ZipRecruiter

Log In

1

Data Analytics Jobs in Rutland, VT (NOW HIRING)

Marathon Health

Client Success Manager

Tyson, VT · On-site

$80K - $110K/yr

In collaboration, analyze, summarize, report and manage performance data related to clinic operations. Understand and track risk metrics related to the success of the partnership. * Salesforce ...

Lantern

Strategy Analyst

Rutland, VT · On-site

Analyze claims and cost savings data to drive insights for reporting and product improvement * Conduct market research and competitive analysis to identify industry trends and business opportunities

EverCommerce

Analyst, Growth

Rutland, VT · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial modeling, business case development, and strategic presentations * Track progress of key ...

PNC Bank

Marketing Specialist Sr

Tyson, VT · On-site

$81K - $101K/yr

Monitor campaign performance, analyze engagement data, and deliver actionable recommendations to improve outcomes and ROI. Preferred Qualifications: 3+ years of B2B or C2B marketing experience ...

New

The Methodical Group

Lead HVAC Technician

Rutland, VT · On-site

$45K - $59K/yr

... Data & Analytics, and IT Operations, aiming to help organizations worldwide drive digital transformation, improve efficiency, and maintain a competitive edge. About the Opportunity: Our client is ...

next page

Showing results 1-20

All JobsData Analytics JobsData Analytics Jobs in Rutland, VT

Data Analytics information

See Rutland, VT salary details

$25

$56

$96

How much do data analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data analytics in Rutland, VT is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $63.46 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What job categories do people searching Data Analytics jobs in Rutland, VT look for? The top searched job categories for Data Analytics jobs in Rutland, VT are:
What cities near Rutland, VT are hiring for Data Analytics jobs? Cities near Rutland, VT with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Rutland, VT as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $116,550 per year, or $56 per hour.
Lake Champlain Microbial Ecology and Bioinformatics SRA (Summer 2026 900572)

Lake Champlain Microbial Ecology and Bioinformatics SRA (Summer 2026 900572)

Middlebury College

Middlebury, VT • On-site, Remote

$15.20/hr

Part-time

Re-posted 13 days ago

Middlebury College rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

327th of 555 rated colleges and universities

Job description

This is position is paying $15.20 per hour.

This summer research assistant will work to analyze microbial amplicon, metagenomic, and viromic datasets. This will include dataset QA/QC, descriptive statistics, differential analysis, and working to elucidate meaninful descriptions of microbial communities across three Lake Champlain sites and similarities and differences across sites and between seasons

Core Responsibilities:

  • Utilize R and high performance computing resources for data analysis.
  • Keep detailed records and descriptive code to contribute to data analysis pipeline SOPs.
  • Complete data visualizations of microbial community data toward 1-2 manuscripts for publication.
  • Gain biological understanding of Lake Champlain microbial communities, and how they relate to site and seasonal differences

Requirements

  • Proficient in manipulating data using R and/or Python
  • Have taken one or more of these courses, or their equivalent, BIOL 211, STAT 116, STAT 118, STAT 201, CSCI 321
  • Ideally have taken BIOL 140 and/or BIOL 145, but not required.
  • Self-motivated and organized, good at managing self-directed schedule.
  • Can work remotely, on campus, or a mix of both, for ~40hrs/wk for 8-10 weeks summer 2026

Student Employment Eligibility:

Unless restricted by certain visa status, all students with an active status for the semester are eligible for jobs on campus.

Students on leave or withdrawn are not eligible to work in student employment positions until the semester in which they return. If you are currently withdrawn or on leave you are eligible to be employed in staff positions.

Some may be restricted due to financial aid status. International students (non-resident aliens) may not work off campus unless they have applied for and received work authorization from the United States government. (An F-1 visa does not give work authorization.) Off campus work study positions are available only to U.S. citizens on financial aid with a federal work study component.

Student are not eligible to work remotely from International locations.

Hour Limitations:

All student employees are limited to working no more than 20 hours per week in on campus jobs during the academic year (this includes exam periods). The only exception is when there is a full week when school is not in session. Specifically: February recess, Spring recess, and full weeks of December or summer recess. During these time periods only, students can work up to 40 hours per week. International Students: Visa restrictions prohibit international students from exceeding 20 hours of work per academic calendar week.

What Middlebury College employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply