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Remote Quantitative Analyst Jobs in Waterville, ME

Remote Quantitative Analyst information

See Waterville, ME salary details

$56.4K

$133.6K

$239.6K

How much do remote quantitative analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote quantitative analyst in Waterville, ME is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $145,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Quantitative Analysts, and how can they be addressed?

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

What are the key skills and qualifications needed to thrive in the Remote Quantitative Analyst position, and why are they important?

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What is a Remote Quantitative Analyst job?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What are popular job titles related to Remote Quantitative Analyst jobs in Waterville, ME? For Remote Quantitative Analyst jobs in Waterville, ME, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Analyst jobs in Waterville, ME look for? The top searched job categories for Remote Quantitative Analyst jobs in Waterville, ME are:
What cities near Waterville, ME are hiring for Remote Quantitative Analyst jobs? Cities near Waterville, ME with the most Remote Quantitative Analyst job openings:
Infographic showing various Remote Quantitative Analyst job openings in Waterville, ME as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Google Data Analytics Expert : REMOTE POSITION.

Software People, Inc.

Augusta, ME • Remote

Contractor

Re-posted 10 days ago


Job description

Please Let me know your Interest and Rate for this position.

Phone/Skype Hire. Remote

Location: REMOTE

Duration: 12+ months

This position is part of the Enterprise Data Services group and will work with the Digital Services program within the Office of Information Technology. The Digital Services program is essential for designing and overseeing the implementation of a customer-centric online application to simplify State government and digital services. While working alongside vendor contractors and the Digital Service program team, you will be relied upon for all aspects of data analysis and exploration while providing valuable analytical insights to support department initiatives and assist in making data-driven program decisions. This position will able be responsible for incorporating a repository of data from the online application into an existing warehouse and presenting data in PowerBI dashboards and reports.

Responsibilities  

  • Analyze and understand State requirements.
  • Participate as subject matter expert of source data, develop data catalogue, and perform user acceptance testing for Digital Services program.
  • Provide expertise for data sharing, data visualization, and understand, configure, and enforce access rules.
  • Understand KPIs and present related data in a meaningful way.
  • Help establish frequency and schedule of data extraction, review data quality, and adhere to transformation rules.
  • Develop reports, dashboards, and visualize data in a meaningful way based on given requirements.
  • Participate in project briefing and brainstorming.
  • Using detailed and general knowledge of the end-to-end workings of how systems work, assist in any testing, trouble-shooting, and help implement fixes to resolve poorly functioning processes.
  • Assist in solution documentation, diagrams, and technical specifications.

Skills Needed

  • Google Analytics experience.
  • Experience extracting data from source system to target data warehouse.
  • Expert knowledge of Power BI data visualization and analysis tools.
  • Five+ years of relevant experience in the following:

o             Extracting data from source system to target data warehouse.

o             Data analysis, quality, and reporting.

•             Expert knowledge of Power BI data visualization and analysis tools.

•             Ability to read and follow regulatory requirements on State and Federal levels.

•             Strong information architecture and integration strategy skills.

•             Excellent communication and interpersonal skills.

•             Ability to work independently and as part of a team.