Data Analytics Engineer, Data Foundation & Journey Analytics

Full-Time, Hybrid, Boston

The Opportunity

As the Data Analytics Engineer, you will be prototyping and building data architecture that combines multiple marketing data sources, to enable a data foundation that supports marketing analytics, various marketing stakeholders to make data-driven decisions based on a high-quality and automated data environment. You will support and enable advanced sales campaigns by leveraging data to identify target audiences, optimize campaign strategies, and measure the effectiveness of marketing efforts. Additionally, you will join the workforce in building a future customer data mart, which will serve as a centralized repository for customer data, enabling more personalized and effective marketing initiatives. Furthermore, you will support AI initiatives by developing and implementing machine learning models that can predict customer behavior, optimize marketing spend, and enhance overall customer engagement.

The Team

This position is under the Data Foundation & Journey Analytics team, which acts as the liaison between marketing and enterprise data/IT teams. The team is part of the Marketing Analytics and Customer Insights group, which aims to drive growth and opportunities across the organization with brand analytics, marketing technology, insights and customer engagement.

The Impact (what your days & weeks will include):

Own and enhance advanced sales opportunity campaign
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

The Minimum Qualifications

Bachelor’s degree
3+ years of experience in the areas of 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 as well as customer journey data models with proven experience using data sources, tools, statistical principles/methodologies and techniques to improve business outcomes

The Ideal Qualifications

Master’s degree in Analytics, Applied Mathematics or Engineering with at least 5-year experience working in both insurance and financial industry.
5+ years of experience in the areas of ETL/Data warehousing, analytics or analytical data engineering.
Strong communication and collaboration skills, capability to translate complex technical concepts to business stake holders.
Strong interpersonal skills and ability to work in a team environment as well as independently
Highly experienced with data integration design for marketing application in SFMC, email marketing tools and social media marketing tools
Proven data modeling experience, solid knowledge in different data modeling types such as Star Schema, Snowflake Schema and Galaxy schema to build marketing data assets.
Experience working in Jira environment, team sharing tools as well as code repositories such as Confluence, Bitbucket, Github
Proven experience with complex statistical predictive modeling, strong story telling skills to deliver actionable insights.
Ability to lead end to end vendor data ingestion process (sftp and API)
Ability to drive and manage project roadmaps in alignment with business stakeholders. Strong storytelling skills to convey complex data insights effectively.
Proven statistical/mathematical and analytical skills, familiarity with visualization tools such as Tableau or MicroStrategy, hands-on experience with R or Python.

What to Expect as Part of MassMutual and the Team

Regular meetings with the Marketing Analytics Team
Focused one-on-one meetings with your manager
Access to mentorship opportunities
Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups
Access to learning content on Degreed and other informational platforms
Your ethics and integrity will be valued by a company with a strong and stable ethical nosiness with industry leading pay and benefits

#LI-RS1

MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

MASSMUTUAL

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Data Analytics Engineer