ZipRecruiter

Log In

1

Data Analyst Computer Science Jobs in Vermont (NOW HIRING)

ND Group

Data Scientist

Montpelier, VT · On-site

$46.15 - $66.67/hr

Provide support for all departments with analytical and predictive needs. * Prepare needed ... Advanced computer skills. * Excellent listening and feedback skills. * Good problem solving skills.

Pwc

NGA AI Engineer Manager

Montpelier, VT · On-site

$73K - $244K/yr

... Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred - Demonstrating exceptional team leadership abilities - Managing client ...

next page

Showing results 1-20

All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Vermont

Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What are popular job titles related to Data Analyst Computer Science jobs in Vermont? For Data Analyst Computer Science jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Vermont look for? The top searched job categories for Data Analyst Computer Science jobs in Vermont are:
What cities in Vermont are hiring for Data Analyst Computer Science jobs? Cities in Vermont with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Vermont as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Director of Data Analytics (P&C Insurance, Underwriting, Reinsurance)

Director of Data Analytics (P&C Insurance, Underwriting, Reinsurance)

Church Pension Group

Bennington, VT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

For more than 90 years, The Church Insurance Companies (CIC) has focused on providing The Episcopal Church with broad, cost-effective property and casualty coverage, as well as unique risk management strategies and tools. This team takes a disciplined, financially sustainable, and hands-on approach.

We are seeking a proactive, business-minded Director of Data Analytics / Data Scientist to partner with management in turning policy, premium, and loss data into decisions on pricing, reserving, reinsurance, capital, and underwriting.

The role owns the end-to-end workflow: mining data, building rate and reserve indications, supporting reinsurance renewals, evaluating capital adequacy, collaborating with consulting actuaries, and presenting to executives. This is a highly visible individual contributor role that is designed for a hands-on expert who wants to drive significant business impact.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
Rate making & Rate Indications
  • Produce overall and by-segment rate indications for personal and commercial lines, covering loss/premium trend, development, credibility, and expenses.
  • Support classification ratemaking and develop rating factors using standard actuarial approaches.
  • Prepare rate summary exhibits for communicating the proposed rate level need and findings to Company management. Be able to justify and defend proposed rate levels
Reserving & Reserve Indications
  • Maintain reserving triangles by line and accident year; produce quarterly and ad-hoc indications using chain-ladder, Bornhuetter-Ferguson, expected loss ratio, and frequency-severity methods.
  • Analyze reserve adequacy and movement, explaining variances in business language.
  • Partner with claims on case reserve philosophy, large losses, and claim-handling shifts.
Reinsurance Renewal & Structure
  • Own the data workstream for the annual renewal: in-force listings, premium/exposure, loss runs, large loss detail, and cat model output.
  • Respond to reinsurer questions and data calls, working with brokers, underwriting, claims, and finance.
  • Evaluate alternative structures (quota share, per-risk excess, aggregate, cat XOL) across attachments, limits, and cede percentages.
Cause of Loss & Trend Studies
  • Run cause-of-loss studies (water, theft, wind/hail, BI, auto physical damage) to identify frequency and severity drivers.
  • Quantify effects of inflation, weather, legal environment, social inflation, and repair/medical costs.
  • Translate findings into action on underwriting, coverage forms, deductibles, and rating plans.
Reporting & Ad-Hoc Analysis
  • Maintain recurring reports on loss/combined ratios, production, retention, rate change, and profitability by program, state, agent, and class.
  • Respond to ad-hoc leadership requests with accurate, documented answers.
Communication & Implementation
  • Present findings in plain, business-focused language and translate them into concrete recommendations on rate, tier, underwriting, reinsurance, and product.
  • Partner with IT, underwriting, and product to implement rating changes-writing requirements, testing, and validating production.
  • Effective performance of the essential functions of this position requires regular in-person, on-site interaction with colleagues, both for purposes of relationship building and meaningful collaboration
QUALIFICATIONS
  • Demonstrated production of rate or reserve indications from raw data through executive-ready deliverables.
  • Hands-on experience with large policy, premium, and claims datasets.
  • Exposure to reinsurance renewals, capital adequacy, and outside consulting actuaries preferred.
  • Expert Excel (pivot tables, advanced formulas, exhibit workbooks for rate changes and reserving).
  • Experience with a BI/visualization tool (Power BI, Tableau, or similar).
  • P&C fundamentals: earned/written premium, loss development, IBNR, ALAE/ULAE, LDFs, loss/combined ratio, credibility, trend, and rate change.
  • Standard ratemaking (loss ratio, pure premium, GLM) and reserving methods (chain-ladder, BF, expected loss ratio).
  • U.S. state rate filing and SERFF (a plus).
  • Reinsurance structures and how cessions affect net results, surplus, and volatility.
  • Capital frameworks: NAIC RBC, AM Best's BCAR, and economic capital.
  • Proactive and self-directed; drives analyses to completion.
  • Excellent communication; explains technical concepts clearly.
  • Strong business acumen and intellectual curiosity.
  • High integrity and attention to detail.

EDUCATION & EXPERIENCE

  • 10+ years in data analysis, actuarial, or data science, with 5+ years supporting a P&C insurer, MGA, reinsurer, or consulting firm.
  • Bachelor's preferred in Mathematics, Statistics, Economics, Data Science, Computer Science, or related quantitative field.
PHYSICAL DEMANDS
Extensive use of a computer keyboard is a demand of the position to perform the essential functions of this job successfully.
WORK ENVIRONMENT
Currently, hybrid work environment, which requires working in CIC's office Tuesdays through Thursdays and exibility to work remotely on Mondays and Fridays. Church Pension Group employees must maintain a professional, compassionate, and trustworthy work environment always. Reasonable accommodations may be made to enable someone with a disability to perform the essential functions of the job within this environment.
Success in the first 12-months will look like:
  • Independently complete one rate indication and one reserve indication cycle with executive presentation.
  • Deliver a cause-of-loss study that drives a concrete rating or underwriting action.
  • Own data and analytics for a full reinsurance renewal and recommend a structure.
  • Deliver a capital adequacy review that informs a decision on capital, reinsurance, or growth.
  • Build a productive relationship with outside consulting actuaries on reserve methodology.
  • Stand up at least one automated recurring report replacing a manual process.
  • Earn the management team's trust as a go-to analytical partner.

Salary Range: $150,000 - $175,000

Join us and Create A Better Future For Yourself!

Flexible Benefits available to eligible employees:

  • Medical (including Vision)
  • Dental

Core Benefits automatically provided to eligible employees:

  • Employer funded defined benefit pension plan (five year vesting)
  • Employee Life Insurance
  • Spouse and Dependent Life Insurance
  • Accidental Death and Dismemberment (AD&D) Insurance
  • Short-Term Disability (STD) coverage
  • Long-Term Disability (LTD) coverage (elected as either pre-tax or after-tax)
  • Business Travel Accident Insurance
  • Worker's Compensation
  • Employee Assistance Program
  • Retiree health insurance (eligible after 10 years)
  • Retiree life insurance

Elective Benefits available to eligible employees:

  • 401(k) with matching contributions (immediate vesting)
  • Flexible Spending Accounts (FSAs)
  • Commuter Benefits

Educational Assistance Program available to eligible employees

Parental Leave available to eligible employees

Time Off available to eligible employees: Vacation, Sick, Personal and Holidays

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Please understand that, as a general policy, CPG does not sponsor visas.


CPG is an equal opportunity employer. We are committed to fair hiring practices and do not discriminate against job applicants or employees based on any protected characteristics. We also celebrate diversity and are committed to creating an inclusive environment for all employees.

If you are a CPG employee, please use your CPG email address when creating your profile to apply.

Employment Type: Regular Full Time

Apply