Data Analytics Consultant

MeridianLink, Inc.
United States
29 days ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$69,840.0 - $96,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Business Analytics Applications Data Analysis Microsoft PowerPoint Power BI Application Data SQL Databases Data Analytics

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.

Requirements

  • 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.

Benefits & conditions

Pulled from the full job description Health insurance 401(k) matching Paid time off Vision insurance Dental insurance Life insurance Disability insurance, * $69,840 - $96,000

MeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process.

It is not typical for offers to be made at or near the top of the salary range. The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location.

Meridianlink offers:

  • Insurance coverage (medical, dental, vision, life, and disability)
  • Flexible paid time off
  • Paid holidays
  • 401(k) plan with company match
  • Remote work

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time., Compensation Range: $69,840 - $96,000

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

2:36 min

Integrating business experts and conceptualizing analytical use cases

Stefan Donsa Stefan Donsa +1 · LIVE

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

See all

Related articles

See all