Staff Analyst, Ops Ecosystem Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the architecture for the CX Ops ecosystem data in Snowflake, encompassing schema design, data layers, access patterns, and the operational model.

• Determine the structure, ownership, and governance of Ops data, ensuring alignment with Data Engineering and other teams.

• Integrate datasets into unified sources of truth and establish conventions for naming and documentation.

• Define and monitor data quality standards, implementing alerting mechanisms for critical metrics.

• Transform raw cross-domain tables into clean, verified, reusable dbt models.

• Manage core models and introduce data testing, code review practices, and modeling standards.

• Review SQL, models, and dashboards for accuracy, performance, and clarity; provide coaching to analysts.

• Replace manual data extraction processes with automated solutions.

• Lead intricate cross-functional analyses, converting ambiguous business issues into actionable recommendations.

• Identify root causes and highlight trends, anomalies, and risks.

• Assist with scenario analysis and impact assessments for initiatives, operational changes, and staffing decisions.

• Establish standards for publication-ready dashboards and reporting, including defined KPIs and documented assumptions.

• Present findings, architectural decisions, and their impacts to Ops and senior leadership.

• Develop data narratives that convert findings into actionable strategies.

• Mentor and guide analysts through established standards, reviews, and knowledge sharing.

• Ensure AI agents utilize validated, trusted data foundations and contribute to necessary data models and evaluation rigor.

• Monitor deployed agent performance against Ops objectives.

• Provide guidance on where AI can be reliably used in analytical workflows and where human judgment is essential.

⛳️ Requirements

• A minimum of 5 years of experience in analytics, analytics engineering, business intelligence, or strategic operations.

• Proficient in advanced SQL, including the writing, quality assurance, and optimization of complex queries; a live technical exercise will be required.

• Strong experience with dbt, encompassing model layer design, test creation, and architectural decision-making.

• Experience in designing or managing a data environment within a cloud data warehouse, including schema design, governance, and data quality control.

• Proven collaboration with data or analytics engineering teams to transform raw data into production-ready models.

• Excellent executive communication skills, with the ability to present and justify analyses and recommendations to senior leadership.

• Experience in managing complex, cross-functional projects from inception to completion.

• Familiarity with building dashboards in Sigma, Tableau, or a similar tool.

• High attention to detail and the capability to identify data quality concerns prior to leadership reporting.

• Ability to thrive in fast-paced, ambiguous environments with changing priorities.

🏝️ Benefits

• Full-time employment includes a base salary and bonus compensation.

• Opportunity for in-person onboarding/cultural immersion through Launching into Better: LIVE for full-time, non-seasonal hires.

• Comprehensive benefits information can be found at https://benefitsatfanatics.com/.