Data Analyst Engineer

2 weeks ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 4,00,000 - ₹ 8,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR 5-8 LPA)Min Experience: 3 years

Location: Bengaluru

JobType: full-time

Requirements

Data Engineering:

  • Design, build, and maintain robust ETL/ELT pipelines for data integration and transformation.
  • Develop and manage data lakes, data warehouses, and data marts to support analytics and reporting needs.
  • Build efficient and scalable data models ensuring structured, high-quality datasets.
  • Support both real-time and batch data processing (experience with Spark, Kafka, or Hadoop is a plus).
  • Ensure data quality, governance, and security while optimizing performance across systems.
  • Collaborate with technology and AI teams to provide clean, reliable data for machine learning workflows.

Analytics & Reporting:

  • Conduct exploratory data analysis (EDA) to uncover insights and trends.
  • Develop interactive dashboards and performance reports using Power BI, Tableau, or Looker.
  • Translate raw data into actionable insights and key performance metrics for business teams.
  • Perform in-depth analyses to support product, business, and growth strategies.
  • Automate reporting systems and create KPI monitoring dashboards.
  • Present findings and recommendations clearly to technical and non-technical stakeholders.

Required Skills:

  • Proficiency in Python (with Pandas, NumPy, and PySpark preferred).
  • Advanced SQL skills, including writing complex queries and optimizing performance.
  • Experience with ETL tools such as Azure Data Factory, Airflow, or Pentaho.
  • Hands-on experience with Databricks or Azure Synapse.
  • Strong knowledge of Power BI, Tableau, or Looker for business intelligence reporting.
  • Deep understanding of data modeling, pipeline architecture, and data warehousing concepts.
  • Experience working on Azure, AWS, or GCP platforms.
  • Excellent analytical thinking and communication skills.

Good to Have:

  • Exposure to ML/AI data pipelines and API-based data integrations.
  • Familiarity with CI/CD, Git, and DevOps practices.
  • Understanding of data security, compliance, and data privacy principles.
  • Basic knowledge of statistics or predictive modeling.

Core Skills:

Data Analytics | Data Governance | EDA | Power BI | Python | NumPy | PySpark | Tableau | Azure Data Factory | SQL | ETL | Data Modeling

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