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Senior Insurance Data Analytics Jobs in New Mexico

Corning

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

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 ...

AeroVironment

Senior Data Analytics Engineer

Albuquerque, NM · On-site

$100K - $153K/yr

Worker Type Regular Summary TheSenior Data Analytics Engineer role will be critical in developing and enhancing our Oracle-based data warehouse infrastructure to support enterprise-wide Power BI ...

Posted today

Cardinal Health

$72K - $91K/yr

Sr. Data Analyst, Data Analysis Finance Digital Partner In Cardinal Health's Finance Digital ... Lead analytics initiatives that deliver measurable ROI, guiding business teams in solving complex ...

Bristol Myers Squibb

Bachelor's in Life Sciences, Data/Analytics, Epidemiology, Public Health, or related field(required ... Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance ...

JCS Solutions LLC

Life insurance * Short-and-long term disability * Paid time off (PTO) * 401k retirement plan with ... Data Analysis - Interrogate and analyze complex datasets to uncover critical trends, patterns, and ...

Cardinal Health

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 ...

Cardinal Health

$107K - $141K/yr

The Senior Manager, Product Management - Data and Analytics role is responsible for defining strategy, driving roadmap execution, and ensuring the commercial success of the WaveMark analytics ...

Posted today

Cardinal Health

This role is critical in transforming raw supply chain data into actionable insights that drive ... Lead and support strategic ad-hoc analysis projects for senior leadership, providing data-driven ...

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Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

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

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

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

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

Senior Insurance Data Analytics jobs near you

Sr Data Analytics Engineer

Corning

Apodaca, NM

$113K - $136K/yr

Full-time

Re-posted 20 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

90th of 540 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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