Data Process Analyst - Remote USA

 Published 2 months ago
    
 United States
Apply Now Please mention DailyRemote when applying

Disclaimer: Before you apply, please make sure the job is legit.

Attempting to apply for jobs might take you off this site to a different website not owned by us. Any consequence as a result for attempting to apply for jobs is strictly at your own risk and we assume no liability.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Process Analyst in United States.

As a Data Process Analyst, you will play a critical role in supporting data-driven decision-making across various business units. You’ll collaborate with finance, product, and operations teams to ensure data reliability, craft impactful insights, and design intuitive dashboards. This position requires both strong technical acumen and the ability to communicate complex information in accessible ways. You’ll be key in developing, maintaining, and documenting data products that support strategic goals while also enabling scalability and transparency across the organization.

Accountabilities:

  • Serve as a primary data partner to Finance and Accounting, providing accurate analytics and business insights.
  • Own and manage data pipelines, including writing ETLs and validating data for consistency and accuracy.
  • Develop dashboards and reporting tools that translate data into actionable business insights.
  • Represent the data team in stakeholder meetings, ensuring best practices for data use and interpretation.
  • Conduct detailed analysis on product performance, operational trends, and experimentation results.
  • Collaborate cross-functionally to drive data literacy and influence decisions with clearly communicated insights.

Requirements

  • Bachelor’s degree in a quantitative field, economics, or finance.
  • 1–2 years of experience using data to support business or product decisions.
  • Proficiency in SQL, with the ability to retrieve and process large datasets.
  • Strong communication skills, capable of tailoring complex data concepts to various audiences.
  • Exposure to data warehouse architecture and understanding of data design best practices.
  • Authorization to work in the U.S. without current or future employer-sponsored visa support.
  • Preferred: Graduate degree in a relevant field and working knowledge of Python or R.

Benefits

  • Competitive compensation structure
  • Fully remote work environment
  • Inclusive and supportive workplace culture
  • Opportunities for professional growth and continuous learning
  • Access to mental health resources and wellness programs
  • Open and collaborative team culture with a mission-driven focus
  • Participation in projects with real-world impact on sustainability and urban mobility
  • Equal opportunity employer committed to diversity and inclusion

Jobgether Hiring Process Disclaimer


This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.


Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.


Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.


If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.


Thank you for your interest!

#LI-CL1

Ace Your Job Interview

Read our advice on how to answer the most common interview questions.