Business Intelligence Manager

Company	Splunk
Location	Texas, USA, Florida, USA, Arizona, USA
Salary	$86400 – $118800
Type	Full-Time
Degrees	Bachelor’s, MBA
Experience Level	Senior, Expert or higher

Bachelor’s degree in Business, Analytics, Finance, Economics, or a related field. MBA or equivalent strategic experience is preferred.
7+ years in a business-facing data analysis role, preferably in enterprise or B2B environments.
Experience supporting GTM teams (Sales, Marketing, CS)
Advanced proficiency in SQL and hands-on experience with SAP HANA, Snowflake, or equivalent data warehouse systems.
Expertise in BI tools such as Tableau, Power BI, or Looker.
Demonstrated ability to convert data into business storytelling and influence at the VP/C-level.
Exposure to SaaS or recurring-revenue business models.
Familiarity with financial KPIs and modelling frameworks (e.g., ARR, NRR, CAC payback, pipeline velocity).
Background working with Salesforce, SAP, Oracle, or other ERP/CRM platforms.

Partner with senior business stakeholders to define high-impact analytical projects aligned with business objectives, such as customer segmentation, account planning, GTM execution, or operational scale.
Develop data models and frameworks that provide visibility into performance drivers and leading indicators for business key initiatives.
Identify strategic growth opportunities through cohort, funnel, retention, and whitespace analyses, translating patterns into financial and operational recommendations.
Collaborate with Sales Strategy, Sales Operations, and Finance teams to align operational data with key financial objectives (e.g., ARR, margin improvement, CAC, ACV).
Utilise SAP HANA and Snowflake to design and execute complex data queries across sales, marketing, finance, and customer success ecosystems.
Translate business questions into analytical problems and synthesise large-scale, multidimensional datasets into clear narratives that guide executive decisions.
Enable performance benchmarking across business units, geographies, and customer segments.
Lead data analysis initiatives that enhance GTM Strategies, Segmentation, resource allocation, and territory planning. Drive revenue-focused modelling and scenario analysis focused on improving customer lifetime value (LTV), reducing churn, and increasing deal velocity.
Develop and support dynamic dashboards (e.g., Tableau) scorecards, and data-driven business reviews for senior leadership and cross-functional teams.

No preferred qualifications provided.