Data Analyst Advanced Analytics Big Data

Were Hiring: Data Analyst – Advanced Analytics & Big Data (Onsite in Bangalore)

Location: Whitefield, Bangalore (Onsite)
Start Date: Immediate joiners only Positions: 2 Openings Domain: Advanced Analytics & Big Data (Automotive Manufacturing)

Candidate's capabilities and competencies against the key skills required for the Data Analyst role in Advanced Analytics & Big Data, specifically for the automotive manufacturing domain. The client expects an evaluation of the candidate's practical knowledge, hands-on skills, and ability to apply tools and technologies essential for the role such as SQL, Python, Databricks, Snowflake, and data engineering principles. They want to know if the candidate can perform tasks like writing queries, designing data pipelines, working with cloud and distributed systems, and understanding data governance. The client is also interested in behavioral attributes like proactiveness and communication skills.

Based on this, the complete client requirements implied by the feedback document are:

• Evaluate candidate technical skills:
• Data engineering concepts and practical application
• SQL query writing and logic implementation
• Python programming for data analysis and engineering
• Experience with Databricks and its features (Delta Lake, Spark internals, performance tuning)
• Snowflake knowledge including schema design, query optimization, and architecture
• Experience in building ETL/ELT pipelines using tools like Apache Spark, Airflow, dbt
• Working knowledge of cloud / distributed systems (Hadoop, BigQuery, Redshift)
• Data governance and security frameworks understanding
• Assess candidate's ability to provide scalable and optimized data solutions
• Review real-world case experience in advanced analytics, automoti ve manufacturing, and R&D domain
• Assess non-technical skills such as communication, collaboration, and proactivity
• Immediate joining availability and onsite presence in Bangalore

Here is a clear, client-ready JD draft based on the role and the client’s implied focus:

About the Role

Join a global advanced analytics team within the automotive manufacturing sector focusing on product development for R&D, manufacturing, quality, and aftersales in the bus division. This is an individual contributor position requiring hands-on expertise in data engineering, analytical solution delivery, and collaboration with engineering and business teams.

Core Responsibilities

• Collect, clean, and analyze large datasets to derive actionable insights supporting vehicle and product development
• Conduct descriptive, exploratory, and inferential statistical analyses
• Design and implement scalable data architectures, including data lakes, warehouses, and ETL/ELT pipelines
• Develop APIs and real-time data services for batch and stream processing
• Optimize data storage solutions for performance and cost efficiency
• Drive adoption of data modeling standards, governance, and observability frameworks
• Collaborate closely with cross-functional teams to align analytics efforts with business goals
• Proactively propose innovative tools, platforms, and solutions to address data challenges

Mandatory Skills & Experience

• 5+ years in data analysis, engineering, or data architecture roles
• Strong hands-on expertise in SQL and Python programming
• Experience with Databricks, Snowflake, and Power BI for analytics and visualization
• Cloud and distributed system knowledge including Hadoop, Spark, BigQuery, Redshift
• Proven ability building and maintaining ETL/ELT pipelines with Apache Spark, Airflow, and dbt
• Familiarity with data security and governance frameworks and API development
• Excellent English communication skills with a proactive and collaborative approach
• Prior experience in automotive manufacturing, supply chain, R&D, or advanced analytics domain highly preferred
• Currently based in Bangalore with ability to work onsite (no relocation support)

Work Arrangement

• Onsite in Whitefield, Bangalore
• Typical working hours approximately 8 hours/day, with daily meetings from 9:00 to 9:30 AM IST