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About
Job Description
Title of Position:
Sr Analytics Engineer FLSA Status:
Exempt Position reports to:
AVP, Cloud Engineering Reporting to this Position:
n/a
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.
Languages
- English
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