Data Analyst

4 days ago

Bridgewater, United States Capgemini Full time

Data Analyst

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

You will be working with Capgemini’s Banking and Insurance clients for developing, testing and maintaining business applications after initial 4-week training program. During the training program, you will be trained to enhance your relevant programming, delivery and consultative skills to be successful in your role. During your tenure, you’ll be working on our client projects in financial services industry on challenging projects that have the potential to change the way we trade. You’ll work closely with a mentor who will provide guidance, growth opportunities, and genuine feedback. We provide an ideal opportunity for bright engineering-savvy minds to put their talents to the test in real-world applications.

Key Responsibilities

• Collaborate with team to quickly understand client needs, develop solutions, and present findings to client executives. 

• Provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations. 

• Use industry expertise and data science experience to uncover new opportunities with clients’ data. 

• Generate business insights through data analysis and modeling.

• Identify innovative ideas and proof of concepts to deliver against the existing and future needs of our customers.

• Utilize historical trends and predictive models to forecast outcomes.

• Draw conclusions by making recommendations for developing or modifying analysis strategies with little or no supervision.

• Generate ad-hoc reports and continue enhancing standard reports.

• Perform EDA and feature engineering to both inform the development of statistical models and improve model performance and flexibility.

• Work with global teams to drive client engagements in a broad range of industries; design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Systems, Data Science or related field.

• 1 year industry experience from co-op, internships, and summer, with work in a quant or data scientist field preferred.

• Good customer facing, business communication and organizational skills.

• Knowledge of SQL, Unix, SAS, R, Hive, Python, Scala, Spark in a big data environment to build, test, evaluate, and maintain robust data analysis and models (experience with machine learning tools, and/or Open Source tools such as R and Python required).

• Aptitude for analytical concepts; great attitude and work ethic.

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to liaise the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work

  • Healthcare including dental, vision, mental health, and well-being programs

  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan

  • Paid time off and paid holidays

  • Paid parental leave

  • Family building benefits like adoption assistance, surrogacy, and cryopreservation

  • Social well-being benefits like subsidized back-up child/elder care and tutoring

  • Mentoring, coaching and learning programs

  • Employee Resource Groups

  • Disaster Relief

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Ref. code: 98974

Posted on: Nov 4, 2024

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

Bridgewater, US

Brand: Capgemini

Professional Community: Software Engineering

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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