Data Analyst

This role is for one of Weekday's clientsSalary range: Rs 1800000 - Rs 2000000 (ie INR 18-20 LPA)Min Experience: 4 yearsLocation: BangaloreJobType: full-time

Requirements

We are seeking an experienced and detail-oriented

Data Analyst

with a strong background in

SQL, PySpark, Python, and Power BI (PBI)

to join our data and analytics team. As a Data Analyst, you will play a critical role in transforming raw data into actionable insights that drive strategic business decisions. You'll work closely with cross-functional teams including business, product, engineering, and marketing to understand data requirements, build robust data models, and deliver meaningful reports and dashboards.The ideal candidate has 4+ years of hands-on experience working in fast-paced, data-driven environments, with a strong command of data querying, scripting, and visualization. This is an excellent opportunity for someone who enjoys solving complex data problems and communicating insights to both technical and non-technical stakeholders.

Key Responsibilities

• Data Extraction & Transformation: Use SQL and PySpark to extract, clean, transform, and aggregate large datasets from structured and unstructured sources.
• Data Analysis: Conduct exploratory and ad-hoc data analysis using Python and other statistical tools to identify trends, anomalies, and business opportunities.
• Dashboarding & Reporting: Design, develop, and maintain interactive dashboards and reports using Power BI to visualize KPIs, business metrics, and forecasts.
• Data Modeling: Build and maintain efficient and scalable data models to support reporting and analytics use cases.
• Business Collaboration: Partner with internal teams to gather requirements, understand business challenges, and deliver data-driven solutions.
• Performance Tracking: Monitor campaign and business performance, identify areas of improvement, and suggest data-backed strategies.
• Automation: Streamline and automate recurring reporting processes using Python scripting and PBI integrations.
• Data Governance: Ensure data accuracy, consistency, and compliance with privacy regulations and data governance frameworks.
• Documentation: Maintain comprehensive documentation of data workflows, pipelines, and dashboards for knowledge transfer and reproducibility.
  

Required Skills And Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 4+ years of professional experience as a Data Analyst or in a similar role involving large-scale data analysis.
• Strong expertise in SQL for data querying, joins, aggregations, and optimization techniques.
• Hands-on experience with PySpark for big data processing and distributed computing.
• Proficiency in Python for data manipulation, statistical analysis, and building automation scripts.
• Advanced working knowledge of Power BI for building reports, dashboards, and performing DAX calculations.
• Strong analytical thinking, with the ability to work independently and manage multiple projects simultaneously.
• Excellent communication and stakeholder management skills; ability to translate complex data into simple business insights.
• Familiarity with cloud platforms (Azure/AWS/GCP), data warehouses (Snowflake, Redshift, BigQuery), and version control tools (Git) is a plus