Data Analyst
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Key details
- Location
- Bengaluru, KA, India
- Work style
- Onsite
- Level
- Mid level
- Job type
- Full-time
- Experience
- 2–4 yrs
- Function
- Data & ML
- Focus area
- Data engineering & Analytics
- Posted
- 12h ago
Skills
azurebusiness intelligencedata analysisdata modelingdata visualizationdata warehousingdatabricksetlpower automatepower bipredictive modelingpythonscrumsnowflakesqlstatistical analysisstored procedurestroubleshooting
About the role
Key Responsibilities:
- Collaborate with business stakeholders to understand reporting and analytics requirements and translate them into actionable insights and BI solutions.
- Develop and maintain dynamic and interactive dashboards and reports using BI tools such as Power BI Fabric.
- Develop, design, and maintain Power BI reports and dashboards to visualize data for business insights and decision-making.
- Strong understanding of SQL, including writing and troubleshooting queries, working with database views, and understanding stored procedures.
- Create and manage data models and ETL(ADF) processes within Power BI to ensure data accuracy and consistency.
- Work with large and complex datasets from various sources to ensure data accuracy, consistency, and integrity.
- Develop and optimize ETL (Extract, Transform, Load) processes to support reporting and analytics needs.
- Monitor and maintain BI platform performance, troubleshoot issues, and provide support to end users.
- Stay updated on industry best practices, emerging trends in BI, and data visualization techniques.
- Experience in Power automate is a must, Databricks, Python experience is a plus
Qualifications:
- 2 to 4 years of experience in data analysis, business intelligence, or related roles.
- Proficiency in SQL, data modelling, and data visualization tools (PowerBi).
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
- Knowledge working with ETL(ADF) processes and data warehousing concepts.
- Knowledge of statistical analysis and predictive modelling techniques is a plus.
- Excellent communication and presentation skills with the ability to communicate complex data insights to non-technical stakeholders.
Preferred Skills:
- Experience with cloud-based BI platforms and services (e.g., AZURE, Databricks, Snowflake).
- Relevant certifications in business intelligence, data analysis, or related fields.
- Familiarity with Scrum methodologies.