Position:
Data Analyst
Company:
Capgemini
Location:
25846 (Hyderabad, Telangana, India) / 10365 (Noida, Uttar Pradesh, India)
Job Type:
Full-time
Job Mode:
On-site
Job Requisition ID:
25846 (Hyderabad, Telangana, India) / 10365 (Noida, Uttar Pradesh, India)
Years of Experience:
Not specified
Company Description
Capgemini is a globally recognized leader in IT services and consulting, specializing in digital and business transformation solutions.
With a workforce of over 10,001 employees, Capgemini operates in multiple industries, offering tailored technological solutions that enhance efficiency and innovation.
The company focuses on accelerating the dual transition of businesses toward digitalization and sustainability, ensuring long-term growth and competitiveness.
Capgemini is committed to providing responsible and impactful solutions that drive business success and contribute positively to society.
With a presence in numerous countries, Capgemini has built a strong reputation for delivering high-quality IT consulting, cloud services, and AI-driven business intelligence solutions.
The company fosters a culture of collaboration, innovation, and continuous learning, ensuring employees have access to the latest technological advancements and skill development programs.
Capgemini values diversity and inclusion, offering an inclusive work environment that encourages employees to contribute their unique perspectives and expertise.
By leveraging cutting-edge technologies, Capgemini helps clients optimize their operations, enhance customer experiences, and achieve their strategic business objectives.
Profile Overview
The role of a Data Analyst at Capgemini involves working with large datasets to extract meaningful insights that support business decision-making.
The candidate will be responsible for collecting, cleaning, analyzing, and interpreting data from various sources to ensure data consistency and reliability.
Data analysts at Capgemini use advanced algorithms, analytical tools, and IT solutions to process and interpret data effectively.
The position requires the creation of visual reports, dashboards, and presentations to communicate findings to stakeholders clearly.
The role demands a strong understanding of statistical methods, data modeling techniques, and data visualization tools to identify trends and patterns in datasets.
The ideal candidate should be proficient in SQL, Python, or R, as well as data visualization tools like Tableau or Power BI.
As a Data Analyst, one will collaborate with cross-functional teams, including business analysts, software engineers, and management, to optimize business processes through data-driven insights.
The candidate should have a problem-solving mindset, excellent communication skills, and the ability to present data-driven recommendations to non-technical stakeholders.
Qualifications
Education: A degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related field.
Technical Skills:
Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
Strong knowledge of data modeling, data cleaning, and data transformation techniques.
Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.
Analytical Skills:
Strong problem-solving abilities with a keen eye for detail.
Ability to identify data trends and provide actionable insights.
Knowledge of machine learning and predictive analytics is an advantage.
Soft Skills:
Excellent communication and presentation skills.
Strong collaboration and teamwork capabilities.
Ability to work in a fast-paced and dynamic environment.
Experience:
Prior experience in data analytics, business intelligence, or data science roles is preferred but not mandatory.
Internship experience in data-related projects is an added advantage.
Additional Information
Work Environment:
The role is based in Hyderabad/Noida, India, and requires on-site presence.
Employees will have access to a collaborative and innovative work culture with opportunities for growth and career advancement.
Learning & Development:
Capgemini provides extensive training programs and certifications in data analytics, machine learning, and cloud computing.
Employees can participate in skill enhancement workshops and global conferences.
Career Growth:
The role offers a structured career path with opportunities for promotions and role expansions in data science and analytics.
Employees can transition into senior analytical roles, business intelligence positions, or specialized data engineering functions.
Compensation & Benefits:
Competitive salary package with performance-based bonuses.
Comprehensive health insurance and wellness programs.
Paid leave, flexible working hours, and employee assistance programs.
Diversity & Inclusion:
Capgemini promotes an inclusive workplace where diversity is celebrated, and employees from various backgrounds are encouraged to contribute to the company's success.
The company fosters a culture of equality, ensuring equal opportunities for all employees.
Community Engagement:
Capgemini is committed to corporate social responsibility, engaging in sustainability initiatives and community development programs.
Employees have opportunities to participate in volunteer programs and contribute to societal impact initiatives.
Please click here to apply.
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