Process & Analytics Specialist

Position Overview

Process & Analytics Specialist is a senior member of the Operational Excellence team, responsible for driving data‑informed decision‑making across daily operations.

• Lead analysis of complex operational data to identify trends, patterns, and emerging risks.
• Proactively deliver forward‑looking insights that inform operational and strategic decisions.
• Define and evolve KPIs to ensure alignment with business objectives.
• Serve as a trusted decision‑making partner to operations leadership on performance and optimization opportunities.

• Design, build, and deploy automations to improve operational efficiency.
• Identify repeatable solutions and scale them across teams.
• Leverage tools and scripting to eliminate manual processes.
• Own the identification, prioritization, and scaling of automation opportunities across teams.
• Standardize automation approaches across operational work streams.

• Develop a deep, end‑to‑end understanding of operational workflows and interdependencies.
• Lead root cause analysis and identify systemic process issues impacting performance.
• Drive process improvement initiatives using data‑driven insights.
• Partner with Operational Excellence leaders to prioritize and implement high‑impact improvements.
• Lead cross‑workstream process improvement initiatives, ensuring alignment and consistency.
• Apply Lean/Six Sigma methodologies to process and analytics improvements.
• Establish feedback loops for ongoing optimization.

• Design and oversee scalable dashboards, reporting frameworks, and performance monitoring tools.
• Ensure data integrity, consistency, and usability across reporting solutions.
• Move beyond descriptive analytics to incorporate diagnostic and predictive insights where applicable.
• Define and govern enterprise standards for reporting and dashboard development.
• Ensure consistency and alignment of reporting across work streams.
• Data Governance & Enablement:
  Ensure data quality and consistency across Snowflake and reporting layers.
• Partner with data teams to optimize semantic models.
• Enable self‑service analytics through training and documentation.

• Act as a key liaison between operations, product data/technology teams, and leadership.
• Influence stakeholders across multiple levels of the organization.
• Translate complex analytical findings into clear, actionable recommendations.
• Train operational teams on SQL and data best practices.
• Promote data literacy and adoption of analytics tools.

• Set strategy and priorities for analytics and process improvement work across teams to maximize business impact.
• Own and drive key analytical initiatives from problem definition through execution and impact measurement across the product.
• Establish frameworks to track and quantify the impact of operational improvements and standards for controlled processes and analytics that are adopted across stakeholders.
• Continuously refine analytical approaches to increase business value and operate with end‑to‑end accountability for outcomes and sustained impact.

• 8‑10+ years of experience in data analytics, business analytics, or operations analytics roles.
• Demonstrated experience working closely with operational teams and understanding complex workflows.
• Advanced proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, Looker, etc.).
• Strong experience building scalable dashboards and reporting frameworks.
• Proven ability to influence decision‑making through data and insights.
• Strong analytical thinking, problem‑solving, and critical reasoning skills.
• Excellent communication skills with the ability to engage senior stakeholders.
• Strong sense of ownership; drives initiatives through to completion and impact.
• Ability to lead without direct authority across multiple teams.
• Experience in Operational Excellence, Lean, Six Sigma, or continuous improvement methodologies preferred.
• Background in healthcare, payments, or other high‑volume, process‑driven environments preferred.
• Experience with predictive analytics, trend…