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Data Analyst Jobs in Ridgefield, CT (NOW HIRING)

Element Solutions Inc

SIOP Analyst

West Haven, CT · On-site

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 ...

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All JobsData Analyst JobsData Analyst Jobs in Ridgefield, CT

Data Analyst information

See Ridgefield, CT salary details

$33.9K

$82.3K

$135.4K

How much do data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst in Ridgefield, CT is $82,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 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.
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What are the most commonly searched types of Data Analyst jobs in Ridgefield, CT?

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

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For Data Analyst jobs in Ridgefield, CT, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Ridgefield, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,305 per year, or $39.6 per hour.

Data Analyst - White Plains, NY 10601

Amicis Global

White Plains, NY • On-site

$45 - $50/hr

Contractor

PTO

Re-posted 28 days ago

Key responsibilities

  • Assist in developing PowerBI and Tableau dashboards and data models in collaboration with the MFS team.

  • Convert legacy Excel models into Tableau and/or PowerBI models and establish links to create custom dashboards.

  • Connect to multiple source data systems and incorporate advanced analytics by refining dashboard filters and slicers.

Job description

Position Title Data Analyst
NYPA Business Unit Customer Solutions
Experience Level 1 (1-5 years)
Work Location White Plains Office
Anticipated Start Date Immediate
Duration of Assignment 12 month(s)
Project/Assignment Staff Augmentation
CWP Manager Christine.Prendergast@nypa.gov
Date of Posting 07/07/2026
Due Date 07/22/2026

Work Schedule
Monday through Friday. 7.5-hour workday with .5-hour unpaid lunch. Paid for actual time worked; there are no paid vacation or sick days. During NYPA and Canals holidays, the business is closed, and no work is permitted. NYPA requires a hybrid schedule of a minimum of 3 days on-site, up to including fully on-site depending on department requirements.

CWPO Engagement Requirements
Candidates are REQUIRED to be local to Tri-State area and in W2 tax status as employee of Service Provider.
Fully remote positions are prohibited. Hybrid schedules are permissible with a minimum of 3 days on-site depending on assignment and can be fully on-site depending on business needs. Remote work privileges can be revoked at any time.
NYPA does not provide laptops. Instead, NYPA provides desktops and dedicated workstations which candidates will remote into from their personal equipment on virtual days.
If candidate does not have proper equipment, internet connection, or he/she is deemed to not work effectively from home, the hybrid privilege will be revoked.
Vendors must disclose foreign national status and all Visas at the time of candidate submission. Additionally, a Benefits Waiver and Ethics Disclosure will be required by all candidates during onboarding.

Submission Instructions
Your email submissions must contain:
The LEGAL name of candidate (no aliases, monikers, or nicknames)
Job Broadcast number in your email subject header
Visa work authorization, if applicable
For job broadcasts outside your contractual compensation schedules, use competitive rates based on local and state compensation.
NYPA CWP staff will contact you if your candidate is selected to be interviewed, which is usually via MS Teams. Please inform your candidates that an interview does not indicate acceptance of the proposed labor rates.
NYPA prohibits the use of any AI tool during interviews.
For all questions or concerns, please contact Christine Prendergast at Christine.Prendergast@nypa.gov.

Project Overview
This Data Analyst will support and assist a team of analysts in performing analytics in the in the Market Forecasting Services (MFS) Group at the New York Power Authority. This position supports the teams efforts in refining requirements and collaborating with NYPA staff to develop Tableau and PowerBI dashboards and recurring plug and play reports. The supporting data models would be pulling data from various sources and types; such as Legacy Excel models/data sets, SharePoint Lists, SQL Server databases, etc.

Job Functions & Responsibilities
• The qualified candidate will be able to expertly assist in providing direction and/or developing PowerBI and/or Tableau dashboards and foundational data model and transformations in collaboration with the MFS team.
• Converting Legacy Excel models into Tableau and/or PowerBI models.
• Provide subject matter expertise and assistance in developing PowerBI/Tableau visualization solutions based on requirements provided by MFS team.
• Assess requirements and analyses and make recommendations.
• Incorporate the use of M365 and Microsoft Power Platform components.
• Connect to multiple source data systems on varied platforms.
• Creating databases of legacy information and establishing links to Tableau/PowerBI to create custom dashboards.
• Provide the team with advance analytics by defining and refining slicers, filters, and Legends across Dashboard reports.

Skills
• Excellent communication skills and ability to work in Team environment.
• Extensive experience in the Microsoft Power Platform – MS PowerApps, Excel, Access and specifically, visualization software PowerBI.
• General understanding of building SQL Databases.
• Keen understanding PowerApps formulas and development methods.
• Understanding of how to implement solutions with multiple data sources.

Education & Certifications
• 4 year degree