Voya Financial, Inc

Data Analyst (MLOps & Advanced Analytics)

Voya Financial, Inc$109K — $136K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in data science or related field, or equivalent experience
  • 2+ years of experience in data science solutions
  • Proficiency with machine learning and advanced analytics
  • Strong skills in SQL, Python, and data visualization
  • Solid understanding of Workplace Solutions domains
  • Excellent written and verbal communication skills

Responsibilities

  • Perform detailed exploratory data analysis to assess data quality and context
  • Build predictive models and advanced analytics solutions
  • Apply various machine learning techniques to solve business challenges
  • Collaborate with product owners to define analytical requirements
  • Present technical findings and insights through clear data visualizations
  • Evaluate data science technologies and frameworks
  • Support implementation and continuous improvement of solutions

Benefits

  • Health, dental, vision, and life insurance plans
  • 401(k) plan with generous company matching
  • Employer-paid cash balance retirement plan
  • Tuition reimbursement up to $5,250/year
  • 20 days paid time off plus holidays and a Diversity Celebration Day
  • 40 hours of paid volunteer time per year
Full Job Description
Position Summary

We are seeking a Data Analyst to join our advanced analytics and MLOps organization. This role will partner closely with product owners and technical teams to transform business objectives into actionable data insights. The successful candidate will perform exploratory data analysis, identify meaningful patterns and opportunities within complex datasets, and help drive data-informed decision-making.

This position offers a strong growth path into predictive modeling and data science work while maintaining a core focus on analytics, insight generation, and business problem-solving. The role was discussed as supporting an MLOps team and collaborating with product owners responsible for business use cases and objectives.

Key Responsibilities

  • Perform exploratory data analysis to evaluate business opportunities and uncover actionable insights.


  • Partner with product owners to understand business objectives, use cases, and data requirements.


  • Analyze structured and unstructured data to identify trends, patterns, risks, and opportunities.


  • Communicate findings and recommendations to technical and non-technical stakeholders.


  • Assess data quality, availability, and feasibility for business and analytical initiatives.


  • Support the development of predictive models and machine learning solutions through data preparation, analysis, and experimentation.


  • Collaborate with data engineering, MLOps, and analytics teams to support model deployment and operationalization initiatives.


  • Document methodologies, assumptions, and analytical findings to support ongoing business value creation.


Required Qualifications

  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.

  • Experience performing exploratory data analysis and deriving actionable business insights.


  • Strong analytical thinking and problem-solving skills.


  • Experience with Python for data analysis and manipulation.


  • Experience writing and optimizing SQL queries.

  • Ability to communicate technical concepts to business stakeholders.
  • Experience working with large datasets and modern analytics platforms.


Preferred Qualifications

  • Databricks experience strongly preferred.


  • Experience with Spark or PySpark.


  • Exposure to machine learning, predictive modeling, or data science methodologies.

  • Experience supporting cloud-based analytics environments.

  • Familiarity with MLOps concepts and model lifecycle processes.


Success Profile

The ideal candidate is naturally curious, highly analytical, and capable of translating raw data into meaningful business intelligence. They enjoy investigating complex problems, evaluating data-driven opportunities, and collaborating across technical and business teams.

The strongest candidates will demonstrate:

  • Exceptional exploratory analysis capabilities.


  • A proven ability to generate meaningful insights from data.


  • Strong modern coding skills, particularly in Python and analytics-focused technologies.


  • A desire to expand into predictive modeling and advanced analytics over time.


#LI-LW1

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$109,000 - $136,250 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer
  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year


Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:
  • Customer Focused:
  • Critical Thinking:
  • Team Mentality:
  • Business Acumen:
  • Learning Agility:


Learn more aboutCritical Skills

About Voya Financial, Inc

Voya Financial, Inc. is an American financial, retirement, investment, and insurance company based in New York City. The company was formed in 1991 as ING U.S., Inc. and was renamed Voya Financial in 2014. Voya Financial operates in the United States and has more than 6,000 employees. The company provides retirement, investment, and insurance solutions to individuals and businesses.
Learn more about Voya Financial, Inc
Size
6,000 employees
Market Cap
$5.8 billion
Industry
Net Income
-$206 million
Founded
1991
5 Year Trend
-13.7%
Revenue
$7.7 billion
NASDAQ

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