Business Analyst, Analytics and Automation

🕒 vor 16 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $90.000 - $115.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧐 Business-Analyst

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

Jetzt Bewerben
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Logo of ComPsych

ComPsych

1001 - 5000 Mitarbeiter

Gegründet 1984

⚕️ Krankenversicherung

🧘 Wellness

🤝 B2B

Healthcare Insurance • Wellness • B2B

ComPsych ist ein führender Anbieter von Mitarbeiterunterstützungsprogrammen (EAP) und bietet psychische Gesundheits- und Wellness-Dienstleistungen für Mitarbeiter und ihre Familien an. Das Unternehmen konzentriert sich darauf, die Produktivität am Arbeitsplatz zu verbessern, indem es Unterstützungsdienste bereitstellt, die Mitarbeitern helfen, persönliche und arbeitsbezogene Herausforderungen zu bewältigen. Die Lösungen von ComPsych umfassen Beratung, Krisenintervention und verschiedene Wellness-Programme, die darauf abzielen, die allgemeine Mitarbeiterzufriedenheit und Leistung zu steigern.

Beschreibung

• Own, maintain, and continuously improve the contact center Power BI reporting ecosystem: dashboards, data models, pipelines, and KPI frameworks. • Build and manage Power BI REST API integration with Genesys Cloud to automate data ingestion and reduce manual extraction. • Embed AI-driven insights into dashboards -surfacing anomalies, trends, and recommendations directly in executive reporting views. • Establish and enforce a data dictionary and reporting standards; ensure every metric presented to leadership is defined, documented, and validated. • Own the analytics roadmap: prioritize, design, and deliver new reporting capabilities in alignment with Director and leadership needs. • Audit all existing WFM and operational reporting for accuracy and integrity: identify undocumented anomalies, incorrect logic, and unvalidated assumptions (e.g., abandonment rate exclusion windows, schedule adherence calculation gaps). • Investigate operational data anomalies end-to-end: root cause identification, stakeholder communication, and resolution. • Partner with WFM team, Team Leaders, and Genesys Administrators to validate data at the source and ensure consistency across reporting layers. • Build and maintain data quality monitoring, including proactive alerting when key metrics fall outside expected ranges. • Develop deep expertise in contact center planning and forecasting models, become the go-to resource for capacity planning data, volume trend analysis, and staffing scenario modeling. • Build analytical frameworks that support forecasting accuracy reviews, staffing efficiency analysis, and SLA performance tracking. • Support WFM Senior Manager and team with data-driven inputs for scheduling optimization and workforce planning. • Analyze queue performance, agent adherence, and real-time operational data to surface actionable intelligence for leadership. • Identify and eliminate manual reporting processes and build automated pipelines that free WFM and operations teams from ad hoc data assembly. • Design and implement reporting automation using Power BI, Power Automate, and Genesys data APIs aiming for outputs to be ready for executive consumption without manual intervention. • Evaluate and recommend new analytics tools, AI capabilities, and integration opportunities that advance the function's data maturity. • Other duties as needed.

🎯 Anforderungen

• 5+ years of relevant work experience in a business analyst, data analyst, or reporting/analytics role. • Advanced Power BI development: data modeling, DAX, Power Query, REST API integration, and dashboard design. • Demonstrated ability to own analytics infrastructure end-to-end: from data source to executive dashboard. • Strong data investigation skills: comfortable tracing anomalies through multiple systems to root cause. • Experience with contact center or operational analytics environments strongly preferred. • Working knowledge of forecasting and capacity planning concepts (volume trending, Erlang modeling, staffing scenarios). • High accountability orientation owns outcomes, not just tasks; follows through without being chased. • Strong written and verbal communication skills; able to present data findings to Director and SVP-level audiences. • Ability to manage multiple priorities independently in a fast-paced environment. • High attention to detail and commitment to data accuracy and reliability. • Bachelor's degree in Information Systems, Business Analytics, Computer Science, or related field.

🏖️ Vorteile

• Paid Time Off (PTO) • medical • dental • vision • 401(k) with match • robust EAP • wellness program • and much more

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