Data Analyst - Corporate Technology Data Engineering & Analytics
Company: MassMutual
Location: Hartford
Posted on: July 14, 2025
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Job Description:
The Opportunity Join our dynamic team as a Data Analyst –
Corporate Technology Data Engineering & Analytics, where you'll
play a pivotal role in driving the execution of our data strategy.
This role is crucial in driving digital transformation and
operational efficiency across financial systems that support
Actuarial, FP&A, Reinsurance, Treasury, Accounting and Tax
functions and requires a balance of technical expertise, business
acumen, and leadership capabilities. You will work
cross-functionally to deliver insights, mentor team members, define
standards, and collaborate with both onshore and offshore teams to
enable high-quality, scalable data solutions. The Team You’ll be an
integral part of our esteemed Corporate Technology Team, focused on
Data Engineering & Analytics. Our team operates on a global scale,
driving innovation and excellence across diverse areas of
expertise. As a Data Analyst, you'll play a pivotal role in high
impact Corporate Technology Finance Initiatives, ensuring alignment
with organizational objectives and driving impactful outcomes. This
is an opportunity to collaborate closely with our Corp Technology
leadership team as well as our CFO customers. Our team thrives on
collaboration, innovation, and a shared commitment to excellence.
Together, we're shaping the future of technology within our
organization and making a lasting impact on a global scale. Join us
and be part of a dynamic team where your contributions will be
valued and your potential unleashed. The Impact: - Analyze data
related to life insurance operations including policy
administration, reinsurance, reserves, and risk to generate
actionable insights. - Develop and maintain comprehensive data
mapping documents and work closely with data engineering teams to
ensure accurate data integration and transformation. - Collaborate
with business stakeholders to gather requirements, define KPIs, and
create reporting solutions aligned to strategic objectives. -
Partner with data engineers, architects, and IT to validate
datasets, optimize queries, and ensure scalable data pipelines. -
Work directly with onshore teams to coordinate analysis, share
requirements, and maintain consistent quality and delivery
timelines. - Mentor junior analysts by reviewing their work,
offering guidance, and promoting professional growth. - Define and
implement standards for documentation, analysis, and data
governance across the analytics team. - Apply strong data modeling
knowledge (star/snowflake schema, normalization, dimensional
modeling) to support efficient analysis and reporting. - Help build
dashboards, scorecards, and visualizations using Tableau, Power BI,
or Strategy to communicate insights to stakeholders. - Ensure data
quality and compliance with internal controls and industry
regulations. The Minimum Qualifications - Bachelor’s degree in Data
Science, Statistics, Mathematics, Computer Science, Actuarial
Science, or related technical field. - 8 years of experience as a
Data Analyst - 5 years of experience in Finance domain within the
insurance industry - 2 years of experience with Vertica/Teradata or
other similar tools for querying, performance optimization, and
large-scale data analysis. - 2 years of experience in Python and
SQL - 2 years of experience in writing detailed source-to-target
mapping documents and collaborate with technical teams on data
integration. - 2 years of experience with at least one of the
following: - Investment Principles: Knowledge of different asset
classes, investment strategies, and financial markets. -
Quantitative Finance: Understanding of financial modeling, risk
management, and derivatives. - Regulatory Framework: Awareness of
relevant financial regulations and compliance requirements. The
Ideal Qualifications - Master's degree in Data Science, Statistics,
Mathematics, Computer Science, Actuarial Science, or related field.
- Experience working in hybrid onshore-offshore team environments.
- Deep understanding of data modeling concepts and experience
working with relational and dimensional models. - Strong
communication skills with the ability to clearly explain technical
concepts to non-technical audiences. - A strong understanding of
statistical concepts, probability and accounting standards,
financial statements (balance sheet, income statement, cash flow
statement), and financial ratios. - Strong understanding of life
insurance products and business processes across the policy
lifecycle. - Proven track record of Analytical and Problem-Solving
skills. - A solid understanding of Financial Accounting Systems and
knowledge of accounting principles, reporting and budgeting -
Strong data analysis skills for extracting insights from financial
data - Proficiency in data visualization tools and reporting
software is also important. - Experience integrating financial
systems with actuarial, policy administration, and claims
platforms. - Familiarity with actuarial processes, reinsurance, or
regulatory reporting requirements. - Experience with General Ledger
systems such as SAP and forecasting tools like Anaplan. -
Exceptional communication and interpersonal skills. - Ability to
influence and motivate teams without direct authority. - Excellent
time management and organizational skills, with the ability to
prioritize multiple initiatives. LI-RK1 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, Cambridge , Data Analyst - Corporate Technology Data Engineering & Analytics, Accounting, Auditing , Hartford, Massachusetts