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2026 Advance Program Data Associate (DC)
2026 Advance Program Data Associate (DC)Lovelytics • Washington, DC, US
2026 Advance Program Data Associate (DC)

2026 Advance Program Data Associate (DC)

Lovelytics • Washington, DC, US
[job_card.30_days_ago]
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  • [job_card.full_time]
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Job Description

Job Description

Lovelytics is looking for new Associate members of our Advance Program!

“Advance” program hires the brightest minds from engineering universities who are seeking to be full-time data professionals. Our proprietary Advance Innovation Lab (AI Lab) finetunes technical and problem-solving skills to focus highly-motivated individuals to deliver solutions for Lovelytics' clients across business analysis, data science, cloud, data engineering, and visual engineering roles. Individuals achieve by learning side-by-side and growing as one community, united by creativity, positivity, and innovation.

Candidates must be able to work out of our Arlington, VA office on a hybrid schedule (2+ days a week).

This role is not eligible for sponsorship at this time.

Primary Responsibilities

  • Work as part of a collaborative team.
  • Learn a variety of data skills, including data analysis, data engineering, and data science.
  • Identify client data needs and develop data-driven solutions.
  • Apply technical knowledge to client project needs.
  • With oversight of senior technical team members, own your assigned work and help the team successfully deliver on technical projects.

Qualification

  • A Degree in Information Systems, Computer Science, or equivalent.
  • Experience developing computer-based solutions or data science models.
  • Familiarity with the AWS or Azure or Databricks
  • An interest in learning and working with a wide range of cutting-edge technologies and cloud services.
  • Enthusiasm to solve a variety of technology- and data-based problems
  • Some experience with SQL and Python.
  • Business acumen and an ability to understand the data needs of various industries.
  • A drive and flexibility to do what it takes to get the job done.
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