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Data Analyst Jobs in Durham, CT (NOW HIRING)

The SIOP Data Analyst supports the Sales, Inventory, and Operations Planning (SIOP) process through reporting, data analysis, and master data management. This role is responsible for maintaining data ...

Job Responsibilities: * Creation of outbound certifications for all shipments based on customer requirements. * Scan inbound certifications of raw materials and purchased parts and attach them to ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Showing results 21-40

Data Analyst information

See Durham, CT salary details

$33.2K

$80.7K

$132.7K

How much do data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst in Durham, CT is $80,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Durham, CT?

The most popular types of Data Analyst jobs in Durham, CT are:

What job categories do people searching Data Analyst jobs in Durham, CT look for?

The top searched job categories for Data Analyst jobs in Durham, CT are:

What cities near Durham, CT are hiring for Data Analyst jobs?

Cities near Durham, CT with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Durham, CT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,662 per year, or $38.8 per hour.

Enterprise Data Management Analyst

Conning

Hartford, CT

Full-time

Posted 5 days ago


Job description

Conning is a leading global investment management firm with a long history of serving the insurance industry.

We develop customized investment strategies that address our clients' unique objectives, requirements and tolerance for risk. We develop solutions by leveraging Conning's risk management tools and utilizing a highly disciplined investment process that relies on fundamental analysis.

Summary:

Maintain data quality at an enterprise level for various market data elements including but not limited to security master, corporate actions, security valuations, asset classifications, and quality ratings for fixed income and equity securities. Work closely with both data providers and consumers to address issues and concerns regarding data accuracy, consistency, and completeness.

The position also provides exposure to all aspects of the security life cycle, including but not limited to trading, new issue set up, credit and quality ratings, portfolio compliance, corporate actions, and pricing.

Essential Responsibilities:

- Create, implement, and maintain master data management solutions that enable users to optimize system capabilities.

- Analyze and research SMF investment data, reconciling data between various sources and internal systems.

- Apply knowledge of end-to-end data processes to analyze, cleanse, and enrich master data elements, ensuring data flows efficiently and consistently between users and stakeholders.

- Partner with Risk Management, Portfolio Management, Performance Management, Clients, Investment Operations, 3rd party consultants and external auditors to support a wide range of production related issues.

- Liaison with all front office departments to identify data requirements and appropriate data source(s) to meet the need. Collaborate among internal teams to create and maintain standard taxonomies for critical enterprise-wide investment data such as asset classifications and quality ratings.

- Provide data governance and ensure data integrity by coordinating data management efforts across the organization.

- Troubleshoot issues related to master data management and identify opportunities for improving data management processes.

- Collaborate with IT when modifications to existing configuration are deemed necessary in the Enterprise Data Management tool.

- Support all vendor management related processes as needed.

Requirements:

- Bachelor's degree in Business or a related field

- Minimum of 3 years of data management experience, preferably in financial or investment management industry

- Ability to contribute to moderately complex aspects of a project

- High level of interaction with internal & external customers

- Strong organizational, verbal and written communication skills

- Detail oriented, analytical mentality with problem solving, research, and follow-up skills

- Ability to meet tight deadlines and multi-task

- Ability to work independently and collaboratively in a team environment

- Advanced prioritization skills and experience with agile methodology

- Advanced knowledge of finance/accounting data and systems

- Experience with straight-through process management and project management is a plus

Technical Skills:

- Advanced experience working with Microsoft Excel, Microsoft Teams and Microsoft SQL Query

- Intermediate knowledge of database architecture and design

- Intermediate experience with Bloomberg data is a plus

- Intermediate experience writing Oracle SQL code is a plus

- Basic experience using visualization tools (Power BI) is a plus

- Basic experience using Extract Transform Loads (ETL's) is a plus

Conning is an equal opportunity employer. Our company embraces the principles of inclusion; our employees can bring the best version of themselves to work every day. We thrive in an environment where everyone's voice is heard, every idea counts, and the differences of our employees are valued. We provide reasonable accommodations to those who need them.

If you are unable to complete this application due to a disability, contact us to ask for an accommodation or an alternative application process.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Applicants must exhibit a strong commitment to meet compliance obligations reflecting Conning'score values of honesty and integrity; must accept responsibility for compliance in each role and comply with all applicable rules, regulations, and legal requirements.