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Amazon Data Analytics Jobs in Connecticut (NOW HIRING)

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

... data analytics to identify emerging trends, predict future challenges, and implement proactive ... About the team Amazon Logistics' (AMZL) goal is to provide customers with an incredible package ...

Data Architect

Hartford, CT ยท On-site

$64.25 - $82.75/hr

Develop real-time and batch data ingestion and stream-analytic solutions leveraging technologies ... Talend,PySpark,Amazon Redshift,ETL,ELT,Kafka,Apache Spark,Java,NoSQL,AWS EMR.,data pipeline,Apache ...

... Amazon Redshift data products. The position will drive DataOps automation, governance implementation, and fully ephemeral feature-branch environments to accelerate the delivery of analytics ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... to analyze accident data, new processes, and machinery for potential safety concerns and conduct ...

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Showing results 1-20

Amazon Data Analytics information

See Connecticut salary details

$21.6K

$84K

$176.1K

How much do amazon data analytics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for amazon data analytics in Connecticut is $84,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,656.00 and $116,919.00 per year, depending on experience, location, and employer.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What are the key skills and qualifications needed to thrive as an Amazon Data Analytics professional, and why are they important?

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.

What is the difference between Amazon Data Analytics vs Data Analyst?

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

What is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, and data visualization tools can earn higher salaries.
Infographic showing various Amazon Data Analytics job openings in Connecticut as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $84,020 per year, or $40.4 per hour.

Consumer Insights & Analytics Manager

BlueRoot Health

Middletown, CT โ€ข On-site

Full-time

Posted 5 days ago


Job description

Description:

PURPOSE STATEMENT: 


Blueroot Health is seeking a Consumer Insights & Analytics Manager to lead the data, analytics, and insights work that informs innovation, brand strategy, and commercial decisions across all Blueroot Health brands, including Vital Nutrients, Fairhaven Health and Bariatric Fusion. Reporting directly to the CMO, this role integrates consumer, practitioner, brand, category, and performance evidence to inform where BRH invests, launches, and grows.


You will build the data, analytics, and insights capability that brings consumer, practitioner, category, and performance evidence into decision-making — partnering with Brand, Innovation, Sales, and E-commerce to ensure strategic decisions are grounded in robust evidence. This is a hands-on role for someone who is hungry for data and able to build and execute the right programs to collect qualitative and quantitative signals, translate them into clear business recommendations, and land them with all stakeholders.


WHAT YOU’LL DO (MAJOR RESPONSIBILITIES): 

  • Build a right-sized data, analytics, and insights program for BRH — combining syndicated data and industry reports (where they earn their cost), platform and retail data (Circana, Stackline, Amazon back end, retailer.com data, DTC platform data), and primary consumer research (panels, brand tracking, concept and claims testing) — and manage the external vendors, panels, and providers needed to deliver findings that drive action, not decks.
  • Own customer cohort, LTV, CAC, and retention analyses across brands — partnering closely with the E-commerce Analyst on operational data and with the Director of Financial Planning & Analysis on commercial reconciliation to the P&L — synthesizing a strategic performance view for the CMO and executive leadership.
  • Maintain a running view of category, consumer, practitioner, and competitive trends across supplements and adjacent wellness — including emerging and unmet needs, competitive dynamics, format and ingredient innovation, and channel shifts — and partner with Brand and Innovation to translate these signals into strategic implications and opportunities.
  • Own the research and insights program supporting innovation and brand strategy end-to-end — consumer AND HCP concept validation for the pipeline, ongoing brand health tracking across all Blueroot Health brands, and post-launch performance monitoring — closing the loop on whether new and existing initiatives deliver as intended.
  • Generate and apply HCP insights to understand practitioner needs and recommendation drivers, competitive and distributor dynamics, and emerging trends shaping the professional supplement channel.
  • Partner closely with the Brand Managers and CMO to support forward-looking brand strategies with the appropriate consumer and category evidence, embed insights into brand planning cycles, and actively monitor the performance of new and existing initiatives.
  • Perform other duties as assigned.


WHAT YOU’LL NEED (KNOWLEDGE/SKILLS/EXPERIENCE):


  • Progressive professional experience across brand management, consumer insights, market research, ecommerce analytics, category management, or closely related disciplines — with a clear trajectory of increasing scope, complexity, and strategic contribution.
  • Experience in consumer products, CPG, DTC, health & wellness, beauty, food & beverage, or an adjacent consumer category.
  • Demonstrated experience working with consumer insights and category data — syndicated (Circana, SPINS, Nielsen, or similar), retail and platform data (Amazon back end, Stackline, retailer.com), and primary research inputs — with a track record of synthesizing multiple sources into clear business recommendations. Direct experience designing primary consumer research (concept testing, brand tracking, segmentation, U&A) is a plus; candidates with strong data-synthesis backgrounds who can grow into research program design are encouraged to apply.
  • Strong writing, executive communication, and storytelling skills — able to translate research findings into clear, prioritized business recommendations that land with all stakeholders.
  • Fluency in Excel and PowerPoint / Keynote; hands-on proficiency with at least one BI tool (Power BI, Looker Studio, Tableau, or similar); comfort working with syndicated data platforms, retail / ecommerce platform data, and DTC platform data (Shopify, GA4, Klaviyo) — candidates without direct DTC exposure but with strong retail-CPG analytics will be considered.
  • Self-directed work ethic and ability to operate independently on open-ended strategic questions.
  • Intellectual honesty about the limits of research — knows what a study can and can’t say, and communicates uncertainty responsibly.


PREFERRED EXPERIENCE:

  • Industry experience in supplements, vitamins & minerals (VMS), functional foods, or an adjacent regulated wellness category.
  • Familiarity with the healthcare practitioner (HCP) channel unique to professional-grade supplements — distributor dynamics (Fullscript, Emerson Ecologics), practitioner segments (integrative and functional medicine, naturopathy, nutrition and dietetics, bariatric clinical settings), and competitive practitioner-brand landscape.
  • Experience supporting an innovation pipeline through stage-gate decision-making.
  • Experience working under regulated claims environments (DSHEA, FDA, FTC) and translating consumer research into claim-safe language.


PHYSICAL REQUIREMENTS:

  • Occasional travel for business needs, including meetings, trainings, and company events.
  • Extended periods of sitting and focused computer-based work.
  • Repetitive tasks, including typing and prolonged screen time.
  • Maintaining composure, focus, and effectiveness in a fast-paced and demanding environment.


Blueroot Health™ is an Equal Opportunity Employer. Employment opportunities at Blueroot Health™ are based upon one’s qualifications and capabilities to perform the essential functions of a particular job. All employment opportunities are provided without regard to race, religion, sex, national origin, age veteran status, disability, genetic information, or any other characteristic protected by law.


This Equal Employment Opportunity policy governs all aspects of employment, including, but not limited to, recruitment, hiring, selection, job assignment, promotions, transfers, compensation, discipline, termination, layoff, access to benefits and training, and all other conditions and privileges of employment. 

Requirements: