About Highspot

Highspot helps sales teams improve customer conversations and achieve their revenue goals. From content optimization and performance analytics to in-context training, guided selling, and more, the Highspot platform delivers enterprise-ready features in a modern design that sales reps and marketers love. Using Highspot, marketing leaders have deep insights and analytics into the performance and influenced revenue of content, campaigns, and marketing assets. What makes the solution special? It’s loved by sales reps globally, and is the #1 rated sales enablement platform on G2 Crowd. 

We are committed to diversity as both a moral and business imperative. 

About the Role

In this role you will be part of the Revenue Analytics team and play a key role in defining, building and advancing Highspot’s go-to-market strategy. Your mission will be to deliver quantitative analysis, decision support and reporting artifacts on a broad range of business topics. This requires the ability to identify the appropriate data sources, assess their usefulness, consolidate the required attributes, and derive meaningful information and insights. The focus goes beyond creating reports and pulling data – it is to tackle complex business problems, build compelling data-driven stories and become a trusted business advisor to a variety of cross functional stakeholders.

Highspot’s success and rapid growth resulted in explosive increase in demand for analytics. We are looking for a dynamic, versatile Marketing analytics professional who can define end-to-end analytics solutions, easily pivot between strategy and execution, and be passionate about learning and developing at the pace of our rapidly growing business. 

What You'll Do

• As Sr. Data Analytics Manager, Marketing you will define Marketing analytics methodology and self-service capabilities, lead their build out as well as deliver ad-hoc research to cross-functional stakeholders. Specific focus areas will include customer insights, sales funnel performance, rep performance, growth tends, forecasting, etc. To do this effectively you will




• Deliver accurate and impactful analysis based on solid understanding of data sources and business needs, including economic, financial, and statistical analysis 
• Translate business questions into, analytic hypotheses, data needs and reporting requirements 
• Define data collection requirements (attributes, format, structure) and represent them during the data warehouse and software engineering projects 
• Clearly and concisely present strategic and tactical recommendations; develop compelling presentations for both internal and external customers 
• Partner with senior business leaders on solving complex business challenges and provide relevant data-driven insights 
• Develop analytical models to estimate the impact of different scenarios, assisting in the business decision making process 
• Design, develop and maintain compelling, accurate, and reliable analytical reports 
• Become a trusted advisor to key go-to-market stakeholders and provide ad-hoc reporting, data extracts, and analyses

The ideal candidate will: 

• Be able to synthesize business scenarios into meaningful actionable Analytics and Reporting requirements 
• Use technical skills and knowledge to identify, collect and evaluate data, required for analyses 
• Have strong practical experience building and delivering (via reporting solutions, storytelling and formal presentations) quantitative research and business reporting solutions 
• Be a leader, mentor and sponsor to more junior team members
• Be self-motivated, able to deal with ambiguity, and work well under pressure to meet deadlines within short time constraints 

Your Background

• Passion for improving business outcomes through data and analytics solutions 
• Proven expertise and track record of success delivering analytics for B2B marketing, funnel, and customer journeys as well as developing customer segmentation and journey maps in a B2B SaaS environment 
• 10+ years of experience in analytics or data science, including education in a related field
• Ability to cover a wide range of activities; from C-level presentations to hands-on data preparation. 
• Background in data mining and statistics 
• Deep knowledge of analytical tools, such as Tableau, R, Qlik, MS Reporting Services, PowerPivot, etc.
• Experience with Marketing attribution tools and Google Analytics
• Solid practical experience with relational databases and proven expertise in SQL 
• Strong working knowledge of modern data management practices and architectures
• Strong communication skills, including the ability to summarize and visualize complex analyses that tell a compelling story.

Benefits

Full medical, dental, and vision benefits

Flexible work and vacation schedules

Transportation benefits

Competitive compensation and equity

Fully-stocked kitchen with healthy snacks and drinks

Free catered Friday lunches

Team building outside of the office

Company bonding events throughout the year

Opportunities to attend trade shows, conferences, and industry events

Open office, based in the heart of Seattle

Great views of the city and Puget Sound

Meaningfully contribute to a compelling vision

Equal Opportunity Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.