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Remote Data Analyst R Programming Jobs in Connecticut

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Proficient in Python or R and SQL, with experience across structured and unstructured data formats.

Sr Epicor Systems Analyst

Chester, CT ยท Remote

$60 - $70/hr

... data integrity, security, and alignment with business needs. The candidate will collaborate with ... remote position. Application Deadline This position is anticipated to close on Jul 21, 2026. About ...

Data & AI Delivery Lead

Hartford, CT ยท On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Experience in data and analytics delivery and cloud migration (AWS/Snowflake). Preferred

Required Qualifications * 5+ years of experience in data science, advanced analytics, or a related field. * Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ...

Sema4 believes that patients should be treated as partners, and that data should be shared for the ... analysis * Strong coding proficiency in R, Python, and SQL programming languages in a Linux ...

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 ...

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Remote Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Connecticut? The most popular types of Data Analyst R Programming jobs in Connecticut are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Connecticut? For Remote Data Analyst R Programming jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Connecticut look for? The top searched job categories for Remote Data Analyst R Programming jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Analyst R Programming jobs? Cities in Connecticut with the most Remote Data Analyst R Programming job openings:
Commercial Analytics Senior Manager

Commercial Analytics Senior Manager

ggi

Brookfield, CT โ€ข Remote

Other

Medical, Dental, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Title: Commercial Analytics Senior Manager

Department: Marketing

Reporting to: Director of Marketing Operations & Analytics

Location: Remote

About the Role:

Greenfield is looking for a Commercial Analytics Senior Manager to join our growing team. This role owns the measurement, reporting, and analytical infrastructure across marketing and sales. You will build the reporting suite, define KPIs and targets, and deliver the analytical models that connect marketing and sales activity to revenue outcomes. This is a hands-on, technical role that is equally comfortable building a semantic model in Fabric as presenting attribution results to senior leadership.


This is a marketing-start up within a 35-year-old company rich with history, culture and deep values. This role requires an individual who is comfortable in an adapting, growing environment in the middle of exciting digital transformation.

Who We Are:ย 

Since 1989, Greenfield Global has been the leading producer and supplier of high-purity alcohols, specialty solvents, custom blended solutions, and fuel ethanol to businesses worldwide.

Greenfieldโ€™s primary markets are life science (including pharma/biopharma and medical devices), food, flavor, fragrance, personal care, beverage alcohols, industrials, and renewable fuels. Annually, the company fulfills over 35,000 orders in more than 50 countries through its extensive global supply chain.

Greenfieldโ€™s low-carbon ethanol helps industries reduce their carbon emissions and meet environmental objectives. Our team of researchers and engineers continue to lead innovation in sustainable energy and chemicals, including green hydrogen, green methanol, sustainable aviation fuel, and renewable natural gas.ย 

Job Responsibilities:ย 

Reporting & Measurement
  • Own the commercial analytics function: design, build, and roll out reporting suites and dashboards in Power BI for stakeholders across marketing, sales, operations, and finance.
  • Define and govern targets, goals, and KPIs across marketing and sales, proactively identifying new measurement opportunities that connect directly to revenue outcomes.
  • Present results and recommendations to senior leadership with clear, compelling data storytelling.
Analytics & Modeling
  • Develop and operationalize analytical models including attribution, segmentation, CLTV, churn/retention, lead scoring, predictive analytics, and causal inference.
  • Design and execute A/B testing and experimentation programs with appropriate statistical methodology.
Data Infrastructure & Governance
  • Build and maintain semantic models and data pipelines in Microsoft Fabric and/or Databricks, connecting CRM, marketing automation, ecommerce, and third-party data sources.
  • Manage data quality, hygiene, and governance across CRM and marketing automation platforms throughout the sales funnel.
Cross-Functional Partnership & Communication
  • Partner with stakeholders across marketing, sales, operations, and finance to translate business questions into analytical workstreams and ensure outputs are actionable.
  • Align measurement frameworks and KPI definitions with marketing and sales leads to ensure shared accountability for targets.
  • Train and enable non-technical stakeholders to self-serve on dashboards and interpret reporting outputs.

Your Experience Should Include:ย 

  • Technical & Analytical
    • 7+ years in commercial analytics, marketing analytics, revenue operations, or a related quantitative discipline.
    • Proficient in Python or R and SQL, with experience across structured and unstructured data formats.
    • Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and analytics workloads.
    • Skilled in building semantic models, data models, and ETL/ELT pipelines at scale.
    • Proficient in Power BI and PowerQuery for dashboard development and reporting.
    • Familiar with DevOps practices including version control, CI/CD, and environment management.
    • Demonstrated use of AI tools to enhance analytical productivity.
    • Proven experience operationalizing models including marketing attribution, customer segmentation, churn/retention, CLTV, and lead scoring.
    • Experience designing and executing A/B tests and experimentation programs with statistical rigor.
    • Exposure to marketing mix modeling, predictive analytics, causal inference, or demand/pipeline forecasting is a plus.
    Business
    • Experience designing, building, and rolling out reporting suites and KPI frameworks across marketing, sales, operations, and finance in a B2B environment.
    • Direct exposure to marketing and sales platforms (CRM, marketing automation) and their underlying data structures (Dataverse, Salesforce Objects)
    • Track record presenting analytical results to senior leadership with a focus on business impact.
    • Experience in industrial, chemical, life sciences, energy, or related sectors is strongly preferred โ€” comfort with technically complex subject matter is essential.
Who You Are
  • A disciplined individual: demonstrates strong soft skills in communication, problem-solving, accountability, adaptability, and professionalism.
  • A data storyteller: translates complex analytical outputs into clear, actionable narratives for senior leadership and cross-functional stakeholders.
  • Proactive by default: identifies opportunities for analysis and new KPIs before being asked, connecting analytical work directly to revenue impact.
  • Intellectually curious: ย understands business context before building models, enjoys cross-functional partnership, and gains consensus on measurement approaches impacting the business.
  • A natural educator who leads with empathy and active listening, bringing clarity to complex analytics across technical and non-technical audiences.

Total Compensation & Care:ย 

  • Base salary dependent on experience and demonstrated performanceย 
  • Formal and informal training opportunitiesย 
  • Comprehensive health and dental benefitsย 
  • Income protection: short- and long-term disability coverage, life insurance, paid personal sick timeย 
  • Vacation time exceeding industry standardsย 
  • Company funded retirement savings program with individual contribution opportunitiesย 
  • Meaningful and challenging workย 
  • Curated intentional culture focused on growth and development, engagement, and communicationย 

ย 

Why Join Greenfield?

  • We innovate, collaborate, and work with purpose. Our mission is to unlock the potential of people, partnerships, and nature to accelerate sustainable solutions for the health of the planet, and our work has a positive impact on the environment around the world.ย 
  • Are you passionate about creating exceptional customer experiences, thriving in a culture of innovation, and driving sustainable solutions? At Greenfield, youโ€™ll join a high-performance team dedicated to making a positive impact on the planet while advancing your career.
  • With offices in the U.S., Canada, and Ireland, Greenfield Global is family-owned and operated and has been awarded โ€œCanadaโ€™s Best Managed Companiesโ€ Platinum-level designation since 2015.

Core Principlesย 

  • Innovation: We are constantly seizing opportunities to develop new products, processes and methods to meet the diverse and demanding requirements of our customers.ย 
  • Collaboration: We are part catalyst, part collaborator. We work with partners to get the most out of our existing products, and to develop custom solutions for our customer requirements.ย 
  • Responsibility: Our commitment to give back to local communities in the US and Canada goes beyond the bottom line. We give back to the planet by processing renewable resources into low carbon fuels and chemicals.ย 
  • Agility: Our team is not only fast, we have the flexibility and creativity to pivot with customer needs to develop custom-made, on-time solutions.ย 
  • Discipline: At every plant, and for every customer, for every shipment, we put quality first. We operate a tight, transparent supply chain while meeting the highest regulatory standards.ย 

Greenfield Global USA, Inc. is an equal opportunity employer that is committed to providing a workplace free from harassment and discrimination. All qualified applicants for employment will be considered without regard to race, color, religion, sex, sexual orientation, marital or domestic partner status, gender identity or expression, pregnancy, age, national origin, ancestry, disability status, genetic information, veteran status, or any other legally protected characteristic.