About the opportunity:
We’re looking for a Sr Data Analyst- Application Systems. This job role is responsible for maintaining and enhancing enterprise reporting and analytics solutions, with a primary focus on Power BI and Data engineering.
Responsibilities:
- Develop, enhance, and maintain Power BI reports, dashboards, and semantic models to meet evolving business requirements.
Design and manage Power BI datasets and data models, - ing best practices for performance, scalability, and usability.
- Create and manage Power BI Apps, including publishing, versioning, and user access management.
- Partner with business stakeholders to gather requirements, understand reporting needs, and translate them into effective analytics solutions.
- Perform data analysis and validation to ensure accuracy, consistency, and alignment with business definitions.
- Develop and support data pipelines using Azure Data Factory and/or Microsoft Fabric to enable reliable data ingestion and transformation.
- Perform data analysis and transformation using SQL, including complex queries and stored procedures, to support analytics and reporting requirements.
- Perform data analysis and transformation using PySpark notebooks, supporting scalable analytics and downstream reporting solutions.
- Monitor and troubleshoot reporting and data refresh issues, resolving errors and performance bottlenecks.
- and follow data governance, security, and access control standards across reporting solutions.
- Collaborate with data engineers, analysts, and platform teams to support modern analytics initiatives, including Microsoft Fabric.
- Maintain documentation for reports, datasets, and data processes to support knowledge sharing and continuity.
Location: Remote
What we’re offering
A competitive salary, vacation, health & dental benefits and employer-matched pension plan.
You’ll have opportunities to learn, grow, and collaborate with professionals on a global reach. Whether you’re working with the leading minds in the industry on high-profile projects, with internal teams to support continuous improvement, or with our customers to inspire and delight—your contributions will make a difference.
The experience and skills we value:
- BE/B.Tech in Computer Science/ Data Engineering
- 8 – 10 years of related experience
- Understanding of internal business data, reporting standards, and organizational processes is learned through direct experience
- BI tools and analytics expertise are required upon entry.
What will put you ahead:
- Requires strong communication, presentation, and analytical skills to deliver business‑focused insights.
- Power BI expertise, including semantic modeling, DAX, report/dashboard development, and Power BI Apps.
- Strong data modeling skills, including dimensional modeling (star schema), metric standardization, and semantic layer design.
- Advanced SQL skills, including complex queries, performance tuning, and stored procedures for data analysis and transformation.
- Experience with Azure analytics platforms, including Azure Data Factory, Azure Synapse Analytics, and/or Microsoft Fabric.
- Data transformation and analysis skills, using SQL, Power Query, and PySpark notebooks for scalable analytics.
- BI performance optimization and troubleshooting, including refresh reliability, dataset optimization, and report performance.
- Data governance and security knowledge, including RLS, access control, and enterprise reporting best practices.
