ZipRecruiter

Log In

1

Principal Data Analyst Jobs in Connecticut (NOW HIRING)

HomeServe

Principal Data Architect and Engineer

Norwalk, CT · On-site

$125K - $167K/yr

The Principal Data Architect/Engineer will lead the design, development, and evolution of HomeServe ... Strong analytical, verbal and written communication and interpersonal skills. * Willingness to ...

pitneybowes

AI & Data Architect

Shelton, CT · On-site

This role establishes a scalable, secure, and governed foundation for data and AI, enabling the organization to deliver measurable business outcomes through advanced analytics, machine learning, and ...

InforCapital, partnership

Principal

New Haven, CT · On-site

$125 - $150/hr

... analysis, and drafting term sheets and reviewing financing documents. The Principal will also ... Strong project management skills, the ability to synthesize complex data into compelling narratives ...

Zimmerman Associates, Inc.

$87K/yr

Provide budget, project finance, and data analysis support to government civilians, contractor leads, Principal Investigators, and technical leadership. * Support complex Navy and submarine-related ...

next page

Showing results 1-20

All JobsPrincipal Data Analyst JobsPrincipal Data Analyst Jobs in Connecticut

Principal Data Analyst information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do principal data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for principal data analyst in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a principal data analyst?

Principal Data Analysts are senior-level professionals who lead complex data analysis projects within an organization. They are responsible for interpreting large datasets, designing analytical models, and providing strategic insights to guide business decisions. In addition to technical expertise, they often mentor junior analysts, collaborate with stakeholders, and help set data strategy. Principal Data Analysts typically have extensive experience and a deep understanding of both data science and the industry in which they work.

What does a principal data analyst do?

A Principal Data Analyst often plays a key role in cross-functional projects by acting as the primary liaison between data teams and business stakeholders. They lead the design and execution of complex analyses, ensuring that project requirements are clearly understood and data-driven insights align with organizational goals. This role involves collaborating closely with product managers, engineers, and executives to translate business questions into actionable analytical solutions, while also mentoring junior analysts and establishing best practices. Their strategic input is critical to shaping data-driven decision-making across departments.

What are the key skills and qualifications needed to thrive as a principal data analyst?

To thrive as a Principal Data Analyst, you need advanced expertise in data analysis, statistical modeling, and data visualization, often backed by a degree in a quantitative field and several years of experience. Mastery of tools such as SQL, Python or R, business intelligence platforms, and data warehousing systems is typically required, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional problem-solving, leadership, and communication skills set top analysts apart, enabling them to translate complex data into actionable business insights. These competencies are essential for driving data-driven decision-making and leading analytical projects that align with organizational goals.

What is the difference between Principal Data Analyst vs Data Scientist?

AspectPrincipal Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skillsBachelor's or Master's in Data Science, Computer Science, or related; programming skills often emphasized
Work EnvironmentBusiness-focused, analyzing data to inform decisions, often within corporate teamsResearch and development environment, building models, exploring data, often in tech or research firms
Employer & Industry UsageCommon in finance, healthcare, retail, and corporate sectorsPrevalent in tech, e-commerce, and research organizations

The main difference between a Principal Data Analyst and a Data Scientist lies in their focus and skill set. Principal Data Analysts typically concentrate on interpreting data to support business decisions, while Data Scientists often develop predictive models and algorithms. Both roles require strong analytical skills and relevant education, but Data Scientists usually have more programming expertise and a focus on machine learning. Understanding these distinctions helps organizations hire the right talent for their data needs.

What are popular job titles related to Principal Data Analyst jobs in Connecticut?

For Principal Data Analyst jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Principal Data Analyst jobs in Connecticut look for?

The top searched job categories for Principal Data Analyst jobs in Connecticut are:

Principal Data Analyst jobs near you
Infographic showing various Principal Data Analyst job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Principal Data & Analytics Engineer

Curaleaf

Stamford, CT • On-site

Full-time

Posted 7 days ago

Curaleaf rating

6.6

Company rating: 6.6 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

17th of 33 rated cannabis dispensaries

Job description

Title: Principal Data & Analytics Engineer

Location: Stamford, CT (On-site) 

Job Type: Full-Time, Exempt 

About the Role:  

As the Principal Data & Analytics Engineer, you will serve as the senior technical leader for Curaleaf's modern data and analytics ecosystem. You will define and evolve the architecture, engineering standards and shared platform capabilities that enable trusted, scalable and reusable data products across the organization. This is a hands-on individual-contributor and leadership role. You will work across Data Engineering, Analytics Engineering, Business Intelligence, Data Science, Data Governance, and business-facing product teams. You will help connect Curaleaf's data lifecycle from source ingestion through transformation, semantic delivery, advanced analytics and business consumption. You will partner closely with the Director of Data & Analytics, Senior Data Engineer, Senior Analytics Engineer and business product owners. Success will come not only from the solutions you build, but also from the technical clarity, reusable capabilities and engineering leverage you create for the entire team. This Principal engineering role will lead through technical direction, architecture, mentoring and cross-team influence rather than direct people management. Impact will be measured across systems and teams, not solely through individual code output.

What You'll Do: 

  • Define and evolve the end-to-end architecture across source ingestion, Snowflake, dbt, Omni, Hex, and related data services
  • Translate business strategy and product needs into scalable technical roadmaps, architectural patterns, and platform capabilities
  • Establish clear technology boundaries and guide where ingestion, transformation, semantic, reporting, and advanced analytical logic should reside
  • Architect secure, scalable, reliable, and cost-effective Snowflake environments supporting data products, BI, self-service analytics, and data science
  • Partner with the Senior Data Engineer on workload management, access patterns, observability, performance, resource utilization, and production support
  • Lead technical strategies for environment management, data access, workload isolation, platform resilience, and ongoing optimization
  • Define standards for SQL, Python, dbt, ingestion pipelines, data modeling, testing, documentation, deployment, and version control
  • Advance Git-based workflows, automated testing, CI/CD, release management, and engineering quality across the data lifecycle
  • Partner with business product owners, data stewards, Analytics Engineers, Data Engineers, and Data Scientists to design trusted and reusable data products
  • Lead root-cause reviews for significant incidents and convert recurring issues into durable platform or engineering improvements
  • Partner with data owners and stewards to implement quality expectations, ownership, lineage, classification, access, and appropriate-use requirements
  • Communicate architecture, risk, tradeoffs, and investment needs clearly to technical teams, business stakeholders, and executive leadership

    
What You'll Bring:

  • 8+ years of experience in Data Engineering, Analytics Engineering, Data Architecture, Data Platforms, or a closely related discipline
  • Demonstrated experience operating as a senior technical lead, staff engineer, principal engineer, architect, or equivalent individual contributor with influence across teams
  • Strong hands-on expertise with Snowflake, including data architecture, performance, security, workload management, access patterns, and cost optimization
  • Advanced proficiency in SQL and strong experience with Python for data engineering, automation, platform tooling, or analytical workflows
  • Significant experience with dbt or a comparable SQL-first transformation framework, including project architecture, testing, documentation, deployment, and reusable modeling patterns
  • Experience designing modern analytical data models, including staging layers, conformed dimensions, facts, curated marts, semantic models, and reusable data products
  • Strong knowledge of ingestion, ELT, orchestration, data contracts, schema evolution, data quality, lineage, and production-support practices
  • Experience with Git, automated testing, code review, CI/CD, environment management, and software-engineering practices applied to data systems
  • Experience defining architecture and technical standards while remaining sufficiently hands-on to build prototypes, solve complex problems, and guide implementation
  • Strong written and verbal communication skills, including the ability to explain technical tradeoffs to business and executive audiences
  • Demonstrated ability to mentor engineers and drive technical alignment without relying on formal people-management authority
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience

Even Better If:

  • Experience with dltHub or another modern ingestion framework.
  • Experience with Omni, Looker, or another governed semantic and business-intelligence platform.

What Curaleaf employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Curaleaf logo

About Curaleaf

Sourced by ZipRecruiter

Curaleaf Holdings, Inc. ("Curaleaf") is a leading international provider of consumer products in cannabis, with a mission to improve lives by providing clarity around cannabis and confidence around consumption. As a high-growth cannabis company known for quality, expertise, and reliability, the company and its brands, including Curaleaf and Select provide industry-leading service, product selection, and accessibility across the medical and adult-use markets. Today, we operate in 19 states with 144 dispensaries, service nearly 2,200 wholesale partner accounts, we have 29 cultivation sites and over 5,500 team members in the United States. Curaleaf International is the leading vertically integrated cannabis company in Europe with a unique supply and distribution network throughout the European market, bringing together pioneering science and research with cutting-edge cultivation, extraction, and production. Our corporate social responsibility is Rooted in Good. We believe in taking corporate and social responsibility very seriously, from our educational outreach to national partnerships, state-wide initiatives and local causes. Giving back to the communities where we operate is important to us and helps to change old attitudes by showing the positive impact of cannabis in creating jobs, changing lives, and helping local communities.

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Wakefield, MA, US

Year founded

2010

View All Curaleaf Jobs

Apply