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Remote Data Analyst Fintech Jobs in Lansing, MI (NOW HIRING)

Remote - United States Work Hours: EST hours Employment: Full-Time Geographic Restrictions ... Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis ...

Facets Analyst

Lansing, MI ยท On-site +1

$95K - $98K/yr

Remote - United States Work Hours: EST hours Employment: Full-Time Geographic Restrictions ... Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis ...

Apply fintech partnership oversight standards and regulatory expectations across the full lifecycle ... Review daily partner data submissions and reporting metrics. * Validate activity against agreed ...

ITPA11 - Business Analyst

Lansing, MI ยท On-site +1

$24.32 - $44.63/hr

Permanent Full Time Remote Employment: Flexible/Hybrid Job Number: 0801-26-21-126AM Department ... data to DHHS according to MDHHS VERA automated processes, data integrity, and securing MDHHS ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

ITPA11 - Business Analyst

Lansing, MI ยท On-site +1

$24.32 - $44.63/hr

Position Location/Remote Office: The office location is Lansing, MI. The State of Michigan is not ... data to DHHS according to MDHHS VERA automated processes, data integrity, and securing MDHHS ...

ITPA11 - Data Warehouse Modeler

Lansing, MI ยท On-site +1

$24.32 - $44.63/hr

This position functions as an information technology analyst responsible for design, development ... ITPA P11 -- Position Description Position Location/Remote Office: The office location is Lansing ...

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Remote Data Analyst Fintech information

See Lansing, MI salary details

$34.5K

$83.8K

$137.9K

How much do remote data analyst fintech jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote data analyst fintech in Lansing, MI is $83,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,400.00 per year, depending on experience, location, and employer.

What does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

What are the key skills and qualifications needed to thrive as a remote data analyst in fintech?

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

What is the difference between Remote Data Analyst Fintech vs Remote Data Analyst Banking?

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

What job categories do people searching Remote Data Analyst Fintech jobs in Lansing, MI look for?

The top searched job categories for Remote Data Analyst Fintech jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Remote Data Analyst Fintech jobs?

Cities near Lansing, MI with the most Remote Data Analyst Fintech job openings:

Infographic showing various Remote Data Analyst Fintech job openings in Lansing, MI as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,819 per year, or $40.3 per hour.

Special Investigations Unit Data Analyst

Delta Dental of Michigan

Okemos, MI โ€ข Remote

Full-time

Medical, Dental

Posted 24 days ago


Job description

Job Title:

Special Investigations Unit Data Analyst

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Fully Remote

Job Summary:

Candidates must reside in Michigan within a reasonable commuting distance of our Okemos, MI office for team meetings, collaborative sessions, and training.

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.

At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To administer data driven activities by transforming raw data into actionable information.

Primary Job Responsibilities:

  • Designs, develops, validates, and deploys data-driven analytics, predictive models, reporting solutions, and end-to-end analytical research to support Professional Review program integrity initiatives, including defining objectives, selecting and evaluating data sources, determining methodologies, performing analysis and testing, conducting quality assurance, and interpreting findings.

  • Investigates internal and external referrals, performs provider research and preliminary investigative reviews, substantiates referral activity, documents work in the appropriate case management system, and analyzes provider billing, utilization, and treatment patterns to identify outliers, emerging trends, potential fraud, waste, and abuse activity, and other areas requiring monitoring or intervention.

  • Develops recommendations regarding provider placement on or removal from Focused Review; maintains associated provider status, tracking, documentation, and follow-up records; and prepares and sends welcome and removal letters and related provider communications.

  • Creates, maintains, and enhances dashboards, databases, monitoring reports, analytic tools, scripts, and repeatable processes that support operational oversight, program integrity initiatives, performance measurement, leadership decision-making, recurring reporting, and automated analytical workflows.

  • Collects, transforms, cleanses, validates, organizes, troubleshoots, and resolves data, reporting, database, and system issues to support analysis-ready data, consistent definitions across sources, and data availability, usability, integrity, and reporting effectiveness.

  • Tracks, analyzes, and reports on denial trends, overpayments, provider performance metrics, fraud, waste, and abuse activity, and other key program integrity indicators while supporting program integrity initiatives, audits, regulatory requests, RFP responses, and special projects through data gathering, analysis, response preparation, and recommendations.

  • Serves as a consultant and subject matter resource for internal and external stakeholders by translating business needs, reporting questions, research requests, needs assessments, case studies, and related analytic deliverables into clear insights that support monitoring activities, operational improvement, and strategic decision-making.

  • Leads or supports Special Investigations Unit and program integrity meetings by developing agendas, documenting meeting minutes, reviewing provider billing and treatment patterns, and tracking follow-up items through completion.

#LI-Remote

Minimum Requirements:

Position requires a bachelor's degree in computer science, information systems, business administration or a related field and three years of experience performing data analytics in a business setting. Will accept any suitable combination or education, training, or experience.

Position requires general knowledge of insurance business, the claims processing system and other business applications; the ability to use data extraction and analysis tools, such as Microsoft Excel, Access, PowerPoint, Oracle Discoverer, ACL and others; strong communication skills; and the ability to resolve problems and use independent judgment.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.