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Data Analytics Jobs in Bennington, VT (NOW HIRING)

MSCCN

Operations Analyst - Pittsfield, MA

Pittsfield, MA · On-site

$75K - $100K/yr

Additional Qualifications/Responsibilities Basic Qualifications Bachelor's degree preferably in applied mathematics, statistics, data science, data analytics or equivalent combination of education ...

Iterative Health

Staff Data Scientist

Cambridge, NY

Fluent in Python and SQL, comfortable working across the data stack from exploratory analysis through to production-ready pipelines * Experience working across data science, product, and engineering ...

Iterative Health

Staff Data Engineer

Cambridge, NY · On-site

Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model ...

Globalfoundries

Sr Lead Data Systems Engineering

Malta, NY

$108K - $147K/yr

Strong analytical and data modeling skills including logical and physical schema design * Deep understanding of database technology and data use within analytic platforms * Hands-on expertise in Ab ...

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Data Analytics information

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$23

$52

$91

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Bennington, VT is $52.80, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $59.81 per hour, depending on experience, location, and employer.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in Bennington, VT look for?

The top searched job categories for Data Analytics jobs in Bennington, VT are:

What cities near Bennington, VT are hiring for Data Analytics jobs?

Cities near Bennington, VT with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Bennington, VT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,815 per year, or $52.8 per hour.

Data & Analytics Delivery Manager

Pittsfield, MA • On-site

Berkshire Health Systems

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

People enjoy working here

Good employer

Recommended by parents

Learn more about Berkshire Health Systemsexternal

$42.77/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

  • JOB SUMMARY
    •  

    • The Data & Analytics Delivery Manager is responsible for managing the intake, coordination, and delivery of analytics work across Berkshire Health Systems’ analytics hub-and-spoke model. This role serves as the primary connector between analytics teams, clinical and operational partners, IT, Quality, and other spokes—ensuring analytics initiatives are clearly defined, prioritized, delivered, and adopted.

      This role complements the Director of Analytics by focusing on portfolio execution, delivery flow, and cross-functional coordination, enabling timely and high-value analytics outcomes without being embedded in technical build or analytics production work.

  • JOB REQUIREMENTS
    • Experience:
        • Three years of experience in project management, portfolio management, analytics delivery, healthcare operations, IT delivery, or related roles.
        • Experience coordinating work across cross-functional teams in a complex healthcare environment.
    • Education:
        • Bachelor’s degree in business, Healthcare Administration, Information Systems, Public Health, or related field required.
    • Licensure & Certifications:
        • None.
  • SKILLS & ABILITIES
      • Strong portfolio, program, or project delivery management skills.
      • Excellent organizational and prioritization abilities across multiple concurrent initiatives.
      • Ability to translate business and clinical needs into clear, actionable delivery plans.
      • Strong communication skills, with the ability to work effectively with executives, clinicians, operational leaders, and technical teams.
      • Comfort operating in ambiguity and helping teams move from ideas to execution.
      • Demonstrated ability to build trust and foster collaboration across functions.
  • WORKING RELATIONSHIPS
    • Title of position(s) supervised:
      • N/A.

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