Data Analyst (REMOTO)

at  CAPGEMINI ENGINEERING

Capgemini Engineering a world leader in engineering is looking for a Data Analyst !
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

REQUIRED SKILLS AND EXPERIENCE:

• Experience:
• 2-5 years of related experience in data analysis, with a focus on sales operations analytics.Proven track record of delivering actionable insights through data analysis.
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• Technical Skills:

• Intermediate to advanced level experience in Excel (e.g., pivot tables, VLOOKUP, advanced formulas).
• Experience with SQL for data extraction and manipulation.Familiarity with PowerBI or similar data visualization tools is a plus.
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• Analytical & Problem-Solving Skills:

• Strong analytical mindset with the ability to identify trends and interpret complex data.Excellent problem-solving capabilities with a focus on driving business results.
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• Communication & Collaboration:

• Strong written and verbal communication skills, with the ability to present data and findings to both technical and non-technical stakeholders.Collaborative team player with experience working in cross-functional environments.
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• PREFERRED QUALIFICATIONS:Experience in sales operations, including quota management, forecasting, budgeting, and financial controlling.

• Data Analysis & Reporting:
• Conduct in-depth data analysis using Excel to support decision-making processes.
• Prepare, analyze, and report on key sales metrics, including quota attainment, forecasting, budget control, and other relevant KPIs.
• Utilize SQL and PowerBI (if applicable) to extract, transform, and visualize data for reporting purposes.