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Remote Data Analyst Fintech Jobs in Michigan (NOW HIRING)

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

Showing results 21-40

Remote Data Analyst Fintech information

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.

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 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 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.
What are the most commonly searched types of Data Analyst Fintech jobs in Michigan? The most popular types of Data Analyst Fintech jobs in Michigan are:
What job categories do people searching Remote Data Analyst Fintech jobs in Michigan look for? The top searched job categories for Remote Data Analyst Fintech jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Analyst Fintech jobs? Cities in Michigan with the most Remote Data Analyst Fintech job openings:

Compensation Analyst (Teradyne, US Remote / North Reading, MA)

Teradyne

Frankfort, MI โ€ข Remote

$94K - $151K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team, one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

** Open to US Remote **

We are seeking a Compensation Analyst to support the design, administration, analysis, and continuous improvement of Teradyne's global compensation programs. This role will partner across HR and the business to deliver compensation insights, market analysis, and data-driven recommendations that support organizational objectives.

In this role, you will combine compensation expertise, advanced analytics, automation, and business consultation to help improve the effectiveness, accuracy, and scalability of compensation processes.

  • Conduct market pricing analyses using compensation survey data, including Radford, Mercer, Comptryx, and other market intelligence sources.
  • Analyze salary structures, pay equity, geographic differentials, and overall compensation competitiveness.
  • Support annual compensation programs, including merit planning, promotions, bonus administration, equity programs, and salary structure development.
  • Support job evaluation, market alignment, job architecture, and leveling initiatives.
  • Develop dashboards, reports, models, and decision-support tools that provide actionable workforce and compensation insights.
  • Partner with HR Business Partners and business leaders on global compensation matters, including offers, promotions, retention cases, internal equity concerns, organizational changes, and market competitiveness.
  • Leverage advanced Excel, automation solutions, and AI-enabled tools to streamline compensation processes, reporting, survey matching, job evaluation, and documentation.
  • Ensure compensation data integrity through strong governance, validation, audit, and confidentiality practices.
  • Serve as a trusted advisor by translating complex compensation analyses into clear and actionable guidance.
  • Evaluate complex compensation situations and exercise independent judgment to develop practical, data-driven recommendations aligned with company compensation philosophy, external competitiveness, and business objectives.
  • Communicate compensation concepts and confidently present and defend recommendations with HR and business leaders, including in high-visibility situations.

All About You

The ideal candidate is intellectually curious, highly analytical, and motivated by continuous learning and professional growth. They thrive in a fast-paced environment, exercise sound judgment, and consistently deliver high-quality results while managing competing priorities and deadlines.

  • Bachelor's degree in Human Resources, Business, Finance, Economics, or a related field.
  • Minimum of 6 years of progressive compensation experience.
  • Experience supporting global compensation programs.
  • Strong understanding of compensation principles, market pricing methodologies, salary structures, and compensation program administration.
  • Advanced Microsoft Excel proficiency, including complex formulas, data analysis, modeling, reporting, and automation.
  • Ability to analyze large, complex datasets and translate business questions into actionable insights and recommendations.
  • Experience building dashboards, analytical models, reports, and decision-support tools that drive business decisions.
  • Strong written, verbal, and presentation skills, with the ability to communicate complex compensation concepts to technical and non-technical audiences.
  • Proven ability to build credibility and partner effectively with HR Business Partners, Field HR, and managers.
  • Strong judgment, attention to detail, accountability, and ability to manage multiple priorities and deadlines.
  • Continuous improvement mindset with interest in automation, AI-enabled technologies, process improvement, and emerging tools.
  • Preferred: Certified Compensation Professional certification or progress toward certification.
  • Preferred: Experience with SAP SuccessFactors or similar HRIS platforms.
  • Preferred: Experience supporting job architecture and leveling frameworks.
  • Preferred: Knowledge of pay transparency, pay equity, and related regulatory requirements.
  • Preferred: Experience using AI tools and automation solutions to improve business processes.

We are only considering candidates local to position location and are unable to provide relocation for this position.

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This position is not eligible for sponsorship.

Compensation: The base salary range for this role is $94,400-151,000. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range may vary based on experience, skills, qualifications.

Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.

Benefits: Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

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