Develop and prototype cloud‑native analytics solutions using Power BI (Desktop, Service), DAX, Power Query (M), dataflows, deployment pipelines, and Snowflake components including schemas, virtual warehouses, roles, tasks/streams, and performance services.
Lead full‑cycle development (SDLC + agile) of secure, scalable, and cost‑efficient analytics, including design, build, test, documentation, and support.
Implement governance controls including row‑level and object‑level security, data endorsements, versioning, and reliable refresh pipelines.
Perform source‑to‑target mapping and design star/snowflake models optimized for analytics and semantic modeling.
Optimize model and query performance using aggregations, incremental refresh, model size tuning, and Snowflake performance strategies (clustering, caching).
Write medium to complex SQL queries for data validation, quality checks, and in-depth analysis.
Operationalize production pipelines, schedules, workflows, alerting/monitoring, and SLAs.
Provide Level 3 support (ServiceNow), including triage, root‑cause analysis, and stable release management.
Partner with business and technical stakeholders to define requirements, lead design workshops, and produce actionable prototypes and wireframes.
Design high‑value dashboards, reports, and analytics that provide product insights and operational decision support.
Own end‑to‑end design for visualization, reporting, and dashboard solutions that power product insights and operational decision‑making.
Communicate proactively with teams and stakeholders; escalate risks early to ensure on‑time delivery.
Champion quality, standards, and continuous improvement through architecture/code reviews, operational documentation, and usage/cost awareness across workloads.
Research emerging cloud analytics capabilities and ensure compliance with required training and SOPs (e.g., GCP, 21 CFR Part 11, CAPA).
Explore new opportunities to add value through automation, standardization, and measurement.
Support teammates to achieve shared outcomes; perform other duties as assigned.
Maintain version-controlled BI assets using GitLab (commit, push, merge requests, resolving conflicts)
Use Jira for sprint planning, task updates, story tracking, and collaboration within Agile teams.
Collaborate with data engineering teams to ensure accurate and consistent data flows.
Support root-cause analysis for data discrepancies reported by business users.
Participate in patch releases, including validation, deployment coordination, and documentation
Maintain strong, current knowledge of cloud analytics, Power BI, Snowflake, data engineering patterns (ELT/ETL), data governance, and security.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience.
5 to 8 years delivering data warehousing/data analytics solutions, including 3 to 4 years with Power BI and Snowflake.
Proven success designing enterprise dashboards and user‑centric analytic solutions.
Expertise in Power BI development (DAX, Power Query, semantic modeling, dataflows, RLS/OLS, incremental refresh, deployment pipelines).