- Design, develop, and deploy interactive dashboards and reports using MS Fabric & Qlik Cloud, ensuring alignment with business requirements and goals.
- Implement and manage data integration workflows utilizing MS Fabric to ensure efficient data processing and accessibility.
- Translate business needs to technical specifications and Design, build and deploy solutions.
- Understand and integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), Teams, SharePoint or by API automation.
- Will be responsible for access management of app workspaces and content.
- Integration of PowerBi servers with different data sources and timely upgradation/services of PowerBi
- Able to schedule and refresh jobs on Power BI On-premise data gateway.
- Configure standard system reports, as well as customized reports as required.
- Responsible in helping various kind of database connections (SQL, Oracle, Excel etc.) with Power BI Services
- Investigate and troubleshoot reporting issues and problems
- Maintain reporting schedule and document reporting procedures
- Monitor and troubleshoot data flow issues, optimizing the performance of MS Fabric applications as needed.
- Optimize application performance and data models in Qlik Cloud while ensuring data accuracy and integrity.
- Ensure collaboration with Functional & Technical Architectsasbusiness cases are setup for each initiative,collaborate with other analytics team to drive and operationalize analytical deployment.Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
- Ensure compliance with internal policies and regulations
- Strong ability to take the lead and be autonomous Proven planning, prioritization, and organizational skills.Ability to drive change through innovation & process improvement. Be able to report to management and stakeholders in a clear and concise manner.
- Good to havecontribition to the integration and utilization of Denodo for data virtualization, enhancing data access across multiple sources.
- Document Denodo processes, including data sources and transformations, to support knowledge sharing within the team.
- Facilitate effective communication with stakeholders regarding project updates, risks, and resolutions to ensure transparency and alignment.
- Participate in team meetings and contribute innovative ideas to improve reporting and analytics solutions.
EDUCATION
Bachelor's/Master's degree in Computer Science Engineering /Technology or related field
Experience
- Total 6 years of experience
- Mandatory 2+ years of experience in Power BI End-to-End Development using Power BI Desktop connecting multiple data sources (SAP, SQL, Azure, REST APIs, etc.)
- Experience in MS Fabric Components along with Denodo.
Technical competencies
- Proficient in using MS Fabric for data integration and automation of ETL processes.
- Understanding of data governance principles for quality and security.
- Strong expertise in creating dashboards and reports using Power BI and Qlik.
- Knowledge of data modeling concepts in Qlik and Power BI.
- Proficient in writing complex SQL queries for data extraction and analysis.
- Skilled in utilizing analytical functions in Power BI and Qlik.
- Experience in troubleshooting performance issues in MS Fabric and Denodo.
- Experience in Developing visual reports, dashboards and KPI scorecards using Power BI desktop & Qlik
- Understand Power BI application security layer model.
- Hands on PowerPivot, Role based data security, Power Query, Dax Query, Excel, Pivots/Charts/grid and Power View
- Good to have Power BI Services and Administration knowledge.
- Experience in developing data models using Denodo to support business intelligence and analytics needs.
- Proficient in creating base views and derived views for effective data representation.
- Ability to implement data transformations and enrichment within Denodo.
- Skilled in using Denodo's SQL capabilities to write complex queries for data retrieval.
- Familiarity with integrating Denodo with various data sources, such as databases, web services, and big data platforms.
