Sr Analytics Engineer

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.

• 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 (Direct Query, aggregations, composite models).
• Manage Power BI Service artifacts (work spaces, 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.

• 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.

• 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

• 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 Dev Ops & Git Hub.
• 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.