Remote Jobs · San Diego, California, US

Data Analyst I

OpenFull-timePay not stated

Open — Remote Jobs has a posting for this job. Posted 11 Nov 2026.

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Posted 11 Nov 2026 · Full-time · Pay not stated

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About this job

Welcome to Verdantas, where innovation meets sustainability, and your career finds purpose!

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use of cutting-edge modeling and digital technology and our genuine commitment to people. Our work spans high-growth sectors like water resources, resilient land use, energy transformation, and civil infrastructure.

Our commitment to excellence, across more than 90 offices, is championed by a team of over 2,000 experts, scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture, prioritizing the well-being of our employees, clients, and the communities we serve. We partner with clients to deliver smart, data-driven solutions to complex environmental and infrastructure challenges. We don't just solve problems; we help shape a more sustainable future.

Join a people-first culture that values your well-being, empowers your growth, and amplifies your impact. At Verdantas, your career goes beyond the expected, and your work helps build a better world.

Ready to shape the future of resilient communities?

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data analytics to real-world projects across our teams.

What You'll Do:

  • Assist with collecting, cleaning, and organizing data from multiple internal and external sources
  • Support the development of dashboards, reports, and visualizations to communicate key insights
  • Analyze datasets to identify trends, patterns, and opportunities for improvement
  • Collaborate with cross-functional teams to understand data needs and business objectives
  • Help document data processes and ensure data accuracy and consistency
  • Gain exposure to real-world analytics applications in consulting, operations, and project delivery

What You Bring:

  • Bachelor's degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Familiarity with Excel and/or data visualization tools (Power BI, Tableau, or similar)
  • Exposure to SQL, Python, R, or similar tools is a plus
  • Ability to clearly communicate findings and work collaboratively
  • Curiosity, initiative, and eagerness to learn in a fast-paced environment

Salary Range:

$30.00 - $33.00

Benefits:

  • Flexible Work Environment
  • Paid Parental Leave
  • Medical
  • Dental
  • Vision
  • Life and AD&D Insurance
  • Short-Term and Long-Term Disability
  • 401(k) with Company Match
  • Paid Time Off + Holidays

Verdantas strives to develop new ways to increase diversity awareness within our organization. We recruit and reward our employees based on capability and performance - regardless of race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, or physical ability. For us, it is imperative to build balanced teams from all walks of life and we believe that a diverse workforce is a stronger workforce.

Verdantas is an EOE race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet

Read the full posting

Not this job's pay

What do Corporate – Information Technology jobs in California pay?

Talentify has no pay figure for this posting. The lines below are about Corporate – Information Technology jobs on Talentify in California as a group, computed by Talentify's job index across their postings. They are not the pay for this job.

Of the 1,283 Corporate – Information Technology jobs on Talentify in California, 344 list pay per year.

Taking the midpoint of each listed range, the middle half pay 106,437–186,225 USD per year and the median is 142,729 USD per year.

223 of these 344 name no currency; they are counted as USD because the jobs are in the United States.

Pay as employers listed it, not adjusted or verified. Updated 2026-11-13.

Computed on 2026-11-13 from the pay in 344 listings.

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