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Data Analytics Associate Jobs (NOW HIRING)

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Data controls * Hypothesis testing / root-cause analysis * Leverage and anticipate considerations ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Data controls * Hypothesis testing / root-cause analysis * Leverage and anticipate considerations ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Data controls * Hypothesis testing / root-cause analysis * Leverage and anticipate considerations ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Data controls * Hypothesis testing / root-cause analysis * Leverage and anticipate considerations ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Data controls * Hypothesis testing / root-cause analysis * Leverage and anticipate considerations ...

Who We Are EDO is a data, measurement and analytics company that powers the success of marketing ... The Role The Media Analytics Associate is a key member of the Media Analytics team, working side-by ...

Media Analytics Associate

New York, NY · On-site

$66K - $68K/yr

Who We Are EDO is a data, measurement and analytics company that powers the success of marketing ... The Role The Media Analytics Associate is a key member of the Media Analytics team, working side-by ...

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Data Analytics Associate information

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How much do data analytics associate jobs pay per month?

As of Aug 12, 2026, the average monthly pay for data analytics associate in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.
More about Data Analytics Associate jobs
What cities are hiring for Data Analytics Associate jobs? Cities with the most Data Analytics Associate job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics Associate jobs? States with the most job openings for Data Analytics Associate jobs include:
Infographic showing various Data Analytics Associate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Lead Quantitative Analytics Associate

KeyBank

Buffalo, NY • On-site

$71K - $125K/yr

Full-time

Posted 8 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Location:
726 Exchange Street, Buffalo New York
ABOUT THE JOB (JOB BRIEF)
Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
ESSENTIAL JOB FUNCTIONS
  • Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
  • Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis
  • Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
  • Use critical thinking to use the right approach for each problem statement
  • Anticipate business need and make continuous improvements to models and processes

REQUIRED QUALIFICATIONS
  • Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
  • A minimum of 2 years of relevant experience or a minimum of 1 year experience with a Master's or PhD

DATA LITERACY
  • Understanding of and ability to:
    • Create data structures / transformations
    • Identify and capture different types of information for business needs or necessary for analysis
    • Data controls
    • Hypothesis testing / root-cause analysis
    • Leverage and anticipate considerations in implementation

TECHNOLOGY & TECHNIQUES
  • Advanced Microsoft Office Suite
  • SQL/NoSQL
    • Relationship data structure
    • Selecting and retrieving data including unstructured data retrieval, archival, and ETL
    • Databases
  • Advanced Python/R/SAS:
    • Databases
    • Efficient coding
    • Can build strong code controls and translate code into high-level commentary
  • Understanding of and ability to leverage:
    • Cloud-based computing
    • Distributed computing

MODEL BUILDING & MAINTENANCE
  • Understanding of:
    • Model use, requirements, and implementation needs
    • Model Risk Management process and foundations
    • Testing for deterioration and model health
    • Scale and fundamental concepts of Machine Learning
    • How statistical measurements are used
    • Advanced data techniques for modeling frameworks
  • Ability to:
    • Produce and identify information through statistical analysis
    • Effectively explain model insights to peers and analytics community
    • Identify preferred approach given the problem statement

EXPECTED COMPETENCIES
  • Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems - improving something that already exists
  • Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or "working group" level; Building influencing skills; demonstrated in area of expertise or assigned LOB
  • Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
  • Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the "why" question; Starting to understand impacts / intersections with others
  • Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 09/17/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849