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Über
Senior Data Analyst Location:
Orlando, FL (Onsite) Job Type:
Full Time, Direct-Hire Salary:
$140,000-$155,000 + Bonus + Equity Benefits : Free Healthcare, 401k match, PTO, HSA, FSA, Employee Assistance Program, and more.
Why Join the Company:
Competitive compensation package including free healthcare options with bonus potential and equity after 1 year of employment.
The organization is shaping the future of financial services with cutting‑edge tech - innovating through advanced technology, proprietary data analytics, and tech‑driven investment strategies
They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in longevity‑based investing, truly a unique place to build a career at the forefront of an emerging market
About the Role:
Seeking a highly skilled Senior Data Analyst to lead the design, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high‑impact business problems, and can translate analytical insights into actionable strategies.
Job Responsibilities of the Senior Data Analyst:
Design, build, validate, and deploy
machine learning models
and advanced analytics solutions in production environments.
Analyze large, complex
structured and unstructured datasets
to uncover trends, patterns, and opportunities.
Apply advanced
statistical modeling , hypothesis testing, and experimental design methodologies to answer key business questions.
Develop and maintain scalable
Python
(pandas, NumPy, scikit‑learn, etc.) and
SQL
code to process, analyze, and transform data.
Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.
Create clear, compelling data visualizations using tools such as
Tableau, Power BI, matplotlib, or seaborn .
Leverage cloud platforms ( AWS, Azure, or GCP ) and modern data stack technologies to improve model performance and data workflows.
Communicate insights and recommendations to technical and non‑technical stakeholders.
Preferred Experience of the Senior Data Analyst:
4+ years of experience in data science, machine learning, or advanced analytics roles
Strong proficiency in
Python
(e.g., pandas, scikit-learn, NumPy) and
SQL
Proven experience
building, validating, and deploying machine learning models in production environments
Deep understanding of
statistical modeling, experimental design, and hypothesis testing
Experience working with large, complex datasets (structured and unstructured)
Familiarity with
cloud platforms
(AWS, GCP, or Azure) and modern data stacks
Strong
data visualization skills
(e.g., Tableau,
Power BI , matplotlib, seaborn)
Strong communication skills
with the ability to translate complex concepts into business‑friendly insights
Collaborative mindset with experience influencing stakeholders across technical and non‑technical teams
Curiosity, adaptability, and a passion for continuous learning
Bonus Experience of the Senior Data Analyst:
Experience working in the financial industry (wealth management, investment management, financial services)
Strong experience within cloud platforms
#LI-HM1 #INMAR2026
Sprachkenntnisse
- English
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