Senior Data Analytics Engineer
Ultimus Fund Solutions
WorldwideremotePosted 14 days ago
Skill Required
Data-EngineerData-AnalystAnalytics-EngineerBusiness-Intelligence-AnalystBI-DeveloperSenior-Data-Analytics-EngineerSenior-Data-EngineeringSenior-Data-AnalyticsSenior-Data-And-Insights-EngineerData EngineerAnalytics EngineeranalyticsMachine Learningdata engineeringAzuretroubleshootingSQL ServerEngineeringanalyticaldevelopingSnowflakePower BIsecuritywrittendesignCloudjQueryETLSQLandFulltime
Key highlights
- Requires 3+ years of experience in data science, analytics engineering, or business intelligence.
- Needs financial services experience, ideally supporting fund administration or asset management platforms.
Role overview
The Senior Data Analytics Engineer designs, builds, and maintains analytical models, dashboards, and data products that drive insight across the organization. The role collaborates with application development, data engineering, and business teams to create scalable, governed analytics solutions for the financial services sector while ensuring regulatory compliance.
Responsibilities
- Designs, develops, and maintains Power BI reports, dashboards, and semantic data models that support operational and executive decision‑making.
- Builds and maintains statistical models, trend analyses, and forecasting tools to support fund administration workflows and client reporting.
- Ensures data accuracy, consistency, and integrity across reporting outputs by partnering with governance and quality initiatives.
- Documents analytical methodologies, data definitions, report logic, and model assumptions to support transparency and auditability.
- Monitors and optimizes Power BI and Snowflake query performance to guarantee efficient, reliable report delivery.
- Stays current with emerging trends and capabilities in data science, analytics engineering, and business intelligence tooling.
- Provides analytical guidance and mentorship to internal teams that consume data products.
- Partners with business stakeholders to gather requirements, define KPIs, and translate analytical needs into scalable data products.
- Collaborates with technology team members to influence the design of data pipelines and structures that support analytics and reporting use cases.
- Mentors associates through instruction, coaching, real‑time on‑the‑job experiences, modeling effective practices, and advising on methods.
- Performs additional duties as required and assigned.
Requirements
- Minimum 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, along with Power BI Service administration, low‑level security, and enterprise‑scale deployment.
- Financial services experience, ideally supporting fund administration or asset management platforms.
- Equivalent education, experience, and knowledge‑skills (KSA) will be considered.
Nice to have
- Excellent analytical, troubleshooting, and communication skills with clear presentation to both technical and non‑technical audiences.
- Strong attention to data accuracy, including implementation of data validation and quality checks.
- Ability to contribute to or define enterprise analytics standards and data strategy.
- Proficiency with Microsoft Office Suite and Adobe Acrobat (useful tools).
- Willingness to mentor and coach associates, plan and delegate work, and motivate teams.
Additional details
- Snowflake Data Cloud.
- Microsoft SQL Server and advanced SQL.
- Power BI (report development, data modeling, and deployment).
- ETL/ELT frameworks and data pipelines.
- Microsoft Azure.
- Data governance, security, and access control tooling.
- 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.
- Microsoft Office Suite.
- Adobe Acrobat.
- Excellent analytical, troubleshooting, and communication skills, with ability to present findings clearly to both technical and non‑technical audiences.
- Strong attention to data accuracy, with experience implementing data validation and quality checks.
- Contributing to or defining enterprise analytics standards and data strategy.
- Aligns associates with company values and goals.
- Plans and delegates the work of others.
- Motivates and inspires others.
- Assesses the performance of self and associates to make improvements or take corrective action.
- Plans and develops systems and procedures to improve operating quality and efficiency of the department according to company policies and procedures.
- Troubleshoots issues utilizing creative and critical thinking skills.
- Multitasking, analytical, and organizational skills.
- Initiative‑taking, strategic, and meticulous approaches with a strong commitment to quality, efficiency, and effectiveness.
- Demonstrates personal integrity, responsibility, and accountability.
- Effectively uses resources such as time and information in conjunction with associates.
- Participates in solving problems and making decisions.
- Presents and expresses ideas and information, written and oral, clearly and concisely.
- Actively listens to others to achieve understanding and supports an open exchange of ideas.
- Identifies needs, arranges for, and obtains resources to accomplish individual and department goals.
- Establishes and develops effective working relationships with associates and clientele during both favorable and unfavorable situations.
- Modifies team and individual priorities and deadlines in response to added information, changing conditions, or unexpected obstacles and ensures completion.
- Equivalent education, experience, and knowledge‑skills (KSA) will be considered.