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Remote Data Analyst Side Jobs in Connecticut (NOW HIRING)

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

The Category Analyst supports U.S. category development initiatives through data analysis ... Data integrity across customer reporting #LI-remote BIC World is an Equal Opportunity Employer. We ...

Media Analyst

Shelton, CT ยท On-site +1

$65K/yr

Hybrid Remote Role** BMG360 is looking for a talented, critical thinker, with a passion for ... Bachelor's degree (Finance, Data Analytics, Mathematics, Statistics (or other quantitative focus ...

Sales Analyst

Fairfield, CT ยท On-site +1

$75K - $95K/yr

๐Ÿ” About the Role We're seeking a data-driven Sales Analyst with sharp business acumen and a ... Hybrid flexibility (office presence encouraged for collaboration, remote options available)

R2R SAP Business Analyst - Remote

Hartford, CT ยท On-site +1

$52.75 - $70.50/hr

US-CT-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Experience with finance processes including such as Finance Master Data, Allocations, FP&A, ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Showing results 21-40

Remote Data Analyst Side information

What are some common challenges faced by remote data analysts, and how can they be effectively addressed?

Remote data analysts often face challenges such as limited access to immediate team collaboration, potential data security concerns, and managing time across different time zones. To overcome these, it's important to leverage communication tools like Slack or Microsoft Teams for regular check-ins, use secure VPNs and follow company data protocols, and establish clear work schedules with your team. Proactively seeking feedback and maintaining organized documentation can also help ensure smooth workflow and effective collaboration.

What is the difference between Remote Data Analyst Side vs Remote Data Analyst?

AspectRemote Data Analyst SideRemote Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in Excel, SQL, Python/RBachelor's or higher in Data Science, Statistics, or related; similar technical skills
Work EnvironmentPart-time, freelance, or side projects; flexible hoursFull-time or part-time; employed by companies or clients
Employer & Industry UsageFreelance platforms, startups, consulting firmsCorporations, consulting agencies, research firms

The main difference is that a Remote Data Analyst Side typically works on freelance or part-time projects, offering flexibility, while a Remote Data Analyst is usually employed full-time or part-time by organizations. Both roles require similar skills and credentials, but their work settings and commitments differ.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are available as fully remote positions, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and visualization software from anywhere. Remote work often requires strong communication skills and self-discipline, and some employers may specify certain time zone requirements or remote work policies.

What is a remote data analyst side?

A remote data analyst side job involves working part-time or as a freelancer to analyze data for organizations, all while working from a location outside the traditional office. Responsibilities typically include collecting, cleaning, and interpreting data to help businesses make informed decisions. This role allows professionals to leverage their analytical skills in a flexible setting, often outside of their primary job or commitments. Remote data analyst side jobs are ideal for those seeking additional income or experience without the constraints of a full-time, in-office position. Common industries hiring for these roles include marketing, finance, healthcare, and technology.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in a quantitative field such as mathematics or computer science. Familiarity with data analysis tools and programming languages such as SQL, Python, R, and platforms like Tableau or Power BI is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills set top remote analysts apart. These skills are essential for extracting actionable insights from data and effectively collaborating with distributed teams to support business decisions.
What are the most commonly searched types of Data Analyst Side jobs in Connecticut? The most popular types of Data Analyst Side jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Analyst Side jobs? Cities in Connecticut with the most Remote Data Analyst Side job openings:

Sr. Underwriting Strategy Analyst - Remote Opportunity

GuideOne Insurance

Hartford, CT โ€ข Remote

Full-time

Posted 23 days ago


Job description

The Senior Underwriting Strategy Analyst supports the Director of Underwriting Strategy in driving portfolio performance, optimizing underwriting, and advancing strategic initiatives across the underwriting lifecycle. This role blends analytics, underwriting expertise, and cross-functional leadership to improve risk selection, profitability, and operational efficiency.

Accountabilities:

Underwriting Strategy & Portfolio Management

  • Support development and execution of underwriting strategies aligned to growth, profitability, and risk appetite goals
  • Analyze portfolio performance trends (loss ratio, hit rate, retention, pricing adequacy) and recommend actionable improvements
  • Monitor underwriting guidelines and identify opportunities for refinement based on emerging experience and market dynamics
  • Assist in segmentation strategies to optimize risk selection and pricing precision

Data Analysis & Insights

  • Conduct advanced data analysis to identify drivers of loss, profitability, and underwriting performance
  • Develop dashboards, scorecards, and reporting frameworks for leadership visibility
  • Partner with actuarial, data science, and finance teams to evaluate pricing models and assumptions
  • Translate complex data into clear, actionable recommendations for underwriting leadership

Underwriting Governance & Execution

  • Support governance frameworks including referral processes, authority structures, and underwriting controls
  • Perform audits and quality assurance reviews to ensure adherence to underwriting guidelines
  • Identify process gaps and recommend enhancements to improve consistency and decision quality

Cross-Functional Collaboration

  • Partner with Product, Actuarial, Claims, Distribution, and Operations to align strategy and execution
  • Contribute to product development, coverage enhancements, and market positioning initiatives
  • Support field underwriting teams with insights, tools, and strategic guidance

Process Improvement & Transformation

  • Identify and lead initiatives to streamline underwriting workflows and reduce friction
  • Support automation, digitization, and decision-support tool development
  • Drive continuous improvement in underwriting efficiency and scalability

Strategic Projects

  • Lead or support high-impact initiatives such as:
    • New program or segment launches
    • Profitability remediation strategies
    • Expansion into new markets or distribution channels
  • Prepare executive-level presentations and strategic recommendations