Data And Analytics Specialist
Job Description & How to Apply Below
- Develop and maintain analytical solutions, dashboards and reports to support informed business decisions.
- Translate stakeholder business needs into technical specifications and BI standards.
- Develop, deploy and maintain Power BI cubes, data models and database queries, and optimise them for performance.
- Perform advanced data modelling, data collection and analysis from primary and secondary sources.
- Identify, analyse and interpret trends and patterns in complex datasets, and turn data into business insight.
- Ensure reports are tested; track and resolve defects and issues to closure.
- Collaborate with the Digital Core Team and business units on BI project goals, timelines and standardised reporting requirements.
- 4 to 6 Years of overall work experience primarily working on Analytics and BI domain preferably in Microsoft stack (MSBI, PowerBI & Excel). Experience in creating business critical Dashboards and Reports in Power BI using SQL Server, Lakehouse as sources.
- In depth knowledge of data lake, data warehouse/BI development with a focus on auditability, end-to-end lineage.
- Experience of Dynamics 365 or ERP in comparable role within IT, Finance or Business.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Must have hands-on experience in Power BI report design, with mandatory expertise in the on-premise Power-BI Report Server with proficiency in DAX and TSQL queries, along with their integration with cloud services.
- Experienced in Data warehousing and Dimensional modelling (Star schema and Snowflake schema).
- Experienced in maintaining and customizing Cubes using SQL Server Analysis Services (SSAS) and experienced in Data visualization/reporting tools like SSRS and Power BI.
- Experience in creating Power BI Reports using various sources like Excel, CSV, SQL Server, Oracle, SQL Server Analysis service (SSAS), Azure SQL, Azure Data Warehouse, etc.,
- Experience in creating complex calculations and measures for Visuals and KPI's using DAX.
- Experience in Azure Cloud Services, Azure Databricks, Azure Dev Ops, Azure Storage, Azure Data Lake added value
- Bachelor Degree or Masters in Computer Science/Engineering/Applications or related field.
- Certification in Business Analysis is an advantage.
- Microsoft Azure-related training/certifications are an advantage:
Data Scientist Associate (DP-100), Power BI Data Analyst Associate (PL-300) or equivalent of other major cloud platforms
- In-depth knowledge in SQL Server, SSAS, SSIS and SSRS; SQL database administration experience is added advantage.
- Knowledge in Microsoft Dynamics 365 architecture.
- Knowledge in PowerBI report/dashboard designing and publishing.
- Expertise in writing complex SQL queries and optimizing the Performance of Power BI Reports. Designed and created databases, tables, views, stored procedures, and functions using SQL server
- Proven analytical background
- Proficiency in scripting / programming languages SQL. Python/R scripting
- is preferred
- RPA and predictive analytics capabilities is an added advantage
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