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Junior Data Analyst - Recruiting for Recent Grads in NYC and Chicago!

Title: Junior Data Analyst
Location: NYC and Chicago

You will be working with Capgemini’s Banking and Insurance clients for developing, testing and maintaining business applications after an initial 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.

Responsibilities:

  • Collaborate with the 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.
  • Must be open to relocation.

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

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 communicate 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.

Salary Transparency:
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role.

The salary range for the tagged locations are $60,000-$65,000 USD annually. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.