Sr Analytics Engineer

Trellance Inc•Tampa, FL

12d

About The Position

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.

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, and a minimum of three (3) years of management experience
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

Nice To Haves

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.

Responsibilities

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.