Data Analyst

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• leading the development and deployment of data analytics at Intermountain Health.
• spearhead strategic initiatives, clinical standards, and operational goals through data insights.
• collaborate with business and clinical leaders across Intermountain Health.
• ensure data applications are maintained, monitored, promoted, and used effectively.
• provide expert support for management level leadership in a business or clinical area.
• develop a comprehensive understanding of customer data and business/clinical operations they support.
• fulfill high-level customer requests through data exploration, report development, and visual storytelling.
• independently provide project updates and communicate analytic findings to customers.
• lead and mentor others in analytic work demonstrations and hands-on training for customers.

Data Analyst – Technical Consultant

• Build productive business relationships with Senior leaders in the organization; leverage these relationships to develop and refine requests for analyses and to identify business opportunities. Drive realization of these opportunities through analytics and creative solutions. Help junior analysts to prioritize analyses based on business/profit impact
• Partner with marketing and loyalty program leaders to analyze direct marketing offers and customer campaigns, providing insights into marketing performance, customer behavior, and campaign effectiveness
• Conduct in-depth analysis of marketing initiatives and promotional strategies, including evaluating test results and identifying opportunities to improve marketing performance and customer engagement
• Conduct and oversee objective, rigorous analytics to help the business improve profitability, operational processes, and customer service with minimal guidance from management – e.g., identification and evaluation of revenue growth opportunities, resource optimization, optimal investment mix, competitive market dynamics, customer behavior, and pricing optimization. Ensure that analyses conducted by junior analysts are rigorous and accurate
• Distill vast datasets into actionable insights and recommendations that guide decisions and strategies. Develop presentation materials that synthesize analyses into a format ready for senior management consumption and assume a leadership role in communicating analysis findings clearly, concisely and compellingly to senior management, in both verbal and written formats. Assist junior analysts in structuring and executing their analytics and in developing presentation materials suitable for distribution to senior management clients
• Help to drive discussions with senior clients and the development, implementation and evaluation of strategic projects
• Design and deliver reporting for operating departments to provide senior leaders visibility into trends and business performance drivers
• Use technology (e.g., SQL, R, Tableau, Google BigQuery, Python) to develop analytics and reporting tools; lead integration of new technologies and tools into the department’s processes
• Work as a change agent to identify and execute improvements that drive material efficiencies in processes and reporting
• Lead and/or contribute to large-scale cross-Analytics team projects
• Drive training, on-boarding, and development of junior analysts in technical skills, tools & processes. Help them to develop their critical thinking skills, analytical techniques, and business acumen
• Analyze customer segmentation trends, CRM data, and loyalty program performance to identify opportunities for optimizing marketing strategies and improving the effectiveness of customer offers
• Serve as a key analytics partner to marketing teams by translating complex analytical findings into actionable recommendations that support more effective marketing decisions

Analytics Manager, Digital Analytics

• Proactive, technically-grounded analysis of sales motion and revenue operations.
• Building strong cross-functional relationships to drive alignment on key business objectives.
• Translating business requests into rigorous, reproducible analysis using AI tools to enhance workflow.
• Delivering findings to both technical and non-technical audiences.

Data Analyst – Revenue Ops

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools.
• Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains.
• Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders.
• Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience.
• Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations.
• Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders.
• Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value.
• Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations.
• Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle.
• Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability.
• Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Data Analyst 3, People Analytics

• Partner with key stakeholders within the Workforce Management team and cross-functionally within HR, Finance, Store/Retail Operations and IT on KPI and data delivery/visualization needs
• Participate in various workstreams to provide a foundation in advanced application of data intelligence, processes and tools
• Extract relevant data from source databases to outline key trends around demand planning, staffing, and scheduling
• Utilize data visualization to bring data to life and tell a compelling story built around actionable insights and support the communication of solutions to stakeholders
• Evolve the data analytics and reporting function by automating many of the time intensive (but largely static) data pulls and dashboards/visualizations being performed today, while incorporating new ideas and initiatives
• Build and maintain self-service reporting and scenario planning tools to place the intelligence of HR workforce planning in store operations’ hands

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