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Senior Analytics Engineer Jobs in Connecticut (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Stamford, CT · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Manager

Hartford, CT · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Deloitte

Senior Forward Deployed Engineer- AWS

Hartford, CT · On-site

$105K - $144K/yr

... or analytics engineering. * 1+ years of hands-on experience building and deploying GenAI/LLM ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Stamford, CT · On-site

$111K - $153K/yr

... or analytics engineering. * 1+ years of hands-on experience building and deploying GenAI/LLM ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

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Showing results 21-40

All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Connecticut

Senior Analytics Engineer information

See Connecticut salary details

$56.6K

$120.4K

$174.6K

How much do senior analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior analytics engineer in Connecticut is $120,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $136,500.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Connecticut? The most popular types of Analytics Engineer jobs in Connecticut are:
What are popular job titles related to Senior Analytics Engineer jobs in Connecticut? For Senior Analytics Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Connecticut look for? The top searched job categories for Senior Analytics Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Senior Analytics Engineer jobs? Cities in Connecticut with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Connecticut as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $120,392 per year, or $57.9 per hour.

Sr. Analyst, Programming - Cloud BI

United Rentals - French

Stamford, CT • On-site, Remote

Full-time

Medical, PTO

Re-posted 26 days ago

Job description

Great company. Great people. Great opportunities.

If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals. As an experienced Sr. Cloud BI Developer for development and creation of enterprise reporting.

This role will be assisting business users and Enterprise Reporting & Analytics team in the successful creation and delivery of Sigma/Tableau dashboards and reports for internal and external clients. What you'll do: Collect and analyze information requirements from business users (or an IT proxy); translate those needs into use cases, requirements analysis and the general design of the Enterprise Reporting applications. Develop Sigma/Tableau dashboards, visualizations and reports for complex problems.

Use innovative insights and creativity in evaluating different approaches to meeting business requirements Mentors the business and Analytics teams on Sigma/Tableau best practices, and act as a supporting resource for other developers. Ensure standards and best practices are established and met for consistent and accurate use of Tableau/Sigma across the company. Ensure data security, integrity, and compliance with company standards and regulatory requirements.

Assist Enterprise Reporting team in the Tableau administration, including user provisioning, server management, license administration, and version upgrades. Other duties assigned as needed Requirements: Bachelor's degree in Computer Science and Certifications in Sigma/Tableau software 5 + years of Tableau development, web APIs and administration experience. Minimum Tableau Certified Professional of good standing 1+ years of Sigma Computing development experience 5+ years of experience working with relational databases (Snowflake preferred) Strong SQL coding of at least 5 years.

Strong data modeling skills of at least 2+ years. Effective communicator both verbal and written. Ability to diagnose and resolve problems independently with creative approaches.

Ability to communicate standards and best practices and train report developers on their use. Ability to work with report developers, data modelers and business analysts to ensure the BI functional infrastructure meets the design and delivery needs of the business projects. Ability to provide BI functional help desk support including 1st & 2nd level support, on-call troubleshooting & problem resolution.

Onsite office attendance in either our Bridgeport, CT or Stamford, CT Office. 3 days in the office (Tuesday/Wednesday/Thursday); Monday and Friday remote. Why join us.

We don't just "talk the talk!" We're an award-winning company (recently named a Glassdoor Best Place to Work in 2026) that truly cares about our people - That's why we offer best-in-class benefits and perks that will support you and your family. In addition to our health and financial plans, we also offer: Paid Parental Leave United Compassion Fund Employee Discount Program Career Development & Promotional Opportunities Additional Vacation Buy Up Program (US Only) Early Wage Access through Payactiv (US Hourly Only) Paid Sick Leave An inclusive and welcoming culture Explore our comprehensive U.S. benefit offerings For Canadian benefits, click here United Rentals, Inc

is an Equal Opportunity Employer and makes employment decisions regardless of race, color, religion, sex, national origin, age, genetic information, citizenship status, veteran status, sexual orientation, gender identity, disability, or any other status protected by law. If you need a reasonable accommodation at any point of the application process, please email careers@ur.com for assistance. At United Rentals, we proudly hire active duty members, veterans, reservists, and their families

The values that define your service-leadership, discipline, integrity, and teamwork-are the same values that drive our success. With many veterans already part of our team, we're ready to help you transition into a rewarding career. United Rentals consists of a wide variety of roles with different duties and responsibilities.

The actual pay rate offered to candidates varies depending upon a wide range of factors including specific position, location, education, training, experience, skills, and ability. Apply

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