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Compensation Data Analytics Jobs in New Mexico (NOW HIRING)

Corning

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and ... Competitive compensation and benefits package * A collaborative environment that supports learning ...

TECO

Manager, Compensation & Benefits

Albuquerque, NM · On-site

$125K - $157K/yr

The ideal candidate has a collaborative and forward-thinking mindset, deep expertise in compensation structures, benefits management, data analytics, and regulatory compliance, along with strong ...

TECO

Manager, Compensation & Benefits

Albuquerque, NM · On-site

$125K - $157K/yr

The ideal candidate has a collaborative and forward-thinking mindset, deep expertise in compensation structures, benefits management, data analytics, and regulatory compliance, along with strong ...

Alphatec Spine

Clinical Data Specialist II

Carlsbad, NM

$85K - $98K/yr

Data Analysis * Conduct descriptive and inferential statistical analyses, including t-tests, ANOVA ... compensation depends upon candidate's qualifications, education, skill set, years of experience ...

Varsity Tutors

Data Analysis Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Devon Energy

Master Data Maintainer

Carlsbad, NM · On-site

Our values, workplace practices, wellness programs, benefits and compensation are aimed at helping ... Strong analytical and data management skills. * Ability to communicate effectively with cross ...

Booz Allen Hamilton

Data Architect

Albuquerque, NM

$61.75 - $79.50/hr

Translatebusiness and analytical requirementsinto scalable data structures and architecture ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to ... Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and ...

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Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

What are the key skills and qualifications needed to thrive as a Compensation Data Analytics professional, and why are they important?

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

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

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What are popular job titles related to Compensation Data Analytics jobs in New Mexico? For Compensation Data Analytics jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in New Mexico look for? The top searched job categories for Compensation Data Analytics jobs in New Mexico are:
What cities in New Mexico are hiring for Compensation Data Analytics jobs? Cities in New Mexico with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you

Sr Data Analytics Engineer

Corning

Apodaca, NM • On-site

$113K - $136K/yr

Full-time

Re-posted 19 hours ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

86th of 536 rated manufacturers

Job description

Senior Data Analytics Engineer

Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact?

Would you like to join a global organization where you can build scalable data solutions, generate actionable insights, and help teams make better decisions through trusted, high-quality data?

ROLE DESCRIPTIONWhat is your role?

The Senior Data Analytics Engineer is responsible for designing, building, and maintaining reliable data pipelines while also performing data analysis to support business decision-making. This role bridges engineering and analytics, ensuring that high-quality, accurate, and accessible data is available across the organization. The position works closely with cross-functional teams to transform business needs into scalable data solutions, reporting, and actionable insights.

Major responsibilities and tasks of the position:
  • Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks and related tools
  • Build and maintain data models, dashboards, and analytics solutions that support reporting and business KPIs
  • Ensure data quality, governance, traceability, and integrity through monitoring and validation processes
  • Partner with cross-functional stakeholders to identify business needs and deliver data-driven insights and solutions
REQUIREMENTSWhat do you need to have?
  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related field
  • 3 to 5 years of experience in data engineering, data analytics, analytics engineering, or a similar role
  • Hands-on experience with Databricks, including data pipelines, SQL, Delta Lake, and notebooks
  • Strong SQL and Python skills for data manipulation, transformation, and analysis
  • Experience with ETL/ELT pipelines, data modeling, and data quality/governance practices
  • Experience with BI tools such as Power BI, Tableau, or similar platforms
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders
  • English proficiency, both spoken and written
PREFERRED QUALIFICATIONS
  • Master’s degree in Artificial Intelligence, Statistics, or a related field
  • Familiarity with SAP ERP systems and integration with data solutions
  • Experience working with manufacturing KPIs, statistical process control, or Six Sigma concepts
  • Exposure to predictive modeling and machine learning pipelines
  • Understanding of Agile methodologies such as Scrum and Kanban
BENEFITS OF WORKING FOR CORNINGWhat we offer?
  • Competitive compensation and benefits package
  • A collaborative environment that supports learning, innovation, and professional growth
  • The opportunity to work on impactful, cross-functional data and analytics initiatives
  • Exposure to modern data tools, cloud technologies, and business-critical decision-making
  • Equal opportunity employer

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com

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