Senior Data Analytics Engineer

Responsibilities

• The Senior Data Analytics Engineer is responsible for developing and maintaining analytical models, dashboards, and data products that surface meaningful intelligence across the organization. Additionally, this role partners closely with application development, data engineering, and business teams to deliver scalable, well-governed analytics solutions aligned with regulatory and client requirements in the financial services industry.
• Power BI (report development, data modeling, and deployment).
• 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.
• Partners with business stakeholders to gather requirements, defines KPIs, and translates 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.
• 3+ years of experience in data science, analytics engineering, or business intelligence, with 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.

Languages