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Amazon Data Analyst Jobs in Kentucky (NOW HIRING)

$140 - $170/hr

Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM ... Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data ...

New

$140 - $209/hr

Develop and validate analytics methodologies Key Skills * Active Directory | Amazon Web Services | Apache Spark | Artificial Intelligence | Azure Data * Data Analysis | Language Processing | Machine ...

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 ...

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Amazon Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

How much do amazon data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for amazon data analyst in Kentucky is $71,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 per year, depending on experience, location, and employer.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Kentucky?

The most popular types of Amazon Data Analyst jobs in Kentucky are:

What are popular job titles related to Amazon Data Analyst jobs in Kentucky?

For Amazon Data Analyst jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Amazon Data Analyst jobs?

Cities in Kentucky with the most Amazon Data Analyst job openings:

Infographic showing various Amazon Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $71,775 per year, or $34.5 per hour.

Data, Analytics & Reporting Analyst - Data Engineering Team

Threadneedle group

On-site

$140 - $170/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 3 days ago

New


Job description

About Our Company

Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.

We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.

Job Description

Join our Data Engineering team and help shape the data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection.

You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to translate complex business needs into high-quality data solutions, quantitative models and actionable reporting. This hands-on role offers meaningful ownership, cross-functional influence and the opportunity to strengthen data quality, automate critical workflows and introduce innovative analytical capabilities.

You will contribute directly to how our investment teams generate insights and make informed decisions while continuing to grow your technical and investment expertise.

Responsibilities
  • Partner closely with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs and translate them into effective data solutions, models and reporting.
  • Participate in research discussions and project planning, aligning data and analytical capabilities with investment oversight, research, portfolio construction and manager selection priorities.
  • Source, validate and maintain investment data across platforms and databases, ensuring quality, consistency, accessibility and reliable data feeds for investment teams and broader stakeholders.
  • Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor-based research.
  • Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics and strategy dashboards.
  • Design and maintain dashboards and data visualisations that give investment professionals ready access to decision-useful information.
  • Apply sound model governance practices, including clear documentation, version control and validation protocols.
  • Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling.
  • Collaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements, platform development and analytical needs, while coordinating effectively with colleagues across Boston, New York, London and India.
Required Qualifications
  • 3-7 years of experience in data analytics, quantitative development or reporting within investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk.
  • Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field.
  • Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms.
  • Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences and collaborate across functions and locations.
  • Proven ability to manage multiple priorities, deliver high-quality work to deadlines and demonstrate initiative, intellectual curiosity and a practical problem-solving mindset.
Preferred Qualifications
  • Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred.
  • Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred.
  • Experience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred.
  • Background in investment consulting, multi-manager investing or investment operations is preferred.
U.S. Work Authorization & Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary

The estimated base salary for this role is $140,000 - $170,000 per year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Investment Management

Line of Business

AMINV US Asset Management

Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.

Columbia Threadneedle is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

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