Sr. Analytics Engineer

Invictus Strategy & Solutions•Tampa, FL

1d•Hybrid

About The Position

Invictus is seeking a Senior Analytics Engineer to join on a full-time basis in Tampa, Florida. This role is responsible for designing, building, and delivering end-to-end analytics solutions across a modern data platform using Snowflake, dbt, and Power BI. The ideal candidate will span data engineering, analytics engineering, and business intelligence, translating business requirements into scalable data models, production-grade pipelines, semantic layers, and executive level dashboards. This is a high visibility hybrid role supporting complex financial services operations, requiring strong technical depth, stakeholder engagement, and the ability to deliver business-ready analytics solutions that drive decision making across the organization.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, Mathematics, Statistics, or related field; or equivalent experience
Minimum of 5 to 8 years of experience delivering data engineering, analytics engineering, or business intelligence solutions
Minimum of 3 years of experience supporting architecture, consulting, or end-to-end solution delivery
Financial services experience required, preferably within banking, credit unions, lending, or consumer financial services
Strong hands-on expertise with Snowflake, dbt, and Power BI in enterprise environments
Advanced SQL skills with strong knowledge of performance tuning, data warehouse design, and dimensional modeling
Strong experience with Power BI including semantic modeling, DAX, Power Query, governance, and security frameworks
Experience building and supporting production-grade ELT pipelines and reporting solutions
Strong understanding of Kimball methodology, semantic layers, KPI design, and business-ready analytics models
Excellent communication and stakeholder management skills with the ability to translate technical concepts into business outcomes

Nice To Haves

Experience with financial services core systems, lending platforms, ALM, GL, or related financial data environments
Experience with data movement platforms such as Fivetran, Estuary, or similar ingestion tools
Experience with orchestration tools such as Airflow or cloud-native scheduling platforms
Python experience for ELT utilities, automation, or testing
Experience with CI/CD platforms such as Azure DevOps or GitHub
Familiarity with metrics layers, SSAS Tabular, or Power BI migration initiatives
Strong understanding of RBAC, workload separation, and enterprise governance practices

Responsibilities

Lead end-to-end analytics delivery from discovery through go-live, translating business needs into scalable data models, dashboards, KPIs, and reporting solutions
Conduct design workshops, define acceptance criteria, and support release planning focused on measurable business outcomes
Architect and implement ELT pipelines across Snowflake using layered architecture including landing, bronze, silver, and gold environments
Develop and maintain dbt models with testing, lineage, CI/CD, and modular design standards
Design and optimize Power BI semantic models using star schema design, DAX, Power Query, row-level security, object-level security, and performance optimization strategies
Build and maintain Power BI dashboards, reports, and reusable reporting components aligned to governance and UI/UX standards
Manage Power BI Service artifacts including workspaces, deployment pipelines, refresh strategies, and access controls
Support automation of Snowflake provisioning and governance using infrastructure and deployment best practices
Implement data quality checks, monitoring, alerting, and documentation including runbooks and data dictionaries
Partner with business stakeholders, analysts, and leadership teams to define reporting requirements and improve data accessibility across the organization
Deliver enablement sessions and coach analysts and power users on reporting standards and best practices
Work within Agile teams using JIRA and participate in sprint planning, backlog refinement, reviews, and retrospectives