Data Analyst in Capgemini Full Time

About Capgemini

Capgemini is a world leader in consulting, technology services, and digital transformation. Founded in 1967 by Serge Kampf in Grenoble, France, it has grown to become one of the world’s leading professional services firms, offering a wide range of services to organizations in a variety of industries.

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Job Description:

As a Data Analyst at Capgemini, you will be responsible for harnessing data to inform business decisions and initiatives. You will work with a variety of stakeholders to understand their data needs and provide actionable insights.

Primary Skill

• Responsibilities include designing, developing, and testing complicated ETL components utilizing
• Ab-Initio and fast learning other technologies such as AWS, Python, and Spark.
• Excellent understanding of data warehouse concepts, as well as expertise creating solid, scalable ETL solutions.

Secondary Skill

• Proficiency in Unix shell scripting and SQL queries.
• Knowledge of big data tools such as Hive and Impala.

Responsibilities:

• Gather, process, and sanitize data from a variety of sources to ensure correctness and dependability.
• Create and maintain data models and databases.
• Analyze data sets to discover trends, patterns, and insights that can help shape corporate plans.
• Use statistical approaches to interpret data and generate continuing reports.
• Using technologies such as Tableau, Power BI, or equivalent, create dashboards and visualizations to show findings clearly and effectively.
• Prepare reports for management and stakeholders that summarize key findings and recommendations.

Python Developer Persistent

Qualifications:

A bachelor’s degree in data science, statistics, mathematics, computer science, or a closely related discipline.

Experience:

• Proven experience as a Data Analyst or in a comparable position.
• Experience with data analysis tools and languages (e.g., SQL, Python, and R).