identify opportunities for process improvement through data
- Apply statistical methods to validate findings and forecast outcomes
- Maintain compliance with data governance and privacy policies
- Present insights to non-technical audiences effectively
- Work with large datasets from multiple sources
- Use SQL and other query languages to extract and manipulate data
- Leverage BI tools such as Tableau or Power BI for reporting
- Participate in requirement gathering sessions with business units
- Validate data integrity during system transitions or upgrades
- Contribute to data quality assurance initiatives
- Stay current with industry trends in data analytics and visualization
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility based on role and location
Team
Part of a data-driven analytics team focused on strategic insights and decision support
Why This Role Matters
This position plays a key role in shaping data-informed strategies across the organization by turning raw data into meaningful insights that drive operational and strategic decisions.
Growth Opportunities
Opportunities exist for professional development, including access to training programs, mentorship, and advancement within the analytics and data science domains.
May offer sponsorship for qualified candidates depending on business needs
