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Schwab Data Analyst Jobs (NOW HIRING)

Charles Schwab

AI/ML Ops and Data Engineer

Southlake, TX

$107K - $129K/yr

Your opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative ... Strong SQL and data modeling for analytics, scalability, and operational workloads * Strong CI/CD ...

Charles Schwab

Technical Product Manager - AI

Austin, TX · On-site

$165K - $191K/yr

... Schwab's growing portfolio of analytical AI/ML and generative AI solutions. You will partner ... Collaborate across stakeholders to deliver impactful, well-governed AI and data products that ...

Charles Schwab Inc.

DIrector - Funding (PL)

Westlake, TX · On-site

$121K - $269K/yr

Your Opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative ... Proficiency in AI, data analytics, and large enterprise databases Preferred: * Master's degree or ...

Charles Schwab

Senior Java Developer

Austin, TX · On-site

$56.75 - $72.25/hr

... ll join the Marketing Data Technology team--an agile, collaborative group powering Schwab ... Lead technical analysis, documentation, and solution design to support platform stability ...

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Schwab Data Analyst information

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$34K

$82.6K

$136K

How much do schwab data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for schwab data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Schwab data analyst do?

A Schwab Data Analyst is responsible for collecting, organizing, and analyzing data to support business decision-making at Charles Schwab. They work with large data sets to identify trends, build reports, and provide actionable insights to various departments such as marketing, operations, and finance. Their role often involves using statistical tools, data visualization software, and collaborating with other teams to ensure data-driven strategies are implemented effectively.

How do Schwab data analysts typically collaborate with other departments within the organization?

Schwab Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, product management, and IT. Collaboration often involves gathering requirements, sharing analytical insights, and presenting data-driven recommendations to help inform business decisions. Analysts attend regular meetings with stakeholders to align on project goals, clarify data needs, and ensure that analysis supports strategic objectives. This collaborative environment not only broadens your understanding of the business but also enhances communication and teamwork skills.

What are the key skills and qualifications needed to thrive as a Schwab data analyst, and why are they important?

To thrive as a Schwab Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or finance. Familiarity with technical tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required, along with knowledge of financial systems. Strong problem-solving abilities, attention to detail, and effective communication set exceptional analysts apart. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting informed decision-making within the financial sector.

What is the difference between Schwab Data Analyst vs Fidelity Data Analyst?

AspectSchwab Data AnalystFidelity Data Analyst
Required CredentialsBachelor's in Data Science, Finance, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in similar fields; strong skills in SQL, Excel, and data analysis software
Work EnvironmentFinancial services firm, collaborative team setting, office-based or remoteFinancial services company, team-oriented, often remote or hybrid
Employer & Industry UsageUsed within Schwab's investment and banking divisionsApplied in Fidelity's investment management and brokerage divisions

The Schwab Data Analyst and Fidelity Data Analyst roles are similar in required skills, work environment, and industry usage. Both positions focus on analyzing financial data to support investment decisions, often requiring similar certifications and tools. The main differences lie in the specific company context and internal processes, but overall, they serve comparable functions within their respective firms.

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Schwab Data Analyst jobs near you
Infographic showing various Schwab Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Machine Learning Ops Data Engineer

Charles Schwab

Southlake, TX • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 29 days ago

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).  

Hands-on technical lead responsible for taking AI/ML projects from development to production in Google Cloud Platform (GCP). This role owns architecture, implementation, deployment, and operations.

Required Skills

  • Expert-level Google Cloud experience, especially services used for AI/ML use cases (e.g., BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run/GKE, Composer/Airflow, IAM, Cloud Monitoring/Logging)
  • Expert Python for production-grade data and backend engineering
  • Strong SQL and data modeling for analytics, scalability, and operational workloads
  • Strong CI/CD and containerization skills (Docker, Git workflows, automated testing, release pipelines)
  • Solid cloud security and governance practices (IAM, secrets, least privilege, auditability)
  • Strong observability and reliability engineering skills (monitoring, alerting, incident response, SLAs/SLOs)
  • Fundamental understanding of AI/ML lifecycle/model development needed to productionize AI/ML systems (training/serving integration, model versioning, pipeline monitoring support)
What you have

Required Work Experience

  • 8+ years in data/software engineering, including 2+ years in technical leadership
  • Proven track record delivering production grade AI/ML use cases on GCP or other cloud providers
  • Experience building and operating scalable batch/streaming pipelines
  • Experience leading design reviews, enforcing engineering standards, and mentoring data engineers
  • Demonstrated support of critical systems in production
  • Experience partnering with data scientists/MLE/Ops teams to deliver business outcomes

Core Responsibilities

  • Design and build production-ready AI/ML powered, security related use cases on GCP
  • Lead end-to-end deployment from prototype to production with clear quality gates
  • Understand, document, and lead the resolution of technical debts
  • Implement coding standards, test strategy, data quality checks, alerting mechanisms, and operational runbooks
  • Ensure platform reliability, security, and cost efficiency
  • Mentor the MLOps and data engineers while remaining hands-on in code and delivery

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Apply