Senior Data Analytics Engineer

Ultimus Fund Solutions

Senior Data Analytics Engineer responsible for analytics solutions and data products. Collaborating with various teams in the financial services industry to enhance data-driven decision making.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining analytical models, dashboards, and data products, with a strong focus on Power BI and cloud data platforms. Proficient in statistical analysis, machine learning techniques, and ensuring data accuracy within financial services contexts.

Highest-signal resume keywords

Power BI DevelopmentData ModelingSnowflake ExperienceStatistical AnalysisFinancial Services Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAnalytics EngineeringStatistical AnalysisMachine LearningPredictive ModelingData WranglingExploratory Data AnalysisETL ToolsData GovernanceForecasting Tools

Tools & Technologies

Power BISnowflakeMicrosoft Office SuiteAdobe Acrobat

Industry Keywords

Financial ServicesFund AdministrationAsset ManagementRegulatory ComplianceData Integrity

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

Develop and maintain analytical models, dashboards, and data products
Partner closely with application development, data engineering, and business teams
Deliver scalable, well-governed analytics solutions
Design and develop Power BI reports, dashboards, and semantic data models
Build and maintain statistical models and forecasting tools
Ensure data accuracy and integrity across reporting outputs
Stay current with emerging trends in data science, analytics engineering, and business intelligence tooling.

Requirements

What you’ll need

3+ years of experience in data science, analytics engineering, or business intelligence
Strong hands-on development and deployment of Power BI reports and data models in production environments.
Experience querying and working with data in Snowflake or similar cloud data platforms.
Financial services experience, ideally supporting fund administration or asset management platforms.
ETL/ELT tools and modern data engineering frameworks.
Regulatory and compliance considerations related to financial data.
Statistical analysis, data wrangling, and exploratory data analysis techniques.
Machine learning or predictive modeling techniques applied to business use cases.
Proficiency in Microsoft Office Suite and Adobe Acrobat.

Benefits

Comp & perks

Health insurance
Professional development opportunities