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Remote Data Analysis Jobs in Connecticut (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Stamford, CT · Remote

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 ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

micro1 AI

Cheminformatics Specialist - Remote

Hartford, CT · On-site +1

$90 - $120/hr

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 ...

micro1 AI

Cheminformatics Specialist - Remote

Stamford, CT · On-site +1

$90 - $120/hr

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 ...

Aequor

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Strong business analysis skills, including requirements gathering, process mapping, documentation ...

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Showing results 21-40

All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Connecticut

Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Connecticut? The most popular types of Data Analysis jobs in Connecticut are:
What are popular job titles related to Remote Data Analysis jobs in Connecticut? For Remote Data Analysis jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Connecticut look for? The top searched job categories for Remote Data Analysis jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Analysis jobs? Cities in Connecticut with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, 3% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Growth Hacker - Remote

EnthuZiastic

Stamford, CT • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

User Acquisition:

  • Develop and execute strategies to acquire new users, customers, or leads through various channels, such as SEO, social media, content marketing, email marketing, and paid advertising.

Conversion Rate Optimization:

  • Identify areas of the user journey with conversion bottlenecks and devise experiments to optimize conversion rates, including A/B testing and landing page optimization.

Product Development:

  • Collaborate with product teams to improve user experience, optimize product features, and iterate based on user feedback to drive growth.

Customer Retention:

  • Develop strategies to increase customer retention and reduce churn through engagement, loyalty programs, and targeted communication.

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 Marketing:

  • Create and implement strategies to encourage users to refer others to the product or service through viral marketing techniques.

Content Marketing:

  • Develop and distribute high-quality content that educates, informs, and engages the target audience, driving traffic and brand awareness.

Experimentation:

  • Plan and execute rapid, iterative experiments to test growth hypotheses and identify effective strategies.

  • Continuously refine and scale strategies based on experiment results.

Marketing Automation:

  • Implement marketing automation tools and workflows to streamline and personalize user communication and engagement.

Budget Management:

  • Manage and allocate budgets effectively across various growth channels, ensuring a positive return on investment.

Reporting and Analysis:

  • Provide regular reports on growth performance, including key metrics and insights to relevant stakeholders.
Requirements

Digital Marketing Expertise:

  • Proven experience in digital marketing, with a deep understanding of various marketing channels and tools.

Analytical Skills:

  • Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms.

Technical Proficiency:

  • Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools.

Creativity:

  • Ability to think creatively and develop unique strategies to achieve growth.

Communication Skills:

  • Effective communication skills for collaborating with cross-functional teams and presenting findings and strategies to stakeholders.

Entrepreneurial Mindset:

  • A proactive and entrepreneurial spirit with a willingness to take calculated risks and adapt to changes.

Adaptability:

  • Ability to stay updated with the latest trends in marketing and technology and adapt strategies accordingly.

Project Management:

  • Strong project management skills to handle multiple growth initiatives simultaneously.

Experience with Startups:

  • Experience working in a startup environment or high-growth company is often preferred.

Continuous Learning:

  • A commitment to ongoing learning and professional development in growth hacking.
Benefits

  • Opportunity to be a part of a dynamic growth focused tech startup.

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes.

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

  • Fun-loving environment and caring team mates and inclusive culture of the company.

Apply