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Data Analytics Jobs in Bennington, VT (NOW HIRING)

HRIS Analyst

Williamstown, MA · On-site

$70K - $80K/yr

Reporting & Analytics : Design and maintain dashboards and reports to drive strategic decision-making. Conduct data quality audits, manage mass data loads, and enforce data governance practices to ...

HRIS Analyst

Williamstown, MA · On-site

$70K - $80K/yr

Reporting & Analytics : Design and maintain dashboards and reports to drive strategic decision-making. Conduct data quality audits, manage mass data loads, and enforce data governance practices to ...

Branch Manager

Cambridge, NY · On-site

$63K - $95K/yr

Demonstrates moderate Excel proficiency and the ability to use data analytics to monitor performance, identify trends, and support decision-making. * Comfortable using relevant systems and business ...

Demonstrates moderate Excel proficiency and the ability to use data analytics to monitor performance, identify trends, and support decision-making. * Comfortable using relevant systems and business ...

The Senior Analyst, Transfer Pricing supports GF's Global Transfer Pricing function in executing ... Extract entity-level P&L and balance-sheet data from FCCS; ingest budget/forecast data from the LRP ...

Showing results 21-40

Data Analytics information

See Bennington, VT salary details

$23

$52

$91

How much do data analytics jobs pay per hour?

As of Aug 6, 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 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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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 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:
Infographic showing various Data Analytics job openings in Bennington, VT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,815 per year, or $52.8 per hour.

IT Manager, Application and Business Intelligence

cb20 Inc

Saratoga Springs, NY

Full-time

Re-posted 13 days ago


Job description

cb20 is a technology solutions provider of choice for organizations that value IT and Managed Services expertise and category-leading customer service.We partner with the world's leading hardware and software companies to deliver end-to-end consulting, implementation and managed services across the U.S. With world-class engineering talent and 30+ years of experience cb20 delivers confidence, security, a true sense of control and the highest- quality, end-to-end customer experience in the business.


The IT Manager, Application and Business Intelligence is responsible for leading the support, development, integration, and optimization of business applications and reporting solutions across the organization. This role partners closely with business leaders, operations, finance, supply chain, manufacturing, and IT teams to ensure systems and data solutions support business goals, improve decision-making, and drive operational efficiency.

The position oversees application management, business intelligence tools, data reporting, system enhancements, vendor coordination, and team leadership. The ideal candidate combines strong technical knowledge with business acumen, project management skills, and the ability to translate business needs into scalable technology solutions.

RESPONSIBILITIES:

Application Management

  • Manage and support core business applications, including ERP, MES, reporting, and departmental systems.
  • Oversee application configuration, upgrades, integrations, testing, documentation, and user support.
  • Partner with business teams to identify system improvements and process automation opportunities.
  • Ensure application reliability, performance, security, and compliance with company standards.
  • Manage relationships with software vendors, consultants, and implementation partners.


Business Intelligence and Reporting

  • Lead the development and maintenance of business intelligence dashboards, reports, and analytics solutions.
  • Work with stakeholders to define reporting requirements, key performance indicators, and data needs.
  • Ensure data accuracy, consistency, and integrity across reporting platforms.
  • Support data-driven decision-making through effective visualization, analysis, and reporting tools.
  • Promote best practices for data governance, reporting standards, and self-service analytics.


Leadership and Project Management

  • Lead, coach, and develop application support and business intelligence team members.
  • Manage project priorities, timelines, resources, and deliverables.
  • Coordinate cross-functional projects involving IT systems, process improvements, and data initiatives.
  • Communicate project status, risks, and recommendations to leadership and stakeholders.
  • Establish and monitor service levels, support procedures, and continuous improvement practices.


Business Partnership

  • Serve as a trusted technology partner to business departments.
  • Translate business requirements into technical specifications and practical solutions.
  • Evaluate current processes and recommend system or reporting improvements.
  • Provide training, documentation, and user guidance for supported applications and BI tools.
  • Support management efforts related to new systems, upgrades, and process changes.

Required Qualifications

  • Bachelor's degree in Information Technology, Computer Science, Business, Data Analytics, or a related field; equivalent experience may be considered.
  • 5+ years of experience supporting business applications, ERP/MES systems, business intelligence platforms, or enterprise reporting solutions.
  • 2+ years of supervisory, team lead, or project leadership experience.
  • Experience with business intelligence tools such as Power BI, SQL Server Reporting Services, or similar platforms.
  • Strong understanding of databases, data structures, reporting, integrations, and application support processes.
  • Experience gathering business requirements and translating them into system or reporting solutions.
  • Strong project management, problem-solving, communication, and organizational skills.
  • Ability to work effectively with both technical and non-technical stakeholders.


Preferred Qualifications

  • Experience in manufacturing, paper, packaging, distribution, or process-industry environments.
  • Experience with Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) systems or similar platforms.
  • Knowledge of SQL, data warehousing, ETL processes, APIs, or application integrations.
  • Experience with ITIL, change management, cybersecurity standards, or data governance practices.
  • Project management certification or experience managing system implementation projects.


Physical and Work Environment Requirements

  • Primarily office-based with routine travel to manufacturing and company locations as needed.
  • After-hours support for system upgrades, outages, or critical business needs.
  • Ability to work in a manufacturing or industrial environment when visiting operational sites.

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About cb20

Sourced by ZipRecruiter

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Schenectady, NY, US

Year founded

1981