Together we fight for everyone’s opportunity for a better financial future.
We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.
Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.
Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage –
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.
- 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.