Job Description:
Position: BI Analyst
Experience: 4-6 Years
Level: 30
Location: [Bangalore/Coimbatore/Pune/Mumbai]
Employment Type: Full-Time
Job Summary
We are seeking a detail-oriented BI Analyst with 4+ years of experience in Power BI and SQL. The ideal candidate should be capable of developing end-to-end dashboards, performing data analysis and validation, and transforming business requirements into actionable insights.
Key Responsibilities
- Design, develop, and maintain interactive Power BI dashboards and reports.
- Gather and understand business requirements and translate them into reporting solutions.
- Write and optimize SQL queries for data extraction, analysis, and reporting.
- Perform data validation and quality checks to ensure accuracy and consistency of reports.
- Create and maintain data models, relationships, measures, and DAX calculations in Power BI.
- Collaborate with business stakeholders to identify reporting needs and provide analytical insights.
- Troubleshoot and resolve reporting and data-related issues.
- Document dashboard logic, data sources, and validation processes.
Required Skills
- 4+ years of hands-on experience with Power BI.
- Strong knowledge of SQL for data extraction and analysis.
- Experience in developing end-to-end dashboards and reporting solutions.
- Good understanding of data modelling concepts and DAX, and understanding ETL process & GITHUB
- Experience in data validation, reconciliation, and quality assurance.
- Ability to analyze business requirements and convert them into meaningful visualizations.
- Strong problem-solving and analytical skills.
- Good communication and stakeholder management skills.
Nice to Have:
- Basic knowledge of Python
- Familiarity with Databricks
- Experience with Power Query (M Language).
Qualification
- Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, or a related field.
- Relevant Power BI certifications are an added advantage.
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 4+ years of hands-on experience with Power BI
- Strong SQL skills for data extraction and analysis
- Experience developing end-to-end dashboards and reporting solutions
- Understanding of data modeling concepts and DAX
- Understanding of ETL processes and GitHub
- Experience with data validation, reconciliation, and quality assurance
- Ability to analyze business requirements and convert them into meaningful visualizations
- Strong problem-solving and analytical skills
- Good communication and stakeholder management skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, or a related field
- Basic knowledge of Python
- Familiarity with Databricks
- Experience with Power Query and M Language
- Relevant Power BI certification
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
