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Data Analytics Manager Jobs in New Mexico (NOW HIRING)

Medical Segment Sales Analytics delivers customer, sales, revenue, gross profit, pricing, and ... Understanding project management lifecycle concepts and cross-functional delivery practices.

IT Data Platform Data Engineer

Albuquerque, NM ยท On-site

$128K - $161K/yr

... analysts, data scientists, and junior engineers in feature engineering and model readiness Develops and governs metadata management, lineage, and documentation standards while driving adoption across ...

New

Senior Manager, Real-World Data Strategy Description The Real-World Data (RWD) Strategy team ... Bachelor's in Life Sciences, Data/Analytics, Epidemiology, Public Health, or related field(required)

Data Validation: Ensure data accuracy, completeness, and consistency through validation ... Ad Hoc Analysis: Assist senior management with in-depth ad hoc analysis to support strategic ...

$72K - $91K/yr

Our work supports Corporate Finance functions - Revenue Management - by simplifying operations and ... Lead analytics initiatives that deliver measurable ROI, guiding business teams in solving complex ...

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Data Analytics Manager information

See New Mexico salary details

$30K

$94.1K

$166.7K

How much do data analytics manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analytics manager in New Mexico is $94,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $121,600.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in New Mexico?

The most popular types of Data Analytics jobs in New Mexico are:

What are popular job titles related to Data Analytics Manager jobs in New Mexico?

For Data Analytics Manager jobs in New Mexico, the most frequently searched job titles are:

What cities in New Mexico are hiring for Data Analytics Manager jobs?

Cities in New Mexico with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $94,140 per year, or $45.3 per hour.

Portfolio Analytics Manager

Sandia Laboratory Federal Credit Union

Albuquerque, NM โ€ข On-site

$83K - $104K/yr

Full-time

Re-posted 11 hours ago


Job description

Job Type
Full-time
Description
Job Summary:
Responsible for the analysis and performance of Sunward's loan portfolio. Assists with the development of data-driven strategies to assess and enhance loan performance. Collaborates with various departments to provide insight into loan portfolio trends and performance metrics that align with the credit union's strategic goals to become the economic engine of the Southwest.
Essential Job Duties:
Portfolio Analysis:
  • Analyze loan product performance, identifying trends related to delinquency, charge-offs, and overall portfolio health.
  • Evaluate portfolio segmentation (e.g., loan types, geographies, credit scores) to identify areas of strength and risk, providing data insights for lending strategy adjustments.
  • Collaborate with Finance to ensure accurate forecasting of charge-offs and CECL calculations to support the Allowance for Loan Loss.
  • Conduct and communicate standard and ad hoc stress testing scenarios to determine portfolio vulnerabilities and resilience to various economic scenarios.
  • Develop and maintain key risk metrics, including delinquency ratios, net charge-off ratios, and early-stage delinquency trends.
  • Establish thresholds for key risk indicators and provide breach monitoring and escalation procedures for corrective action.
  • Build dashboards to monitor risk factors and present these insights to management and key stakeholders, enabling real-time decisions.
  • Support remediation efforts by partnering with relevant risk leaders to provide portfolio risk mitigation strategies.
  • Present portfolio performance insights and recommendations to relevant committees, including Credit Portfolio Analysis Meeting.
  • Benchmark Sunward's portfolio performance against peers and competitors to identify performance gaps and propose actionable underwriting adjustments.
  • Monitor borrower and portfolio trends in response to changes in economic conditions, including interest rate movements, unemployment trends, and housing market dynamics.
  • Provide data-driven insights to support the review of underwriting guidelines, credit risk policies, and loan pricing strategies.
  • Assist with the design and development of dashboards for risk management and reporting, including interactive tools for loan portfolio visualization.
  • Build and maintain quantitative models for scenario analysis, credit risk modeling, and forecasting, utilizing statistical methods (e.g., correlation, regression).
  • Enhance scenario analysis and market forecasting tools to optimize business strategies and capital planning.
  • Monitor portfolio concentration risk (e.g., geographic concentration, borrower segments) and recommend adjustments to mitigate exposure.

Collaboration, Reporting and Project Management:
  • Partner with business users to interpret data findings, providing risk insights and suggesting potential adjustments to business strategies.
  • Support Special Assets with financial reporting and effectiveness metrics.
  • Assist in identifying and testing robust data and modeling solutions for stress testing and credit analytics.
  • Build and maintain a forecasting framework for portfolio performance metrics.
  • Serve as admin for the Akuvo platform in creating or generating tickets to enhance metrics, systems, and efficiencies.
  • Manage project onboarding for new vendors that support technology efficiencies for Special Assets.
  • Perform other duties as assigned.
  • Work with Project Management Officer (PMO) to facilitate the effective scoping, reporting, and management/implementation of the projects.
  • Directly and indirectly supports cross-functional teams of business unit leaders, analysts, internal stakeholders, and external partners (vendors) to facilitate the on-time.

Requirements
Required Skills/Abilities:
  • Strong proficiency in Microsoft Office applications, particularly Word and Excel.
  • Advanced analytical, quantitative, and problem-solving skills.
  • Proven ability to analyze loan portfolio performance and communicate risks effectively.

Knowledge:
  • Strong knowledge of regulatory requirements, including FDCPA, FCRA, SCRA, and others.
  • Familiarity with loan underwriting, collections, and financial statement analysis.
  • Solid understanding of asset recovery and liquidation including applicable regulatory reporting requirements.
  • Strong knowledge of consumer lending, and related collection practices
  • Strong financial acumen with experience in budgeting, forecasting, and P&L management.
  • Familiar with Allowance for Loan Loss calculation under Current Expected Credit Loss ("CECL") standard
  • Familiar with statistical methods (e.g correlation, regressing, clustering, etc.)
  • Knowledge of data visualization tools like Tableau or PowerBI, Oracle Business Intelligence, or similar tools.

Education and Experience:
  • Minimum six years' combined experience in financial portfolio analysis, consumer and commercial loan underwriting requirements, collections, or a closely related field
  • Minimum bachelor's degree in business administration, finance, accounting, data science or related field, or more than six years of related experience.

Physical Requirements:
Frequent periods of sitting at a desk and working on a computer.
Must be able to lift 20 pounds at times.
Salary Description
$83,524.00 - $104,405.00