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Associate Teradata Jobs (NOW HIRING)

Data Engineer

Plano, TX · On-site

$70 - $75/hr

SparkSQL, Scala * Experience working with relational databases (e.g., Teradata) * Experience ... AWS certifications (e.g., Cloud Practitioner, Developer Associate ) Education & Additional Skills

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How much do associate teradata jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for associate teradata in the United States is $53.69, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $57.69 per hour, depending on experience, location, and employer.

What is an Associate Teradata?

An Associate Teradata is a professional who works with Teradata's data warehousing solutions, typically in a junior or entry-level role. They assist in managing, configuring, and optimizing Teradata databases to support business intelligence and analytics needs. Responsibilities may include data modeling, query optimization, ETL processes, and supporting the maintenance of Teradata systems. This role often serves as a stepping stone to more advanced positions in data engineering or database administration. Candidates usually have foundational knowledge of SQL, database concepts, and Teradata-specific tools.

What is the difference between Associate Teradata vs Data Analyst?

AspectAssociate TeradataData Analyst
Required CredentialsBasic SQL, Teradata certifications, relevant degreeSQL, data visualization, statistical analysis certifications
Work EnvironmentData warehousing, database management, IT teamsBusiness insights, reporting, data interpretation
Employer & Industry UsageTech, finance, retail, healthcareBusiness, marketing, finance, consulting

The Associate Teradata role primarily focuses on managing and querying data within Teradata systems, often working closely with database administrators. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require SQL knowledge, Associate Teradata emphasizes database management, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Associate Teradata, you need a solid understanding of database concepts, SQL, data warehousing, and typically a relevant degree in computer science or a related field. Familiarity with Teradata Database systems, data integration tools, and certifications like Teradata Vantage Certified Associate are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills for collaborating with teams and translating business requirements into technical solutions. These skills ensure efficient data management, accurate analysis, and successful project delivery in data-driven environments.

What are some typical challenges faced by an Associate Teradata professional when working with large-scale data environments?

As an Associate Teradata professional, one of the main challenges you may encounter is optimizing query performance in complex, large-scale data environments. Managing vast amounts of data while ensuring data integrity and minimizing response times requires a strong understanding of Teradata's architecture and best practices. You'll also need to collaborate closely with data engineers, analysts, and sometimes business users to troubleshoot issues and implement data solutions that align with organizational goals. Continuous learning and adapting to new Teradata features or updates is essential for success in this role.
What cities are hiring for Associate Teradata jobs? Cities with the most Associate Teradata job openings:
What are the most commonly searched types of Teradata jobs? The most popular types of Teradata jobs are:
What states have the most Associate Teradata jobs? States with the most job openings for Associate Teradata jobs include:
Quant Analytics Associate

Quant Analytics Associate

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 20 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


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

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

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.

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