Data Analyst
New
BengaluruFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2-5 years
- Required Skills
- SQLBusiness IntelligenceGitMicrosoft Power BISnowflakeTableauData modelingdbt
Requirements
- 2-5 years of experience in data analytics, business intelligence, reporting, or a related analytical role.
- Strong proficiency in SQL for data extraction, transformation, analysis, and validation.
- Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse.
- Experience building dashboards and reports using BI tools such as Tableau, Power BI, Looker, or AWS QuickSight.
- Strong understanding of relational databases, data modeling concepts, and analytical data structures.
- Ability to work with large datasets, complex business logic, and multiple data sources.
- Strong analytical, problem-solving, and critical-thinking skills.
- High attention to detail and commitment to data accuracy.
- Ability to manage ad hoc analysis requests while balancing recurring reporting priorities.
- Strong communication skills, with the ability to explain data findings to technical and non-technical audiences.
Responsibilities
- Analyze large and complex datasets to identify trends, anomalies, risks, and business opportunities.
- Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions.
- Write efficient SQL queries to support business reporting, ad hoc analysis, and data validation.
- Partner with analytics engineering and data engineering teams to validate and consume curated datasets.
- Assist in designing, testing, and validating data models used in reporting and analytics workflows.
- Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements.
- Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis.
- Document business logic, metric definitions, data sources, reporting methodologies, and assumptions.
- Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting.
- Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership.
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