Data Analytics Engineer
Company: MassMutual
Location: Boston
Posted on: November 9, 2024
Job Description:
Data Analytics Engineer, Data Foundation & Journey Analytics
Full-Time, Hybrid, BostonThe OpportunityAs 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
TeamThis 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 actionsThe 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
outcomesThe 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-RS1MassMutual 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, Pawtucket , Data Analytics Engineer, Other , Boston, Rhode Island
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