About
Responsibilities
Analyze and interpret large datasets to identify trends, patterns, and insights that inform business decisions.
Collaborate with stakeholders to understand business needs and identify opportunities for data‑driven solutions.
Create and/or provide governance of the Software Development Life Cycle (SDLC) documentation needed by various teams (business users, testers, trainers, and applications development teams) to successfully develop and maintain infrastructure and business systems applications.
Assist in the creation of data assets through discovery sessions, working with business stakeholders to define requirements and identify key performance indicators.
Build data assets, such as data visualizations and reports, to support data discovery and business decision‑making.
Develop and maintain documentation of business requirements, data assets, and data processes.
Work with data engineering and development teams to ensure that data assets are properly implemented and maintained.
Provide guidance and support to stakeholders on data analysis and interpretation, and help to identify and prioritize business needs.
Stay up‑to‑date with industry trends and emerging technologies in data analysis and business intelligence.
Identify and communicate data quality issues and opportunities for process improvements.
Facilitate collaboration and communication between stakeholders, data engineers, and developers to ensure that data needs are met.
Required Technical Skills
Proficiency in data analysis and visualization tools such as Power BI, and Power Platform.
Strong programming skills in languages such as SQL, Python, or R.
Experience with data modeling and data warehousing concepts.
Familiarity with cloud‑based data platforms such as Databricks, Amazon Web Services (AWS), or Microsoft Azure.
Strong understanding of data quality and data governance principles.
Experience with agile development methodologies and version control systems such as Git.
Strong technical writing and documentation skills, with the ability to communicate complex technical concepts to non‑technical stakeholders.
Education, Certifications & Designations Required:
Graduate degree in Business Analytics, Data Science, Information Systems, Mathematics, Statistics, Computer Science or related field – or – A combination of education and experience that demonstrates equivalent skills and knowledge.
Benefits
Two options for your health insurance plan (PPO or High Deductible)
Supplemental Life and AD&DD plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
Prescription drug coverage (included in your health insurance plan)
Short and Long Term Disability coverage
Vision and dental insurance plans
A robust 401(k) plan with up to a 5% employer match
A retirement savings plan that is 100% company funded
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
Eligibility to receive a yearly bonus as a Munich Re employee
A variety of health and wellness programs provided at no cost
A hybrid environment that gives you a choice in where and how you get work done
A corporately subsidized on‑site cafeteria as well as a We Proudly Serve coffee shop
An on‑site complimentary workout facility as well as walking trails on campus grounds
On‑site wellness center complete with nurse practitioner
Financial assistance for adoptions and infertility treatment
Paid time off for eligible family care needs
Tuition assistance and educational achievement bonuses
Free parking
A corporate matching gifts program that further enhances your charitable donation
Paid time off to volunteer in your community
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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Languages
- English
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