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Data Analytics Jobs in Manchester, CT (NOW HIRING)

Saksoft

Business Data Lead - Hybrid

East Hartford, CT · On-site

Experience in understanding the business need and designing their Data Analytics platform * Experience in delivery of complex consulting projects in Data Analytics practices * Should have a good ...

New

TecTammina

Business Data Analyst

Hartford, CT · On-site

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT · On-site

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

USM

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

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All JobsData Analytics JobsData Analytics Jobs in Manchester, CT

Data Analytics information

See Manchester, CT salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Manchester, CT is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.64 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 Manchester, CT look for? The top searched job categories for Data Analytics jobs in Manchester, CT are:
What cities near Manchester, CT are hiring for Data Analytics jobs? Cities near Manchester, CT with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Manchester, CT 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 $116,189 per year, or $55.9 per hour.

Business Data Lead - Hybrid

Saksoft

East Hartford, CT • On-site

Other

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

Job description

Hi,

We have a new employment opportunity. Looking for Consultants for the below requirement. I''''m a talent acquisition professional at Saksoft, Siva Parvathi.

Please share your resume at

 

Position: Business Data Lead

Location: Hartford, CT – Hybrid

Duration: Long-term

 

Job description:

Experience: 8-10 Years

 

Technical Skills Primary

  • Primary Technologies: Azure Data Factory, Power BI ETL
  • Database Technologies: SQL, MS SQL Server, Relational Databases
  • Should be very strong in database concepts
  • Strong knowledge and experience working in the Insurance PC domain. Familiar with Insurance PC processes and terminologies
  • Experience working directly with CXOs'''' delegates to deliver transformational initiatives
  • Experience in understanding the business need and designing their Data Analytics platform
  • Experience in delivery of complex consulting projects in Data Analytics practices
  • Should have a good understanding of data technology and organizational challenges facing Financial Risk and Operations

 

Technical Skills Secondary good to have

  • Data Solution architect with expertise in delivering Business Intelligence analytics solutions and deep Insurance PC domain knowledge. Skills
  • Lead: Assist with architectural strategic thinking, information solutions and roadmaps to drive architectural recommendations
  • Drive technical vision and architecture designs to consensus across multiple teams
  • Experience in data migration from on-premises databases to the cloud
  • Facilitate the discovery of entities, attributes, relationships and business rules from the functional experts and the user community
  • Understand potential impacts of proposed solutions on other systems, processes or projects. Articulate and document data designs considering trade-offs, cost, and benefits

Soft Skills

  • Must have Excellent communication, interpersonal and listening skills
  • Strong Insurance Domain Knowledge
  • Ability to design and present the architecture to Senior leadership of the customer
  • Strong ability to work with client stakeholders
  • Strong on stakeholder management
  • Requirement Review and Work Effort Estimation

Skills

Mandatory Skills: Microsoft Fabric, Power BI

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