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Data Analytics Jobs in Vernon, CT (NOW HIRING)

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. * Performs requirements ...

MANTECH

Senior Data Scientist

Springfield, MA

Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ... Utilize data-driven insights to recommend significant changes and process improvements. * Process ...

MANTECH

Senior Data Scientist

Springfield, MA · On-site

Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models ... Utilize data-driven insights to recommend significant changes and process improvements. * Process ...

Collabera

Data Analyst

Hartford, CT

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

Infosys Limited

Data Analyst

Hartford, CT · On-site

$70 - $90/hr

Technical Skills 3 Technology|Analytics - Solutions|SQL Server - Analytics Technical Skills 4 ... SQL skills * Data analysis and interpretation * SSIS and SSRS skills Additional Required ...

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All JobsData Analytics JobsData Analytics Jobs in Vernon, CT

Data Analytics information

See Vernon, CT salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analytics in Vernon, CT is $54.72, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $61.97 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 cities near Vernon, CT are hiring for Data Analytics jobs?

Cities near Vernon, CT with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Vernon, CT as of August 2026, with employment types broken down into 2% Internship, 78% Full Time, 5% Part Time, and 15% Contract. Highlights an 80% In-person, 11% Hybrid, and 9% Remote job distribution, with an average salary of $113,816 per year, or $54.7 per hour.

Program Manager -Data Analytics

East Hartford, CT • On-site

Saksoft
See more jobs at Saksoftexternal

Other

Posted 13 days ago

Job description

 

Seasoned Data Modernization Program Manager to lead largescale enterprise data transformation initiatives This role will drive endtoend modernization from legacy platforms eg SSIS SQL Server to modern cloudbased architectures eg Snowflake while acting as the primary interface between business stakeholders data engineering teams and leadership

Experience

15 years of experience in Data  Analytics  Data Engineering  Program Management

Proven experience managing large data modernization  migration programs

Strong experience in Insurance domain PC preferred

Exposure to AIdriven data engineering  automation frameworks

Experience transitioning programs into Managed Services MSM models

Strong program management experience multimillion programs preferred

Proven ability to manage distributed teams onshoreoffshore

Excellent stakeholder management and executive communication

Technical Skills

Strong understanding of

Snowflake data warehousing performance cost optimization

SSIS  legacy ETL platforms

Data migration frameworks and tools

Exposure to

Cloud platforms Azure  AWS

ELTETL orchestration data pipelines CICD

Data quality governance and validation frameworks

Key Responsibilities

Program Delivery  Execution

Lead endtoend delivery of data modernization programs  discovery design migration validation and stabilization

Drive execution across multiple pods and crossfunctional teams onshoreoffshore

Ensure adherence to timelines quality benchmarks and cost functions

Act as a technical mentor for teams in the program

Drive strategic conversations with the customer

Data Modernization  Architecture Oversight

Provide strong oversight on data architecture migration approach and targetstate design

Drive transformation from legacy ETL SSIS to modern cloudbased data platforms Snowflake

Ensure data quality validation reconciliation and downstream system alignment

Stakeholder  Business Engagement

Act as the primary point of contact POC for business client stakeholders and leadership

Drive requirement alignment with business domains and downstream

Lead governance forums Executive Program Reviews WSR budgeting MOC

Governance Risk  Compliance

Establish strong program governance reporting cadence and escalation management

Identify and mitigate risks related to data migration downstream integration and performance

Ensure compliance with regulatory audit and data governance standards

Practice Leadership  Solutioning

Act as data practice anchor for the account

Support solutioning estimations and SOW development for supplemental data programs

Drive standardization best practices and continuous improvement

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