Data Analyst (MLOps & Advanced Analytics)
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
