Analyst Program - Data Engineer

FiservAlpharetta, GA
Onsite

About The Position

The Fiserv Technology Analyst Program is a two-year, early career development experience designed to accelerate your growth in the fintech industry. Through two structured assignments within a specific technology track, analysts gain hands-on experience, build technical and professional skills, and collaborate across teams to solve real business challenges. As a performance-driven company, Fiserv is committed to developing emerging talent and creating opportunities for those who demonstrate initiative, growth, and impact. The program includes formal training, mentorship, and exposure to senior leadership, supporting long-term career development within the organization. As an Analyst Program - Data Engineer on the Data Commerce Solutions team, you will support the development of data-driven solutions by working with large datasets and modern data tools that help generate insights across commerce and financial services. You will partner with analysts and cross-functional teams to build, improve, and document data pipelines and processes that support fraud insights, economic trend analysis, and customer-focused solutions.

Requirements

  • 0-2 years of professional work experience in data engineering, data analysis, software development, reporting, or a related field.
  • Experience using programming, query, or data processing tools such as Python, Java, R, SQL, or similar technologies through coursework, internships, military experience, or related experience.
  • Experience working with large datasets and supporting data ingestion, cleansing, transformation, or documentation activities.
  • Bachelor's degree in Computer Science, Data Science, Management Information Systems, Cybersecurity, Technical Project Management, or a related technology field, completed in December 2024 or later, or equivalent combination of education, related experience and/or military experience.
  • Must have earned and maintain a cumulative 3.0+ grade point average.
  • Must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.

Nice To Haves

  • Experience with data visualization tools such as Power BI or Tableau.
  • Advanced knowledge of Microsoft Excel and Microsoft PowerPoint.
  • Exposure to financial services, commerce, fraud analytics, or customer insight use cases.
  • Ability to adapt to changing priorities while supporting multiple assignments.

Responsibilities

  • Support data collection, cleansing, and analysis activities across large and complex datasets.
  • Develop data pipelines for ingesting, transforming, and cleansing data to improve data quality and analytical readiness.
  • Assist with creating data visualizations and reporting outputs to communicate findings to business and technical stakeholders.
  • Document data processes, methodologies, and workflow standards to support consistency, repeatability, and knowledge sharing.
  • Collaborate with senior analysts and partner teams to support data-driven solutions, operational reporting, and analytical initiatives.
  • Use data tools and technologies to identify patterns, validate source data, and contribute to scalable data engineering practices.

Benefits

  • Fuel Your Life program to support your physical, financial, social, and emotional well-being.
  • Paid holidays and generous time away policies.
  • No-cost mental health support through Employee Assistance Programs.
  • Living Proof program to recognize your peers’ extra effort with points redeemable for rewards.
  • Eight Employee Resource Groups to foster a collaborative culture and expand your network.
  • Unparalleled professional growth with training, development, and internal mobility opportunities.
  • Medical, dental, vision, life, and disability insurance options available from day one.
  • Retirement planning and discounted shares with the Employee Stock Purchase Plan.
  • Tuition assistance and reimbursement program.
  • Paid parental, caregiver, and military leave.
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