Business Analyst Qualitest

  • company name Qualitest
  • working location Office Location
  • job type Full Time

Experience: 5 - 5 years required

Pay:

Salary Information not included

Type: Full Time

Location: Karnataka

Skills: SQL, Data Modeling, Power Bi, Qlik Sense, Databricks, Azure services, azure data factory, Power Platform, AI Technologies

About Qualitest

Job Description

You should have 5-7 years of relevant experience to be considered for this position. Key Responsibilities: Data Management: You will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights. Data Solutions: You will develop and manage Advanced Analytics solutions, including BI Dashboards design, Reports, and digital solutions. Stakeholder Management: Collaborate with stakeholders to understand business needs and translate them into technical requirements. Project Management: Lead and manage Data and Advanced Analytics projects, ensuring timely delivery and alignment with business goals. Documentation: Create and maintain documentation, including design specifications and user manuals. Continuous Improvement: Identify opportunities for process improvements and recommend digital solutions. Experience Requirements: - Must have experience with Databricks for big data processing and analytics. - Strong skills in SQL for database querying, Data Modeling, and DWH (Data Warehousing) are essential. - Develop design documentation by translating business requirements into source-to-target mappings. - Experience in Power BI and Qlik Sense is a must; a development background is an advantage. - Experience with Azure services for data storage, processing, and analytics. - Knowledge of data fabric architecture and implementation. - Azure Data Factory (ADF): Expertise in data integration and orchestration using ADF is an advantage. - Power Platform: Proficiency in using Power Apps, Power Automate, and Power Virtual Agents to create and manage digital solutions. - AI Technologies: Knowledge of AI tools and frameworks to develop predictive models and automate data analysis. Must-Haves: - AI: 4 out of 5 - Data Warehousing (DWH): 4 out of 5 - Data Management: 3 out of 5,