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Amazon Data Analytics Jobs in Connecticut (NOW HIRING)

The VP, Analytics will lead portfolio analytics for the Amazon Credit and Payment portfolio ... Lead end-to-end analytics delivery: problem definition, data sourcing/mining, analysis, insight ...

Safety Manager

Waterbury, CT · On-site

$52 - $57/hr

SAFETY MANAGER Mechanical Construction | Amazon Data Center Project Location: Waterbury, Connecticut Start Date: ASAP Project Duration: 3-4 Months Employment Type: 1099 Contractor JOIN A HIGH-PROFILE ...

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 ...

... analysis - Developing and maintaining data pipelines, integration, and transformation solutions to support client needs - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data ...

... analysis - Developing and maintaining data pipelines, integration, and transformation solutions to support client needs - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Data Architect

Hartford, CT · 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 ...

GCP Cloud Analytics Engineer

Stamford, CT

$59.50 - $79.50/hr

GCP Cloud Analytics Data-driven organizations need modern cloud analytics solutions that turn ... Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services * Google ...

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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 Jul 26, 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.

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 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 much does Amazon pay a Data Analyst?

Amazon Data Analysts typically earn an average salary ranging from $70,000 to $110,000 annually, depending on experience, location, and level of seniority. Entry-level roles may start lower, while experienced analysts with advanced skills in SQL, Python, or Tableau can earn higher salaries. Compensation packages often include benefits such as health insurance and performance bonuses.

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 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.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Analytics roles can offer pay rates around $20 to $30 per hour, depending on experience and location. These positions often involve remote work, require analytical skills, and may include benefits such as flexible schedules. Actual pay varies based on the specific role, level, and individual qualifications.

How to become a Data Analyst at Amazon?

To become a Data Analyst at Amazon, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science. Relevant skills include proficiency in SQL, Excel, and data visualization tools like Tableau or Power BI, along with experience in analyzing large datasets. Gaining certifications in data analytics or related areas can also improve chances of selection.

What does a Data Analyst do for Amazon?

A Data Analyst at Amazon collects, analyzes, and interprets large datasets to support business decision-making. They use tools like SQL, Excel, and data visualization software to identify trends, improve processes, and optimize customer experiences. Strong analytical skills and knowledge of data management are essential for this role.
What are popular job titles related to Amazon Data Analytics jobs in Connecticut? For Amazon Data Analytics jobs in Connecticut, the most frequently searched job titles are:
Infographic showing various Amazon Data Analytics job openings in Connecticut as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $84,020 per year, or $40.4 per hour.
VP, Amazon Analytics

Full-time

Posted 16 days ago


Synchrony Financial rating

9.0

Company rating: 9.0 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

2nd of 150 rated financial services


Job description

Role Summary/Purpose:

The VP, Analytics will lead portfolio analytics for the Amazon Credit and Payment portfolio, delivering insights, strategic initiatives, and decision-making framework that support nexGen growth strategy, improve portfolio performance, and enhance customer experience (including Amazon product ratings). This role partners closely with Amazon Client and internal stakeholders across Marketing, Credit, Finance, Product, and Operations to develop portfolio segmentation, forecasting, lifecycle measurement, and test-and-learn analytics.

Essential Responsibilities:

  • Lead end-to-end analytics delivery: problem definition, data sourcing/mining, analysis, insight synthesis, and executive-ready recommendations.

  • Partner with Marketing, Finance, and Client teams to design and evaluate lifecycle and targeted campaigns, including segmentation strategy, test design, channel/touchpoint recommendations, and cost/benefit analysis.

  • Drive ongoing portfolio performance reviews (KPI trends and diagnostics, portfolio segmentation, product KPIs) to inform business strategy and marketing prioritization.

  • Build and evolve dashboards and reporting to monitor performance, diagnose drivers, and support timely decision-making.

  • Deliver campaign measurement and optimization analytics; reinforce a "test and learn" culture through continuous testing.

  • Collaborate cross-functionally (Product, Marketing, Finance, Credit, Operations) to improve customer experience while achieving growth and profitability goals.

  • Provide leadership and coaching to analysts; prioritize work across onshore and offshore teams to ensure high-quality, on-time delivery.

  • Act as an analytics and strategy advisor for large initiatives, leading measurement approach, analysis, and performance readouts.

  • Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

  • Bachelor's degreeorin lieu of a Bachelor's Degree, a High School Diploma / GED and 9+ years of relevant experience in marketing/portfolio analytics within financial services, credit cards, payments, or retail finance.

  • 7+ years of experience, including:

    • 3+ years analytics experience within platform, commercial, portfolio. business growth focus or marketing analytics

    • 3+ years using statistical analysis and data warehouse tools - SAS, SQL, Python and/or R

    • 3+ years leading large-scale analytics projects

    • 1+ year in a client-facing role including influencing business decisions (internal and/or client experience)

  • Ability and flexibility to travel for business as required

Desired Characteristics

  • Degree in a quantitative field (e.g., Statistics, Engineering, Economics, Mathematics) preferred; advanced degree a plus.

  • 3+ years in platform, commercial, portfolio or marketing analytics ideally in financial services, credit card payments, or retail finance

  • Credit card product and lifecycle marketing analytics experience preferred.

  • Experience in consumer financial services, credit card payments, retail, fintech or consulting with a consumer data analytics focus.

  • Ability to problem solve and make progress with minimal supervision and with ambiguity in business requirements

  • Strong hands-on skills inSQLandSAS; visualization/dashboard experience inTableauorBirst.

  • Expertise in segmentation and targeting; advanced proficiency inExcelandPowerPoint.

  • Experience leveraging external/third-party data to drive growth.

  • Strong executive communication skills and ability to influence senior stakeholders.

  • Demonstrated ability to operate in a fast-paced, matrixed environment with a mix of strategic and hands-on work.

Grade/Level: 12

The salary range for this position is 135,000.00 - 230,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

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Data Analytics

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