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Manager Senior Data Analyst Remote Jobs in Hartford, CT

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Sr Data Engineer

Windsor, CT · Remote

$65/hr

Remote: Remote * Type: Contract * Job #61678 * Salary: $60.00 - $65.00 Per Hour Senior Data ... Lead root cause analysis for data quality issues and mentor others on quality best practices.

Cardinal Health

Senior Data/AI Engineer

Hartford, CT · Remote

$106.90K - $145.30K/yr

... Analytics platform analyzes data from electronic medical records (EMR), practice management ... This role is remote and can be based anywhere within the United States. Candidates must be able to ...

DataAnnotation

Data Analyst (PhD)

Hartford, CT · Remote

$40/hr

Overview We are looking for a Data Analyst (PhD) to join our team to train AI models. You will ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

The Hartford

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

The Business Analyst will have a mentor for their first year to train them on the daily ... Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement.

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Manager Senior Data Analyst Remote information

See Hartford, CT salary details

$55.5K

$100.1K

$136.7K

How much do manager senior data analyst remote jobs pay per year?

As of May 28, 2026, the average yearly pay for manager senior data analyst remote in Hartford, CT is $100,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $109,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Senior Data Analyst in a remote setting, and why are they important?

To thrive as a Manager Senior Data Analyst Remote, you need advanced data analysis skills, expertise in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and experience with cloud-based data systems are typically required. Strong leadership, problem-solving, and communication skills are essential, especially for managing remote teams and collaborating across departments. These skills ensure effective data-driven decision-making, efficient team management, and clear communication of insights in a distributed environment.

How does a Manager Senior Data Analyst typically balance hands-on analytics work with team leadership responsibilities in a remote setting?

As a Manager Senior Data Analyst working remotely, you can expect to split your time between guiding your team and performing advanced analytics tasks yourself. You'll often lead project planning, mentor junior analysts, and coordinate with cross-functional teams, all while ensuring data-driven solutions are delivered on schedule. Effective communication and regular virtual check-ins are essential for fostering collaboration and keeping projects on track. Balancing strategic oversight with hands-on analysis is key to success, and many organizations support this through clear goal-setting and flexible work hours.

What does a Manager Senior Data Analyst do in a remote role?

A Manager Senior Data Analyst in a remote role leads data analysis projects and oversees a team of analysts to extract, interpret, and present insights from large datasets. They are responsible for setting analysis strategies, ensuring data quality, and communicating findings to stakeholders to inform business decisions. Working remotely, they utilize digital collaboration tools to manage their team and maintain clear communication. Their work often involves designing data models, developing KPIs, and supporting data-driven decision-making across the organization.

What is the difference between Manager Senior Data Analyst Remote vs Data Scientist?

AspectManager Senior Data Analyst RemoteData Scientist
Required CredentialsBachelor's or Master's in Data Analytics, Business, or related fields; experience in data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; often requires programming skills
Work EnvironmentRemote, collaborative with teams, focus on reporting and analysisRemote or on-site, research-focused, involves modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, tech companiesTech firms, research institutions, startups, and enterprises

The main difference is that Manager Senior Data Analysts focus on interpreting data, creating reports, and guiding teams, while Data Scientists develop models and algorithms to extract insights. Both roles often work remotely and require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

What are popular job titles related to Manager Senior Data Analyst Remote jobs in Hartford, CT? For Manager Senior Data Analyst Remote jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Manager Senior Data Analyst Remote jobs in Hartford, CT look for? The top searched job categories for Manager Senior Data Analyst Remote jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Manager Senior Data Analyst Remote jobs? Cities near Hartford, CT with the most Manager Senior Data Analyst Remote job openings:
Manager Senior Data Analyst Remote jobs near you
Infographic showing various Manager Senior Data Analyst Remote job openings in Hartford, CT as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $100,096 per year, or $48.1 per hour.

Sr Data Engineer

Fast Switch

Windsor, CT • Remote

$65/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

  • Location: Windsor, Connecticut
  • Remote: Remote
  • Type: Contract
  • Job #61678
  • Salary: $60.00 - $65.00 Per Hour
Senior Data Engineer
Target rate: $65 hr w2
Contract Length: 6 months
Location: Remote EST coast hours however local candidates strongly encouraged
***Candidates must work on our W2 without needing sponsorship at any time now or in the future
***We do not work with Corp to Corp in any manner including any form of referral bonus.
If after reading the description you would like to be submitted, please complete the questions below. Answer in implied first person and in a stand-alone sentence. These will go along with the resume to the client.
  • How many years of senior-level data engineering experience do you have designing, building, and scaling batch and real-time data pipelines, and in what environments?
  • What hands-on experience do you have using SQL and Python to develop, optimize, and debug scalable data pipelines, and what types of data volume or pipeline complexity have you supported?
  • What production experience do you have with Azure and Databricks, including Delta Live Tables and Unity Catalog, and what kinds of solutions did you build with them?
  • Which orchestration and integration tools have you used, such as SnapLogic, Azure Data Factory, and Jenkins, and what pipeline automation or scheduling work did you lead?
  • What experience do you have using Terraform for infrastructure as code and deployment pipeline management, and what specifically did you provision, maintain, or automate?
  • What experience do you have with data quality, observability, or monitoring tools such as Soda, and how did you define, enforce, or improve data quality standards or SLAs?

    • JOB DESCRIPTION
    Profile Summary:
    The Senior Data Engineer leads the design and implementation of robust data solutions across multiple domains, driving technical excellence and scalability. This role mentors others, shapes best practices, and influences data architecture. This person is expected to proactively identify opportunities to improve systems, drive reliability, and collaborate with product and business stakeholders to align data strategy with company goals.
    Profile Description:
    • Design, build, and scale robust, high-performing batch and real-time data pipelines.
    • Drive architectural decisions for transformation logic, storage formats, and schema design.
    • Lead complex data ingestion efforts and mentor peers on performance optimization and scalability.
    • Lead the design and optimization of complex data models and storage architecture, balancing performance, scalability, and usability.
    • Partner with stakeholders to translate business requirements into robust data structures.
    • Contribute significantly to delivery planning and execution, mentor junior engineers on agile approaches, and ensure timely completion of tasks by managing dependencies and escalating delivery challenges.
    • Design and standardize advanced data validation frameworks and testing strategies across platforms.
    • Lead root cause analysis for data quality issues and mentor others on quality best practices.
    • Partner with stakeholders to define SLAs and quality metrics.
    • Lead efforts to automate, monitor, and scale deployment of production-grade data pipelines.
    • Design resilient workflows with retry logic, failure handling, and resource optimization.
    • Proactively address performance and reliability issues and contribute to runbooks and on-call documentation.
    • Lead the creation and maintenance of detailed technical documentation for complex pipelines, data models, and system integrations.
    • Establish and enforce documentation and development standards across projects.
    • Mentor junior engineers on clear, consistent coding and documentation habits.
    • Act as a key technical partner to product, analytics, and data science teams.
    • Lead design discussions, communicate complex data trade-offs clearly, and proactively surface risks and blockers.
    • Support collaborative planning and mentor junior team members in effective communication and partnership.
    Knowledge & Experience:
    • 5-9 years of experience in data engineering, data modeling, and pipeline development.
    • Expert-level SQL and Python skills for developing and debugging scalable data pipelines.
    • Deep hands-on experience with Azure and Databricks, including Delta Live Tables and Unity Catalog.
    • Skilled with data integration and orchestration tools such as SnapLogic, Azure Data Factory, and Jenkins.
    • Strong experience using infrastructure-as-code tools such as Terraform to manage deployment pipelines.
    • Experience designing and optimizing API integrations in data pipelines.
    • Familiarity with data quality and observability tools such as Soda or similar platforms.
    • Proficiency with version control and CI/CD workflows using GitHub.
    • Advanced understanding of dimensional modeling and data warehousing concepts.
    • Comfortable leading efforts in agile environments with strong ownership and collaboration.

    Apply