Data Analyst Visa Sponsorship Jobs in South Dakota
Data analyst visa sponsorship jobs in South Dakota are concentrated in Sioux Falls and Rapid City, where financial services firms like Citibank and Wells Fargo, healthcare systems including Sanford Health and Avera Health, and state government agencies drive consistent demand for analytics talent. The H-1B visa is the most common sponsorship pathway for qualifying roles.
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Overview
Work Arrangement:
After the initial training period, this is a hybrid role, working onsite in our Sioux Falls, SD office.
The Data Analyst III serves as a subject matter expert on maintaining the systems within the Data Science team, responsible for driving operational analytics, regulatory reporting, and fraud and compliance monitoring through high-integrity data delivery. This role owns the data labeling required to transform raw data into structured insights that support client programs, oversight functions, and enterprise decision-making. This analyst is accountable for data labeling, rule building, and tuning recommendations across multiple banking platforms (e.g., Sotera, Visa & MasterCard Fraud tools). The ideal candidate is both technically skilled and operationally aware—capable of bridging gaps between business rules, systems design, and real-time fraud/risk detection.
At The Bancorp, we’ve spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
Key Responsibilities
- Owns data labeling and quality control for internal datasets used across fraud, AML, compliance, and partner analytics.
- Creates and manages parameter mapping tools (e.g., Sotera program mapping) to support scalable alerting, spend controls, and exception handling.
- Designs, tunes, and monitors alert logic within real-time fraud systems (Visa, Mastercard, etc.), ensuring thresholds align with compliance and partner agreements.
- Builds and maintains rule-based reporting for internal stakeholders, including FCRM, Financial Ops, Level 1 Testing, Compliance, and Client Services.
- Analyzes cardholder and program-level activity for anomalies and recommends model or rule tuning adjustments to improve detection and reduce false positives.
- Leads data labeling, triage, and feedback loop cycles in Sotera for ongoing tuning improvements.
- Serves as SME for system data flows related to processor files, Sotera, Snowflake, and other core platforms.
- Documents all procedures, processes, logic, and report structures to support reproducibility, audit-readiness, and knowledge transfer.
- Trains and mentors junior analysts in technical skills and process knowledge.
- Performs other duties as assigned.
Qualification Requirements
- Bachelor’s degree in a quantitative field or equivalent work experience.
- Minimum 3 years in financial services operations or data analytics, with experience in fraud, AML, or compliance environments.
- Strong SQL, Excel, and reporting tool proficiency (e.g., Business Objects, SAS EG, Sigma).
- Experience with processor data (Galileo, i2c, FIS, etc.) and financial operations logic (e.g., ACH, prepaid, transaction coding).
- Strong understanding of fraud/risk controls, AML monitoring, and banking regulations (e.g., UDAAP, Reg E, BSA).
- Ability to work independently, manage complex data pipelines, and deliver business-ready analytics.
- 3+ years of hands-on fraud, AML, or compliance analytics experience.
- Experience with alert tuning, rule-based models, or automated triage workflows.
- Knowledge of Snowflake, GPP, Bridger, and Actimize preferred.
- Strong documentation, communication, and project collaboration skills.
- No travel required.
Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
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Data Analyst Job Roles in South Dakota
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Search Data Analyst Jobs in South DakotaData Analyst Jobs in South Dakota: Frequently Asked Questions
Which companies sponsor visas for data analysts in South Dakota?
Sanford Health and Avera Health are among the most active sponsors for analytics roles in South Dakota, given the state's strong healthcare sector. Citibank maintains a significant operations presence in Sioux Falls and has a history of H-1B filings for data and technology roles. State government agencies and regional insurance companies also hire data analysts, though sponsorship frequency varies by employer and fiscal year.
Which visa types are most common for data analyst roles in South Dakota?
The H-1B is the most common visa category for data analyst roles in South Dakota, as the position typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like statistics, computer science, or mathematics. The OPT and STEM OPT extensions are also widely used by recent graduates before transitioning to H-1B sponsorship. The TN visa is an option for Canadian and Mexican nationals in qualifying analytical roles.
Which cities in South Dakota have the most data analyst sponsorship jobs?
Sioux Falls is by far the leading city for data analyst sponsorship in South Dakota. It hosts the state's largest concentration of financial services firms, healthcare networks, and technology operations, all of which generate consistent demand for analytics talent. Rapid City is a secondary market with opportunities tied to healthcare, tourism analytics, and regional business operations. Pierre, the state capital, has occasional openings within state government and public sector agencies.
How to find data analyst visa sponsorship jobs in South Dakota?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship in the U.S. You can filter by role and state to find data analyst positions in South Dakota where employers have indicated sponsorship willingness. Because South Dakota's market is smaller than coastal tech hubs, setting up alerts and checking regularly is especially useful for catching new postings from Sioux Falls-based healthcare and financial services employers.
Are there state-specific considerations for data analyst sponsorship in South Dakota?
South Dakota has no state income tax, which affects prevailing wage comparisons employers must make when filing Labor Condition Applications for H-1B roles. The Department of Labor sets prevailing wages by occupation and geography, so Sioux Falls and Rapid City figures will differ from national benchmarks. South Dakota State University and the University of South Dakota produce analytics and computer science graduates, creating a local talent pipeline that occasionally leads regional employers to pursue sponsorship for standout international candidates.
What is the prevailing wage for sponsored data analyst jobs in South Dakota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.