Data Analytics Engineer
Company: MassMutual
Location: Hingham
Posted on: November 11, 2024
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Job Description:
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.
Keywords: MassMutual, Marthas Vineyard , Data Analytics Engineer, Engineering , Hingham, Massachusetts
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