Data Analytics Engineer

$113,100 - $148,400/Yr

MassMutual

Full-time

Insurance Carriers and Related Activities

About the position

The Data Analytics Engineer at MassMutual will be responsible for prototyping and building data architecture that integrates multiple marketing data sources. This role aims to create a robust data foundation that supports marketing analytics and enables stakeholders to make informed, data-driven decisions. The engineer will also support advanced sales campaigns by leveraging data to identify target audiences, optimize strategies, and measure marketing effectiveness. Additionally, the position involves developing machine learning models to predict customer behavior and enhance engagement, contributing to the creation of a centralized customer data mart.

Responsibilities

• Own and enhance advanced sales opportunity campaigns.
• Collaborate with the Data Science team to deliver machine learning model deployment and enhancements.
• Support Marketing customer data vision and build data infrastructure to scale book of business analysis and advanced customer analytics.
• Support and build sales analytics data strategy to scale advanced sales programs.
• Support and drive innovative AI capabilities to discover and implement marketing and sales opportunities to drive ROI and MassMutual's competitive advantage.
• Deliver concise, clear and actionable presentations to decision-makers.
• Communicate data in a storytelling format, engage your audience and influence them to take actions.

Requirements

• Bachelor's degree.
• 3+ years of experience in ETL/Data warehousing, analytics or analytical data engineering; familiar with multiple data warehouse environments.
• 5+ years of experience with SQL or SQL-like languages.
• 3+ years of experience in data architecture, ideally in prototyping for campaign attribution model, marketing cross-sell model, and customer journey data models.

Nice-to-haves

• Master's degree in Analytics, Applied Mathematics or Engineering with at least 5 years of experience in insurance and financial industry.
• Strong communication and collaboration skills, capability to translate complex technical concepts to business stakeholders.
• Highly experienced with data integration design for marketing applications in SFMC, email marketing tools, and social media marketing tools.
• Proven data modeling experience with knowledge in different data modeling types such as Star Schema, Snowflake Schema, and Galaxy schema.
• Experience working in Jira environment, team sharing tools, and code repositories such as Confluence, Bitbucket, Github.
• Proven experience with complex statistical predictive modeling and strong storytelling skills to deliver actionable insights.

Benefits

• Access to mentorship opportunities.
• Networking opportunities including access to various Business Resource Groups.
• Access to learning content on Degreed and other informational platforms.