Principal Data Analyst Jobs
Principal Data Analyst jobs are open across technology, finance, healthcare, and retail, at levels from senior analyst to staff and principal, with specializations in product analytics, revenue intelligence, and machine learning pipeline development. Scan the live roles below and apply to whichever ones fit.
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*****THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****
To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing agencies. Any OCC employee wishing to submit a referral must do so through their Workday account. Any resume submitted outside of an active job posting will not be considered for employment.
What You'll Do:
OCC is seeking an individual who would be responsible for discovering, synthesizing, and analyzing information from a variety of internal and external sources, including tools, processes, documentation, and stakeholders. The ideal candidate is a proven change agent that demonstrates the ability to solve complex problems through logical, digestible solutions that deliver key value to our stakeholders. Additionally, this individual must be comfortable communicating to all levels of the organization as well as inside and outside the organization. Skills that are foundational to the success of this role include, but are not limited to, communication, analytical, problem solving, process modelling, facilitation, elicitation, scope management, leadership and agile mindset.
Primary Duties and Responsibilities:
To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.
- Act as a partner to both the business and the technology teams
- Identify scope gaps and missing requirements by acquiring an in depth understanding of current state (i.e., legacy system) and future state
- Identify product team dependencies and plan for resolution
- Use critical thinking to observe potential risks and present solution options
- Work cross-functionally to analyze and define key stakeholder business needs
- Perform requirements analysis, story decomposition, system integration analysis, and data flow design
- Regularly engage in agile activities including sprint planning and backlog grooming. Act as an advisor to the Product owner regarding next steps and approvals
- Build high quality user stories and acceptance criteria; work with scrum team to refine user stories
- Provide requirement and design support to scrum team
- Drive requirement, design, and data results support for integration across teams for end-to-end application data experience
- Mentor and support the development of junior and mid-level BSAs through knowledge transfer, deliverable review, and coaching on BSA best practices
- Support development of user interface requirements and design by collaborating with UI/UX tools and teams
- Support or develop test plans and test cases; participate in test results verification
- Assist in building cross-team collaboration and define acceptance criteria for integrated components
- Adhere to analysis best practices for epics and user stories
- Assists in developing and maintaining policies, standards, guidelines and documentation to ensure that a consistent framework is applied across the enterprise
Supervisory Responsibilities
- None
Qualifications:
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.
- [Required] Experience in Agile and software development
- [Required] 5+ years of experience in business system analysis or related experience
- [Preferred] Business experience in clearinghouse activities, capital markets, or derivatives
- [Required] Flexibility working with remote teams in alternate time zones
- [Required] Self-motivated and self-starting; working with little supervision and picking up new and unfamiliar concepts
- [Required] Experience using Confluence and Jira
- [Required] Proficient with process modeling tools such as Visio, draw.io, or Figma
Technical Skills & Background
- [Required] Experience and/or vested interest in event driven applications, streaming and batch analytics technologies
- [Preferred] Experience in and/or vested interest in cloud technologies; experience working with AWS
- [Required] Experience in different data management and visualization tools (SQL, Kafka Protobuf serialization, Starburst Trino, Swagger, Tableau, Alteryx, etc.
- [Required] Experience and/or vested interest in complex data analytics supported by python or R
Certifications
- [Preferred] CCBA, CBAP, AAC, and/or any related certification
Education & Training
- [Required] Bachelor’s degree
- [Preferred] MBA/MS degree
About Us
The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 23 exchanges and trading platforms. More information about OCC is available at www.theocc.com.
Benefits
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:
- A hybrid work environment, up to 2 days per week of remote work
- Tuition Reimbursement to support your continued education
- Student Loan Repayment Assistance
- Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
- Generous PTO and Parental leave
- 401k Employer Match
- Competitive health benefits including medical, dental and vision
Visit https://www.theocc.com/careers/thriving-together for more information.
Compensation
- The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
- In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
- We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
- All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.
Salary Range
$99,800.00 - $153,000.00Incentive Range
8% to 15%This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.
Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.
Step 2
You will receive an email notification to confirm that we've received your application.
Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.
For more information about OCC, please click here.
OCC is an Equal Opportunity Employer
See All 133+ Principal Data Analyst Jobs
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Find Principal Data Analyst JobsPrincipal Data Analyst Job Market
Who's Hiring
- Northrop Grumman21

- Capital One17

- Information Technology Senior Management Forum6
- Raytheon4

- Rocket Lab USA4

Top Industries Hiring
- Banking & Financial Services
- Technology & Software
- Insurance
- Electronics & Hardware
- Construction & Real Estate
What Employers Look For
The qualifications that appear most often in principal data analyst jobs.
- Five or more years of experience in data analysis or related analytical roles
- Advanced proficiency in SQL and at least one scripting language such as Python or R
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Demonstrated ability to translate complex analyses into executive-level recommendations
- Proficiency in BI tools such as Tableau, Looker, or Power BI for self-serve reporting
- Bachelor's degree in statistics, mathematics, computer science, or a quantitative field
Tips for Your Principal Data Analyst Job Search
Quantify impact at the right altitude
Principal-level resumes should show strategic outcomes, not just model accuracy scores. Highlight decisions your analysis directly shaped, the revenue or cost implications, and how many teams relied on your work to operate.
Signal cross-functional leadership explicitly
Hiring managers for principal roles want analysts who influence product, engineering, and finance simultaneously. Name the stakeholders you partnered with and the decisions you drove, not just the dashboards you built or the SQL you wrote.
Target postings that list a data platform stack
Job descriptions naming specific warehouses, orchestration tools, or BI layers tell you the team is mature enough to need a principal analyst. Those are the roles where your seniority is valued and your day-to-day won't be pure data cleaning.
Apply early to roles that fit
Migrate Mate lists principal data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a case study for the take-home
Most principal-level interviews include an open-ended analytical exercise. Practice walking through ambiguous business questions end-to-end: frame the problem, choose metrics, identify data gaps, and present a recommendation with confidence intervals or caveats.
Negotiate scope before you negotiate compensation
At the principal level, your reporting structure, access to raw data, and authority to set team standards matter as much as pay. Clarify who you report to, whether you manage analysts, and how your roadmap gets prioritized before accepting any offer.
Principal Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most principal data analysts?
The most active employers for principal data analysts right now are Northrop Grumman, Capital One, and Information Technology Senior Management Forum, and the most openings are in California, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand tends to concentrate in companies with large product or growth teams that run continuous experimentation.
How many principal data analyst jobs are remote?
About 80% of principal data analyst openings are fully remote or hybrid as of November 2026, reflecting the role's reliance on collaborative tools over in-person presence. Sub-areas like product analytics and growth analytics tend to have the highest share of remote-eligible postings, while roles tied to on-site operations or regulated industries lean toward hybrid arrangements.
How do you become a principal data analyst?
Start by building deep proficiency in SQL, a scripting language, and at least one BI platform, then accumulate experience owning analytical projects end-to-end rather than executing tasks assigned by others. Seek roles where you influence product or business decisions directly, document the outcomes of your analyses, and progressively take on cross-functional stakeholders. Most principal analysts reach the level after demonstrating that their insights consistently change how a team operates.
Can you get hired as a principal data analyst without prior principal-level experience?
Yes, candidates hired into principal roles for the first time typically succeed by demonstrating senior-level impact in their current position rather than a matching title. Build a portfolio of projects where your analysis drove a measurable decision, show evidence of influencing stakeholders outside your immediate team, and target companies growing quickly enough that the principal tier is newly created and not filled from internal promotions.
What does the principal data analyst interview process look like?
Most processes include an initial screening call, a technical round covering SQL and analytical problem-solving, and a case study or take-home exercise where you frame an ambiguous business question and present findings to a panel. Expect a behavioral round focused on stakeholder influence and past project ownership, and sometimes a final conversation with a senior leader to assess strategic fit and communication style.
Where can I find and apply to principal data analyst jobs?
You can find and apply to principal data analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your experience and preferred location or remote arrangement, and apply directly to each listing that fits.
See All 133+ Principal Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Principal Data Analyst Jobs