At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture.
Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.
Supported by operating principles of being strategy-led, -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together!
Position Overview:
We are seeking a skilled and experienced Sales Analyst to join our team. As a Sales Analyst with at least 5 years of experience, you will play a vital role in analyzing complex datasets, generating insightful reports, and providing data-driven recommendations to support the Chief Revenue Officer's understanding of the business. You will be comfortable working independently and proactively to coordinate with our internal business teams (customers) and internal data providers to seek clarification and resolution when data provided does not meet the business requirements.
You will work with GTM Operations internal customers such as Sales, Marketing, Customer Success, and Finance to support our ongoing weekly, monthly, quarterly, and annual reporting cadence. You will work with a combined team of Business Systems Architects, Business Systems Analysts and Sales Operations to keep our Go-To-Market programs world-class.
What you will do: * Analyze large and complex datasets using statistical techniques, data mining, and data cleaning methods to identify trends, patterns, and correlations. Interpret and validate data to ensure accuracy and reliability of insights.
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