Develop Power BI reports, dashboards, KPI scorecards, and advanced DAX calculations. Build tabular and multidimensional Analysis Services models, connect and transform data, implement row-level security, and optimize dashboard performance. The role requires SQL, data modeling, ETL, data warehousing, governance, and experience with Microsoft BI technologies, Azure, Synapse, Tableau, and SAP. Responsibilities include understanding client requirements, designing reporting solutions, identifying data issues, creating presentations, and collaborating with customers, UX/UI teams, and internal stakeholders.
This role is for one of Weekday’s clients
Min Experience: 4+ years
Location: Bengaluru, Pune, Gurgaon, Haryana, India
JobType: full-time
Requirements
Mandatory:
- Power BI Report development.
- Building Analysis Services reporting models.
- Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
- Connecting data sources, importing data, and transforming data for Business intelligence.
- Analytical thinking for translating data into informative reports and visuals.
- Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.
- Should have an edge over making DAX queries in Power BI desktop.
- Expert in using advanced-level calculations on the data set.
- Responsible for design methodology and project documentaries.
- Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.
- Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.
- Experience working with Microsoft Business Intelligence Stack having Power BI, SSAS, SSRS, and SSIS
- Mandate to have experience with BI tools and systems such as Power BI, Tableau, and SAP.
- Must have 2-3years of experience in data-specific roles.
- Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more
- Knowledge of all the Power BI products (Power Bi premium, Power BI server, Power BI services, Powerquery etc)
- Grip over data analytics
- Interact with customers to understand their business problems and provide best-in-class analytics solutions
- Proficient in SQL and Query performance tuning skills
- Understand data governance, quality and security and integrate analytics with these corporate platforms
- Attention to detail and ability to deliver accurate client outputs
- Experience of working with large and multiple datasets / data warehouses
- Ability to derive insights from data and analysis and create presentations for client teams
- Experience with performance optimization of the dashboards
- Interact with UX/UI global functions and design best in class visualization for customers harnessing all product capabilities
- Resilience under pressure and against deadlines.
- Proactive attitude and an open outlook.
- Strong analytical problem-solving skills
- Skill in identifying data issues and anomalies during the analysis
- Strong business acumen demonstrated an aptitude for analytics that incite action
- Ability to execute on design requirements defined by business
- Ability to understand required Power BI functionality from wireframes/ requirement documents
- Ability to architect and design reporting solutions based on client needs.
- Being able to communicate with internal/external customers, desire to develop communication and client-facing skills.
- Ability to seamlessly work with MS Excel working knowledge of pivot table and related functions
Good to have:
- Experience in working with Azure and connecting synapse with Tableau
- Demonstrate strength in data modelling, ETL development, and data warehousing
- Knowledge of leading large-scale data warehousing and analytics projects using Azure, Synapse, MS SQL DB
- Good knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Power BI, Fabric, DAX
Good-to-have skillssql, etl, Data Warehousing
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