Data Analytics Engineer - Marketing

$113,100 - $148,400/Yr

MassMutual - Boston, MA

Full-time - Mid Level

Remote - Boston, MA

Insurance Carriers and Related Activities

About the position

As a Data Analytics Engineer at MassMutual, you 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, enabling stakeholders to make informed, data-driven decisions. You will also contribute to advanced sales campaigns by leveraging data to identify target audiences and optimize marketing strategies. Additionally, you will play a key role in developing machine learning models to predict customer behavior and enhance marketing effectiveness, while collaborating with various teams to drive innovative AI capabilities.

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 in a relevant field.
• 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.
• Proven experience using data sources, tools, statistical principles/methodologies, and techniques to improve business outcomes.

Nice-to-haves

• Master's degree in Analytics, Applied Mathematics or Engineering with at least 5 years of experience in the 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, and Github.
• Proven experience with complex statistical predictive modeling and strong storytelling skills to deliver actionable insights.

Benefits

• Competitive salaries with incentive and bonus opportunities.
• Access to mentorship opportunities.
• Networking opportunities with various Business Resource Groups.
• Access to learning content on Degreed and other informational platforms.
• Strong ethical business practices with industry-leading pay and benefits.