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Cisco Sales Data Analysis Manager 
United States, Georgia, Atlanta 
532497146

25.03.2025
The application window is expected to close on 03/25/2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Traveling is required 10-15% of the time.

1) Accelerating deal collaboration and engagement, providing direction on:

  • Commercial positioning for complex Customer requests
  • Observability deals (CCO & COP/O11y)
  • Pricing issues (pricing of joint solutions, WPA/EA pricing, reinforcement on responses to Customer discount asks)
  • Partner conflict assistance

2. Optimizing visibility of a cross-sell campaign to accelerate joint team alignment

3. Influencing and communicating GTM Rules of Engagement to provide stakeholder clarity

4. Resolving Sales and Partner inquiries for all GTM escalations

Your Impact

  • Collaborate with the Cisco + Splunk Sales Analytics community to drive iACV growth, operational efficiency, and profitability
  • Build relationships with database architects and data stewards across Cisco and Splunk to discover new data sources and influence corporate decisions for greater functionality in our data systems.
  • Greatly improve team efficiency: scale manual processes, accelerate data visualizations, and reduce data manipulation through in-memory data enrichment and metrics calculations.
  • Prototype data foundation improvements by working with sales stakeholders and peer analytics organizations to identify data infrastructure needs.
  • Present to Splunk and Cisco Executives when requested on metrics and trends.

Minimum Qualifications

  • 5+ years of experience in a Data Analytics role, with a degree in Computer Science, Computer Engineering, Information Systems, or another quantitative field

Preferred Qualifications

  • Fast, creative problem-solver to support projects in response to the real-time nature of Sales leadership decision-making
  • Continuous improvement mindset to optimize data architecture for repeatability and scalability
  • Strong working SQL knowledge and experience working with relational databases and query authoring
  • Working knowledge of Python data manipulation techniques
  • Flexibility to adapt and interconnect different tools, including Salesforce, SAP Hana, Snowflake, Tableau, Power BI.
  • A successful history of manipulating, processing, and extracting value-based insights from large, disconnected datasets. Experience collaborating cross-functionally to build and optimize big data sets for both structured and unstructured data.