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Data Analytics Associate Jobs (NOW HIRING)

As a Quantitative Analytics Associate in the Analytics and Business Strategy Execution team, you ... You will leverage data governance, predictive analytics, strategy development, data science and ...

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Data Analytics Associate information

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How much do data analytics associate jobs pay per month?

As of Jul 13, 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 is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

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.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

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, and why are they important?

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.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
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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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.
Quant Analytics Associate

Quant Analytics Associate

J.P. Morgan

Wilmington, DE

Full-time

Medical, Retirement

Posted 12 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

The Consumer and Community Banking division at Chase provides a wide range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. Within this division, the Analytics and Business Strategy Execution team leverages data to create competitive advantages and generate critical analytical insights to support strategic initiatives for Collections and Recovery Operations.

As a Quantitative Analytics Associate in the Analytics and Business Strategy Execution team, you will play a key role supporting data-driven decisions with direct impact to the financial bottom line collaborating with partners and stakeholders to drive operational excellence. You will leverage data governance, predictive analytics, strategy development, data science and machine learning disciplines to understand and predict customer and industry behavior, set quantifiable goals, identify opportunities and implement strategies through experimentation to enhance collections and recovery performance and effectively manage operational expenses for the organization.

Job Responsibilities

  • Demonstrate robust data programming and analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy.
  • Monitor internal and external trends (customer/industry) and understand business drivers, underlying data and core operational processes to support strategic direction with independent and thoughtful insights.
  • Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
  • Address issues with forward-looking solutions and collaborate across functions (Ops, Risk, Finance, Legal, Compliance, and Technology) to support design, testing and implementation of strategies to optimize return on investment and mitigate risks, amidst continuous change in an agile and demanding work environment.
  • Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.
  • Become a subject matter expert and trusted partner to influence business direction and support operational success.

Required Qualifications, Capabilities, and Skills

  • Beginner knowledge in statistics, finance, analytics, predictive modeling and machine learning techniques.
  • Bachelor's degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance or equivalent quantitative field, with 1+ years of applied analytical experience in complex and large data environments.
  • Proven experience with programming languages (SQL, SAS, R, Python, Alteryx), relational databases (Oracle/Teradata), and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights.
  • Utilize logical reasoning and data analysis to solve problems and simplify complex techniques into actionable information using a variety of visual elements to inform and facilitate decision-making.
  • Focus on results, continuous learning and process improvements to accelerate business objectives.
  • Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
  • Develop knowledge of products and services and understand roles within the business to support maximizing results.
  • Proactively manage performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free.
  • Build and maintain positive relationships with clients and stakeholders, addressing their needs and interests effectively.
  • Effective and clear communicator of risk-related issues, strategies and results with a variety of business partners.
  • Willingly learn from experience, view challenges as opportunities, motivated by business and technical challenges and demonstrate openness to feedback for continuous improvement.

Preferred Qualifications, Capabilities, and Skills

  • Master's degree in relevant field.
  • Previous applied risk and/or analytical experience in a financial services related industry.
  • Applied Collections and Recovery knowledge/experience in Auto, Card, Retail and/or Business Banking product. 
  • Positive culture carrier, curious and creative; collaborative, team-oriented, and client-focused. 

Schedule

Monday through Friday, 8:00 am to 5:00 pm

This is a Hybrid position, requiring the incumbent to commute/work on-site 3 days a week and work from home 2 days a week.  Expected to become full in-office presence in Q4 2027

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.