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Tier-1 brand, hybrid work, mid-level generalist BI title, and metro context increase applicant competition.
Core BI and SQL skills transfer across industries, but Salesforce and contact-center experience add specialization.
Mandatory 3+ years, SQL and BI-tool proficiency, Salesforce and data-governance expectations make screening strict.
Analyze and monitor adoption, usage, and performance data of AI-assisted products to identify trends and root causes affecting tool adoption.
Develop and maintain operational dashboards and executive reports using BI tools like Tableau, Power BI, and Salesforce reporting to track KPIs and progress.
Collaborate with cross-functional teams to translate data into actionable recommendations that inform product roadmap and operational strategy.
3+ years of experience in data analysis, business operations, or analytics roles; experience in SaaS, software products, or contact center/customer service preferred.
Proficiency in at least one BI/data visualization tool such as Tableau, Power BI, or CRM Analytics and experience with Salesforce or similar CRM platforms.
Strong SQL skills for data querying and validation; familiarity with Python is a plus.
Bachelor's degree in business, data science, statistics, computer science, or related field, or equivalent professional experience.
Experienced in AI-assisted customer service platforms and contact center operations, with knowledge of metrics like FCR and AHT.
Operates well in cross-functional, collaborative environments involving product, engineering, and operations teams in fast-paced settings.
Skilled at bridging business and technical teams, ensuring data integrity, governance, and translating complex analytics into clear executive communications.