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🧪Data Scientist

BI Engineer I

Verisk · Hyderabad, Telangana, India
// classified as
Data Scientist (Modeling, experiments, research.)
posted
1d ago
location
Hyderabad, Telangana, India
languages
python, sql
tools
aws, azure, snowflake
> stack
pythonsqlawsazuresnowflakepandas
> description

We are seeking a BI Developer cum Power BI Administrator responsible for end-to-end BI solution development, platform governance, and data validation. This role combines development, administration, and basic programming/testing capabilities to deliver secure, scalable, and high-quality analytics solutions.

1. Power BI Development
•    Design, develop, and maintain Power BI dashboards, reports, and datasets
•    Build data models (star schema, tabular models) and optimize performance
•    Develop DAX measures, calculated columns, and KPIs
•    Integrate data from multiple sources (SQL, Snowflake, APIs, Azure, etc.)
•    Translate business requirements into technical BI solutions
•    Ensure data accuracy, performance tuning, and usability of reports

2. Data Engineering / Transformation
•    Perform ETL/ELT using Power Query 
•    Cleanse, transform, and shape datasets for reporting
•    Collaborate with data engineering teams on pipelines and sources

3. Power BI Administration
•    Manage and maintain Power BI Service / Fabric environment
•    Administer: 
o    Workspaces
o    Access control (RLS, roles, security groups)
o    Tenant settings and governance policies
o    Premium/Fabric capacities
•    Configure and monitor: 
o    Gateways
o    Scheduled refreshes

•    Ensure security, compliance, and platform reliability

4. Governance & Platform Management
•    Define and enforce Power BI governance frameworks
•    Manage dataset certification, lineage, and lifecycle
•    Establish best practices for: 
o    Workspace organization
o    Naming conventions
o    Deployment pipelines
•    Monitor usage, performance, and adoption metrics

5. QA, Testing & Data Validation
•    Perform manual testing of Power BI reports and dashboards 
o    Data validation, reconciliation, KPI verification
•    Support UAT cycles with business stakeholders
•    Execute regression testing during report/dataset changes
•    Document: 
o    Test cases
o    Test plans
o    Defect tracking
•    (Good to have) Exposure to automated testing for data/BI: 
o    SQL-based data validation or testing frameworks

6. Stakeholder Collaboration & Support
•    Gather requirements from business stakeholders
•    Provide user support, troubleshooting, and training
•    Drive self-service BI adoption
•    Collaborate across business, data engineering, and IT teams

7. Migration & Advanced Use (Preferred)
•    Support Power BI Premium → Fabric migrations
•    Optimize capacity utilization and workloads
•    Work with: 
o    Dataflows / Lakehouse / Warehouse
•    Enable CI/CD deployment pipelines
 

Required Skills & Qualifications
Technical Skills
•    Strong expertise in: 
o    Power BI Desktop & Service
o    Data modeling & schema design
o    DAX and Power Query (M)
•    Good knowledge of: 
o    SQL and relational databases
o    Data warehousing concepts
•    Experience with: 
o    Power BI administration (tenant, gateway, capacity)
o    Security (RLS, workspace access)

Programming Skills (Updated)
•    Mandatory:
o    Basic Python programming (beginner level) 
    Data manipulation (e.g., Pandas basics)
    Simple scripting / automation
•    Good to Have:
o    Advanced Python usage for: 
    Data transformation / validation
    Automation of BI workflows
    Integration with APIs or cloud services

Professional Skills
•    Strong analytical and problem-solving abilities
•    Ability to translate business requirements into technical solutions
•    Excellent communication and stakeholder management

Experience
•    5+ years in BI / data analytics roles
•    3+ years hands-on Power BI development
•    Experience with enterprise BI platforms

Nice to Have (Summary Section)
•    QA automation tools / frameworks
•    Microsoft Fabric / Azure Data Platform
•    Snowflake / AWS integrations
•    CI/CD pipelines for BI
•    Power BI / Microsoft certifications