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Remote Data Analytics Consultant Jobs (NOW HIRING)

MeridianLink is seeking a Data Analytics Consultant with a strong foundation in credit risk analysis and consumer lending performance to support financial institutions in optimizing their ...

... Consultant to join our Emerging Solutions team focused on AI, Data & Analytics. We specialize in providing strategic insights and transformative solutions to healthcare organizations, including ...

Hybrid / Remote (Global Client Base) Engagement Type: Contract / Consultancy Duration: 6-12 months ... Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.

Hybrid / Remote (Global Client Base) Engagement Type: Contract / Consultancy Duration: 6-12 months ... Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

... Remote Salary: $100,000 - $115,000 About Us: Capio Group is a California-based Information ... Provide data and technology support necessary to enable the client to meet related business ...

Marketing Analytics Consultant, Remote (with initial onsite onboarding in Naperville, IL). Start ... Ensure data accuracy across digital analytics platforms, troubleshoot tracking discrepancies, and ...

Ensure data protection measures are integrated throughout the information lifecycle to safeguard ... Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote We ...

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building ... Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ...

Remote Data Entry Analyst Boston, Massachusetts, United States Or refer someone Job Openings Remote Data Entry Analyst About the Job Remote Data Entry Analyst This is your chance to start a long ...

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Remote Data Analytics Consultant information

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How much do remote data analytics consultant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data analytics consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What does a remote data analytics consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

What are the key skills and qualifications needed to thrive as a remote data analytics consultant?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

How do remote data analytics consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

More about Remote Data Analytics Consultant jobs

What cities are hiring for Remote Data Analytics Consultant jobs?

Cities with the most Remote Data Analytics Consultant job openings:

What are the most commonly searched types of Data Analytics Consultant jobs?

The most popular types of Data Analytics Consultant jobs are:

What states have the most Remote Data Analytics Consultant jobs?

States with the most job openings for Remote Data Analytics Consultant jobs include:

Infographic showing various Remote Data Analytics Consultant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

$69K - $96K/yr

Full-time

Posted 12 days ago


Job description

MeridianLink is seeking a Data Analytics Consultant with a strong foundation in credit risk analysis and consumer lending performance to support financial institutions in optimizing their underwriting and decisioning strategies. This role focuses on analyzing credit data, loan performance, and bureau information to help clients improve approval rates, manage risk, and enhance portfolio health.
In this role, you will partner closely with clients and internal teams to evaluate credit policies, interpret credit reports and performance trends, and translate analytical findings into practical lending recommendations. You will lead multiple client engagements, guiding institutions through data-driven insights that support responsible growth and sound risk management.
As a trusted advisor within the Analytics Team, you will help clients understand how MeridianLink's decisioning platforms and analytics tools can be used to strengthen underwriting, improve member experience, and drive sustainable lending outcomes.
This role is ideal for individuals who are passionate about consumer credit, enjoy working directly with financial institutions, and take pride in delivering clear, actionable insights that influence lending strategy.
Key Responsibilities
  • Develop a strong understanding of MeridianLink decisioning platforms, including MeridianLink Consumer and DecisionLender, and how applications flow through the underwriting and approval process.
  • Analyze credit bureau data, application data, and loan performance data to evaluate portfolio risk, approval trends, and delinquency patterns.
  • Review and assess underwriting guidelines, scorecards, and decision rules to identify opportunities for optimization.
  • Interpret consumer credit reports, including tradelines, inquiries, utilization, and public records, to support risk profiling and policy recommendations.
  • Evaluate key lending metrics such as approval rate, decline rate, capture rate, delinquency, charge-offs, and loss rates.
  • Support clients in balancing risk management and growth through data-backed policy and strategy recommendations.
  • Prepare client-facing reports and dashboards that clearly communicate portfolio performance and risk trends.
  • Lead and participate in client meetings to present findings, explain credit risk drivers, and discuss optimization strategies.
  • Collaborate with internal analytics, engineering, and product teams to deliver high-quality analytics solutions.
  • Ensure accuracy and consistency across all analytical deliverables.
  • Contribute to internal best practices, documentation, and training related to credit risk and lending analytics.
  • Assist in developing scalable tools and templates for portfolio monitoring and underwriting analysis.
  • Serve as a trusted advisor to clients on industry best practices in credit risk management and consumer lending.

Qualifications
  • Bachelor's degree in Finance, Economics, Business, Statistics, Mathematics, Data Analytics, or a related field preferred.
  • 3-6 years of experience in credit risk analysis, underwriting, lending analytics, or financial services consulting preferred.
  • Experience working with consumer credit data, bureau reports (Experian, Equifax, TransUnion), or loan performance data strongly preferred.
  • Solid understanding of consumer lending fundamentals, including underwriting, risk tiers, scorecards, and policy rules.
  • Experience in analyzing loan performance, delinquency, and loss trends.
  • Strong analytical and problem-solving skills with the ability to translate data into business recommendations.
  • Experience and demonstrated expertise in SQL is required.
  • Proficiency in Microsoft Excel and PowerPoint for analysis and client presentations.
  • Advanced competency in business intelligence tools (Power BI, Sisense, or similar) preferred.
  • Strong project management and organizational skills, with the ability to manage multiple client engagements.
  • Excellent written and verbal communication skills, with the ability to explain credit risk concepts to technical and non-technical audiences.
  • High attention to detail and strong commitment to data quality and accuracy.