Data Analyst
Capgemini
Job Overview
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Job Description
Job Description
We are looking for a highly driven, proactive Data Analyst with strong problem-solving skills and a go-getter attitude. The ideal candidate will have hands-on experience in PySpark, and at least one leading visualization tool such as Tableau. You will work on analyzing large-scale vehicle data, building scalable tools, and delivering actionable insights. Automotive domain knowledge is a strong plus.
Keywords: Statistical analysis, Data Visualization, Dashboards, Data pipelines, Data Gathering, Root Cause Analysis
Job Responsibilities
- Perform big data analysis on field vehicle datasets to support powertrain use cases.
- Develop or enhance data pipelines to extract and process required data efficiently.
- Collaborate closely with data engineers and pipeline owners to ensure smooth data flow.
- Conduct data cleaning, plausibility checks, and create gold and silver layers for analytics.
- Apply statistical analysis techniques to derive insights and support decision-making.
- Design and maintain interactive dashboards for global stakeholders.
- Build custom tools to scale data analytics methods and improve efficiency.
- Work with global teams and product owners to align analytics with business objectives.
Good to Have
- Power BI
- Automotive Powertrain domain knowledge
- Soft Skills: Excellent written and verbal communication skills, Flexible, Self-driven, Team Player
Mandatory Skills
- Tableau
- Microsoft Azure
- Databricks
- Pyspark
- SQL
Software Engineering at Capgemini
This Data Analyst role falls within Software Engineering, encompassing the development, maintenance, and optimization of software solutions and applications. You will apply scientific methods to analyze and solve software engineering problems, taking responsibility for the development and application of software engineering practice and knowledge in research, design, development, and maintenance. This position requires original thought and judgment, with the ability to collaborate effectively as a team player with other software engineers and stakeholders.
Role Qualifications
Candidates for this Data Analyst position should have more than a year of relevant work experience and a solid understanding of programming concepts, software design, and software development principles. You will be expected to consistently work to direction with minimal supervision, producing accurate and reliable results across a range of tasks and problems. The ability to organize your own time to deliver against tasks set by others with a mid-term horizon, work cooperatively with others, and make decisions based on situational understanding is crucial to directly impact project performance.
Key skills/competency
- Data Analysis
- PySpark
- Tableau
- SQL
- Microsoft Azure
- Databricks
- Data Pipelines
- Statistical Analysis
- Dashboard Design
- Big Data
How to Get Hired at Capgemini
- Research Capgemini's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your Data Analyst resume: Customize your resume to highlight PySpark, Tableau, SQL, and big data analysis experience.
- Prepare for technical interviews: Practice SQL queries, PySpark data manipulation, and discuss dashboard design principles.
- Highlight problem-solving skills: Be ready to share examples of how you've used statistical analysis and root cause analysis.
- Showcase Capgemini fit: Emphasize your communication, flexibility, self-driven attitude, and teamwork skills for a global environment.
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