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Associate Analytics Manager Jobs (NOW HIRING)

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Associate Manager, AIDM Analytics

Irvine, CA · On-site

As the Associate Manager, AIDM Analytics on Taco Bell's Digital Customer Intelligence team, you will champion data-driven strategies to elevate our digital customer experience. You will support and ...

S&S Activewear LLC

Commercial Analyst

Bolingbrook, IL · On-site

$75K - $100K/yr

ABOUT THE ROLE The Commercial Associate Analytics Manager/Data Specialist will play a key role in developing and delivering data-driven insights that inform tactical & strategic decisions, drive ...

Penske

Manager - Advanced Analytics

Reading, PA

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data ... Ensure associates lead project scope development and options analysis to recommend technical ...

Penske

Manager - Advanced Analytics

Reading, PA · On-site

... Manage a team of machine learning engineers. • Work with analytics leaders, data analysts, and ... The associate is frequently required to use hands to finger, handle, or feel and reach with hands ...

Penske

Manager - Advanced Analytics

Reading, PA · On-site

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data ... Ensure associates lead project scope development and options analysis to recommend technical ...

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How much do associate analytics manager jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for associate analytics manager in the United States is $25.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $29.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Analytics Manager, and why are they important?

To thrive as an Associate Analytics Manager, you need a strong background in data analysis, statistical modeling, and business acumen, often supported by a relevant degree in analytics, statistics, or a related field. Expertise with data visualization tools (like Tableau or Power BI), SQL, and familiarity with analytics platforms such as Google Analytics or Python/R is highly valuable. Strong communication, problem-solving, and stakeholder management skills help you convey insights effectively and drive data-informed decisions. These skills are crucial for transforming complex data into actionable strategies that support business growth and efficiency.

How does an Associate Analytics Manager typically collaborate with cross-functional teams to drive data-driven decision making?

As an Associate Analytics Manager, you'll work closely with teams such as marketing, product, finance, and engineering to identify business challenges and translate them into analytical projects. You’ll regularly participate in meetings to understand stakeholder needs, present key findings, and ensure that insights are actionable and aligned with business objectives. Effective communication and the ability to explain complex data findings in relatable terms are essential, as is adapting your approach based on the audience. This collaborative environment not only enhances your analytical impact but also helps you build strong professional relationships and knowledge across departments.

What is the difference between Associate Analytics Manager vs Data Analyst?

AspectAssociate Analytics ManagerData Analyst
Required CredentialsBachelor's degree in Analytics, Business, or related field; some roles prefer certifications like Google Data Analytics or SQL certificationsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentTypically part of a team managing analytics projects, collaborating with managers and stakeholdersFocuses on data collection, cleaning, and analysis, often working independently or in small teams
Employer & Industry UsageUsed across industries like finance, marketing, and tech; common in mid-level analytics rolesWidely used in various industries for data reporting and insights generation

The Associate Analytics Manager and Data Analyst roles share similar educational backgrounds and work environments, but the Associate Analytics Manager often has more responsibilities in managing projects and teams. Data Analysts primarily focus on data processing and reporting, while Associate Analytics Managers oversee analytics strategies and stakeholder communication.

What does an Associate Analytics Manager do?

An Associate Analytics Manager is responsible for supporting the analysis of data to help drive business decisions. They work with large datasets, generate reports, and provide insights to improve company performance. Their role often involves collaborating with different departments, managing analytics projects, and ensuring data integrity. They may also mentor junior analysts and contribute to the development of analytical tools and processes.
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Associate Analytics Manager jobs near you
Infographic showing various Associate Analytics Manager job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $52,863 per year, or $25.4 per hour.
Model Risk - Quantitative Analytics Manager

Model Risk - Quantitative Analytics Manager

KeyBank

Cleveland, OH • On-site

Full-time

Posted 27 days ago

KeyBank rating

8.4

Company rating: 8.4 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

35th of 150 rated banks

Job description

Location:
127 Public Square, Cleveland Ohio
ABOUT THE JOB (JOB BRIEF)
The Quantitative Analytics Manager is primarily responsible for leading the validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners' problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the "bigger picture" and driving efficiency in solution delivery
ESSENTIAL JOB FUNCTIONS
  • Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions "What will happen and what should we do about it?"
  • Often responsible for large, complex problems that have broad implications and are less frequent
  • Recommend solutions based on understanding of the context, connections, and conclusions
  • Reviews deliverables; proactively coaches others on approach and work product
  • Lead and evangelize on best practices of capturing and retaining data
  • Coordinate with data stewards and anticipate needs process/procedures
  • Make continuous improvements to data procedures, including data efficiency
  • Recommend best analysis method for the situation

REQUIRED QUALIFICATIONS
  • Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience

DATA LITERACY
  • Understanding of:
    • Best practices for capturing / retaining data
    • Pros / Cons of competing analysis methods
  • Experience leading by:
    • Partnering with others to anticipate and understand needs process/procedures
    • Leading information practices / policies / procedures
    • Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
    • Promoting increased efficiency of data analysis by advocating clearer data requirements

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
  • Ability to:
    • Establish standards and best practices; forecast future modeling tools / techniques
    • Identify, employ, and evangelize emerging techniques from industry / research
    • Coach others on data modeling methods / techniques
    • Facilitate sessions for complex data models
    • Assess and understand risks; contingency plans
    • Communicate observations to senior executives
    • Translate technical observations to a non-technical audience

EXPECTED COMPETENCIES
  • Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
  • Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
  • Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
  • Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the "bigger picture"; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
  • Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right tie through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 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: 07/19/2026KeyCorp 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

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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

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