Rise Analytics - Sr Analytics Engineer in Tampa, Florida at Trellance LLC

Title of Position: Sr Analytics Engineer

FLSA Status: Exempt

Position reports to: AVP, Cloud Engineering

Reporting to this Position: n/a

Rise Analytics is a data and analytics technology company and a wholly owned subsidiary of Trellance, focused on helping financial institutions unlock the full value of their data. Through its cloud-native analytics platform, Rise enables credit unions and banks to integrate, analyze, and activate data across the organization to drive smarter decisions, improve member experiences, and accelerate growth. The platform combines a modern data lakehouse architecture with advanced analytics, AI-driven predictive models, and purpose-built solutions for marketing, lending, finance, and risk. Rise Analytics serves a growing network of financial institutions and partners that rely on its technology to transform data into actionable intelligence.

Overall Responsibility: Rise is hiring a Senior Analytics Engineer to design, build, and ship end-to-end analytics for s on our modern data platform (Snowflake + dbt) and own Power BI semantic models and dashboards. You’ll span data engineering (ingest/model/optimize), analytics engineering (business-ready marts), and BI (data modeling in Power BI, DAX, report development, governance), deliver production-grade solutions and enabling stakeholder teams.

Essential Functions:

• Lead end-to-end technical delivery: discovery to go-live; translating business needs into scalable data models, dashboards, and KPIs.
• Conduct design workshops define acceptance criteria and release plans focused on measurable impact.
• Develop AI-driven processes for efficient engagement delivery; contribute accelerators (dbt packages, Power BI templates) and playbooks.
• Architect and implement ELT pipelines in Snowflake (LZ/Bronze/Silver/Gold); build dbt models with CI/CD, tests, and lineage.
• Automate Snowflake provisioning via Terraform; enforce security and governance.
• Design Power BI semantic layers: star schema, DAX, Power Query, RLS/OLS; optimize performance (DirectQuery, aggregations, composite models).
• Manage Power BI Service artifacts (workspaces, pipelines, refresh strategies); define UI/UX standards and reusable components.
• Deliver dashboards, enablement sessions, and documentation (data dictionaries, runbooks); coach analysts and power users.
• Implement automated data quality checks, monitoring, and alerting.
• And Other Duties as assigned.

KNOWLEDGE SKILLS & ABILITIES

Position Requirements:

Minimum Education/Experience: Bachelor’s degree (BA or BS) from an accredited college or university. Minimum of seven (7) years of experience in software engineering, with a minimum of three (3) years managing successful product development OR a high school diploma with a minimum of twelve (12) years of experience in software engineering.

Company / Industry Knowledge: Prior experience in banking, credit unions or financial services industries is strongly preferred.

Required Qualifications:

• 5–8+ years delivering data/BI solutions;
• 3–5+ years in consulting and solution architecture.
• 1–3+ years financial services experience (credit unions/community banks).
• Expertise in dbt/dbt Cloud (modular modeling, tests, macros, CI/CD).
• Power BI expert: Dimensional modeling, DAX, Power Query (M), governance, security (RLS/OLS).
• Skilled in Snowflake/cloud DW: SQL performance, design, tuning.
• Strong fundamentals in data modeling (Kimball/semantic), metrics design, and visualization.
• Proficient in performance optimization, enterprise lifecycle practices.
• Excellent communication and stakeholder management.
• Exceptional communication, conflict resolution, and impediment removal skills

Other Skills & Abilities:

• Financial Services expertise (core systems, lending, ALM, GL data).
• Skilled in data movement (Estuary, Fivetran) and orchestration (Airflow, cloud-native).
• Python for ELT utilities/testing; CI/CD with Azure DevOps & GitHub.
• Knowledge of RBAC and workload separation (ETL vs BI).
• Experience with metrics layers, tabular modeling (SSAS Tabular), and Power BI migration.
• Adept at fostering transparency, communication, and adaptability in a fast-paced, demanding environments.