tech carrot is a leading global ITservice provider and partner in digital transformation offering cost-effective,customer-centric, and cutting-edge digital solutions to clients worldwide.
tech carrot headquartered in Dubai, UAE. Being a people-oriented organization with aphilosophy of "We care" as our core DNA, tech carrot continuallyfocuses on new initiatives and strategies to increase overall employeeexperience by providing a plethora of platforms to drive employee development,overall efficiency, increase overall employee satisfaction. With over 200+technology specialists who are engaged and motivated we are growing at 20% a year-on-year since inception.
We offer cutting-edge services across multipleindustries and deliver seamless customer experiences, ensuring high value andrapid growth for our clients. tech carrot has earned wide recognition as areliable partner for organizations across the globe because of its professionalapproach and strong delivery capabilities. The Middle East and Africa arehandled by UAE operations, while APAC is handled by India operations. We havealso expanded in the USA and the Netherlands as well.
Job Description
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.
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.
Education
- 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
Knowledge
- 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
Skills required
- 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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