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Operations Analytics Jobs in Coppell, TX (NOW HIRING)

Operations Analyst (HR) POSITION TYPE: Full Time LOCATION: Frisco, TX (Onsite) (Note ... This is NOT a Data Analytics/Data Analyst role- must have HR onboarding/Admin exp) ABOUTWorldLink:

As a Technology Operations Analyst 2, you will be part of the Security team supporting access provisioning and technical troubleshooting. The ideal candidate will demonstrate strong problem-solving ...

As a Technology Operations Analyst 3, you will be part of the Security team supporting access provisioning and technical troubleshooting. The ideal candidate will demonstrate strong problem-solving ...

IT Operations Analyst This is a Hybrid position working from our Legacy West Support Center located in Plano Texas. "The Company does not provide visa sponsorship for this position. Applicants must ...

IT Operations Analyst This is a Hybrid position working from our Legacy West Support Center located in Plano Texas. "The Company does not provide visa sponsorship for this position. Applicants must ...

IT Operations Analyst This is a Hybrid position working from our Legacy West Support Center located in Plano Texas. "The Company does not provide visa sponsorship for this position. Applicants must ...

IT Operations Analyst This is a Hybrid position working from our Legacy West Support Center located in Plano Texas. "The Company does not provide visa sponsorship for this position. Applicants must ...

Manages and directs the daily activities of multiple operations functions. Makes recommendations to improve the productivity, quality, and efficient delivery of products and services. Develops and ...

Showing results 41-60

Operations Analytics information

See Coppell, TX salary details

$37.9K

$88K

$121.4K

How much do operations analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for operations analytics in Coppell, TX is $88,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $101,100.00 per year, depending on experience, location, and employer.

What is the difference between Operations Analytics vs Data Analyst?

AspectOperations AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data tools beneficial
Work EnvironmentBusiness operations, supply chain, manufacturing settingsOffice environments, data-focused teams across industries
Employer & Industry UsageManufacturing, logistics, retail, healthcareFinance, marketing, technology, healthcare
Common Search & ComparisonFocuses on optimizing operations through data-driven insightsAnalyzes data to identify trends and support decision-making

Operations Analytics and Data Analysts both work with data, but Operations Analytics specializes in improving business processes and operational efficiency, often within specific industries like manufacturing or logistics. Data Analysts have a broader focus on analyzing data sets across various functions. Understanding these differences helps in choosing the right career path or job role.

Are operations analysts in high demand?

Operations analysts are in high demand across various industries due to their role in improving efficiency, reducing costs, and supporting data-driven decision-making. Employers seek candidates with skills in data analysis, proficiency in tools like Excel and SQL, and the ability to interpret complex data sets, making this a growing field with strong job prospects.

How much do operations analysts get paid?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.

What does an operations analyst do?

An operations analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software and work closely with management to optimize operational performance. Strong analytical skills and attention to detail are essential for this role.

What are popular job titles related to Operations Analytics jobs in Coppell, TX?

For Operations Analytics jobs in Coppell, TX, the most frequently searched job titles are:

What job categories do people searching Operations Analytics jobs in Coppell, TX look for?

The top searched job categories for Operations Analytics jobs in Coppell, TX are:

What cities near Coppell, TX are hiring for Operations Analytics jobs?

Cities near Coppell, TX with the most Operations Analytics job openings:

Infographic showing various Operations Analytics job openings in Coppell, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $88,023 per year, or $42.3 per hour.

Quant Analytics Associate Sr - DART

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

Re-posted 6 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description

Join our team as a senior quantitative analytics associate, where you'll collaborate with business partners to design innovative, automated solutions using cutting-edge technologies, driving operational efficiency in a dynamic, learning-focused environment.       

As a Quant Analytics Associate Senior  within DART (Data, Analytics and Reporting Team), you will play a crucial role in the DART MIS (Management Information System) setup and will be tasked with delivering effective business solutions. You will collaborate closely with various stakeholders and management levels to ensure the delivery of the most optimal solutions. As a member of the DART team you will leverage a broad technology suite to implement automated solutions and deliver data driven insights.

Job Responsibilities

  • Own end-to-end MIS solution delivery: requirements gathering, metric definition, source data acquisition, modeling, transformation, validation, and visualization.
  • Design and build reliable ELT/ETL pipelines in Python/SQL; implement orchestration, version control, and CI/CD to ensure repeatability and resilience.
  • Create executive-ready dashboards and self-service data marts (e.g., Tableau) with intuitive UX and clear metric definitions.
  • Apply advanced analytics (forecasting/time series, anomaly detection, segmentation, queuing/capacity planning) to optimize operational performance
  • Implement data quality frameworks (unit/integration tests, validation checks, anomaly monitoring), define SLAs/SLOs, and maintain runbooks.
  • Translate complex findings into concise narratives for senior stakeholders; influence decisions with data-backed recommendations.
  • Identify risks opportunities proactively, and value-unlock levers in operational processes; drive innovation in data management and automation.
  • Manage the book of work, prioritize initiatives, and deliver projects on time; lead cross-functional teams as SME and mentor junior colleagues.
  • Adhere to data governance, privacy, and control standards; ensure audit readiness, reproducibility, and clear documentation.
     

Required Qualifications, Capabilities, and Skills

  • 5+ years of hands-on analytics experience delivering measurable business improvements, with a strong track record in operations analytics or MIS within complex environments.
  • Bachelor's degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science).
  • Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging).
  • Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent).
  • Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling.
  • Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering).
  • Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis.
  • Excellent verbal and written communication skills-able to synthesize complex analyses into concise executive narratives and visuals.
  • Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions.


Preferred Qualifications, Capabilities, and Skills

  • Banking industry experience and domain knowledge in Consumer & Community Bank (CCB) Operations (e.g., servicing/contact centers, payments/claims, fraud/disputes, collections) and workforce/capacity planning.
  • Experience with experimentation and causal methods (A/B testing design, uplift modeling, causal inference frameworks).
  • Modern data engineering practices: orchestration (Airflow or equivalent), transformation frameworks (dbt), API integrations, and containerization (Docker) or comparable tooling
  • Performance and cost optimization in cloud data platforms; query/profile tuning for large-scale datasets.
  • Exposure to risk and control frameworks; model documentation; audit and lineage standards in regulated environments.
  • Certifications (e.g., AWS Data/Analytics, Snowflake, Tableau).
     

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.

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