Data Analyst

Role: Data Analyst – Advanced Analytics & Big Data

Payroll Company - Varshney Infotech Pvt Ltd

Team/Domain: Advanced Analytics & Big Data team, supporting product development

Contract Type: Long-term

Scope: Generate insights for data-driven decisions in product development using systematic data analysis. Identify suitable problem statements, develop solutions, and support vehicle development programs in an international environment. The work includes descriptive statistics, exploratory data analysis (EDA), and inferential statistics.

Industry Domain: This is an automobile manufacturing company and the business domains are R&D, Manufacturing, After Sales, Logistics and Supply Chain, Quality, etc.)

Role is focused within the Buses team, a small (~5 people) analytics group supporting R&D, quality, aftersales, and manufacturing. The data analyst will bridge gaps between data scientists and engineers, with emphasis on governance, best practices, and platform/tool recommendations

Technologies/Context: Artificial intelligence (ML and GenAI), cloud computing, agile software development; large datasets; SQL, Python, Hadoop, Spark, Snowflake, BigQuery, Redshift; Databricks; Power BI.

2. Must-Haves

Technical / Functional Skills:

5+ years of experience in data engineering, data analysis, and/or data architecture

Strong expertise in SQL and Python

Databricks, Snowflake, Power BI (explicit client and ProFocus priority)

Expereince with distributed data systems such as Hadoop, Spark

Experience with Cloud platforms such as Snowflake, BigQuery, Redshift

ETL/ELT pipelines (Apache Spark, Airflow, dbt)

APIs and data services for real-time and batch processing

Familiar with data governance, security, and compliance frameworks

Perform descriptive statistics, EDA, and inferential statistics

Design and implement scalable, secure, high-performance data architectures (data lakes, warehouses, real-time pipelines)

Understanding of APIs and how applications connect to AI engines (e.g., Truck API platform). Deep API development experience not required.

Soft Skills:

Strong English communication skills

Forward-deployed engineering mindset with ability to support multiple programs

Collaborative, proactive problem-solving; proposes solutions, not just requests direction

Positive attitude, high integrity, honesty

Ability to operate effectively in diverse, international teams

Experience Required:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Automotive industry experience in manufacturing, R&D, supply chain, connected vehicle, or aftersales

Must be currently living in Bangalore (relocation candidates not considered due to turnover risk)

Strong preference for automotive/bus domain experience, as projects are centered on core automotive topics

3. Nice-to-Haves

Automotive Industry Experience strongly preferred. Experience at other manufacturing companies working with domains such as R&D, Engineering, Manufacturing, Quality, After Sales etc. Finance industry experience is not as relevant.

ERP/telematics experience such as SAP, Oracle

Familiarity with additional data tools (Excel, SQL)

Business Analysis certifications: CBAP, CCBA

Agile certifications: CSPO, CSM

Experience defining and enforcing data modeling standards

Familiarity with data observability practices

Experience optimizing data storage and retrieval for performance and cost efficiency

Exposure to Databricks and AWS is helpful, as some data flows through Databricks into Azure-based platforms. Buses team is also moving toward Snowflake/AWS integration.

Experience leveraging AI-assisted tools (e.g., LLM copilots) for ETL pipeline optimization is considered a plus

4. Work Arrangement and Hours

Location: Onsite in Whitefield, Bangalore

WFH Policy: Up to 6 WFH days/month

Work Hours: ~160 hours/month; ~8 hrs/day. Most meetings 9:00–9:30 AM IST; wrap ~5:00 PM IST

5. Important Project Details / Responsibilities

Collect, process, and analyze large datasets to generate insights

Perform statistical analyses (descriptive, EDA, inferential)

Support data-driven decision-making in vehicle/product development

Design and implement scalable data architectures (data lakes, warehouses, pipelines)

Define and enforce data modeling standards, governance, and best practices.

Collaborate with stakeholders to align data architecture with business goals and technical strategy.

Build and maintain ETL/ELT pipelines

Develop APIs and data services for real-time and batch data

Optimize data storage/retrieval for cost efficiency and performance

Ensure data quality, lineage, and observability

Collaborate with stakeholders to align data architecture with business goals

Evaluate and recommend modern data tools, platforms, frameworks

Strengthen data governance practices within the Buses analytics team, including evaluation of platforms for business use cases

6. "Sizzle" About the Job

Apply advanced analytics and AI to real-world automotive product development challenges

Work on cutting-edge cloud and big data platforms including Snowflake, Databricks, and Power BI

Collaborate with diverse global teams in an international innovation environment

Contribute to analytics initiatives with direct business impact across manufacturing, supply chain, and R&D

7. Ideal Candidate Profile

Bangalore-based, long-term contract oriented

5+ years of experience in data analysis/engineering/architecture

Strong SQL, Python, Hadoop/Spark, Databricks, Snowflake, Power BI

Experience in automotive/manufacturing/supply chain/R&D domain

Strong English communication skills, proactive, positive, and collaborative

Not overly senior — practical, detail-oriented, hands-on contributor

Note - Candidates must have their own Laptop

Can share resume to kesharwanisameeksha07@gmail.com or samiksha.kesharwani@varshneyinfotech.net

Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: ₹1,000,000.00 - ₹2,400,000.00 per year

Work Location: Hybrid remote in Bengaluru, Karnataka