USE DATA TO ASSIST AND OPTIMIZE THE NEXT GENERATION OF SAAS CUSTOMER SUCCESS PROFESSIONALS

As a CS BI Analyst, you will seek opportunities to apply data to the business to improve our customer retention and growth outcomes. You’ll develop and implement churn and retention models, drive business decisions around Customer Success performance and customer health measurement, and expertly use KPIS and narratives to build data driven operational excellence within our Customer Success team and executive leadership.

 This will involve:

• Partnering with stakeholders in Customer Success Business Operations, Product, and Finance to identify data opportunities.
• Designing, building, and maintaining BI models and dashboards (for on-going and ad-hoc analysis).
• Identifying data and process improvement opportunities by monitoring existing metrics, analyzing data, and partnering with internal teams.

We're looking for an expert in quantitative and qualitative analysis, who is passionate about data, reading the nuances of the business, and constantly curious about how it can be used to drive business decisions. We view this role as a trusted advisor to our Customer Success teams to help them make informed decisions around strategy, priorities, and tactics. 

WHY YOU SHOULD JOIN OUR TEAM:

Our team's mission is to be the source of actionable intelligence for Sisense. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our Customer Success leadership team are SaaS industry veterans who are hyper-focused on running a data-driven business.

Our company and product are focused around serving you. Being on the data team means you get early access to cutting edge technology & are a north star for data teams.

WHAT YOU’LL DO?

• Drive results through scalable data products in the landscape of B2B Customer Success
• Research and identify impactful business and customer success problems and translate them into structured analysis, actionable insights
• Use data analysis and business intelligence techniques to identify trends from complex data sets
• Examine customer success performance: churn, retention, adoption and customer journey / health activities data to identify opportunities for improvement
• Design & develop data structures that will allow in-depth analysis for customer success activities and collaborate with business systems teams to execute
• Build and maintain BI dashboards to make informed decisions quickly while empowering others cross functionally to have information readily accessible
• Serve as an analytics expert for customer success teams, assist with technology stack and vendors selection
• Develop strong relationships and collaborate with cross-functional teams within the Customer Success organization and across the company (BizOps, Finance, Product, R&D)
• Constantly be on the lookout for ways to improve efficiency, clarity and deliver better value to the organization
• Collaborating with leadership and end users to identify needs and opportunities for improved data management and delivery 
• Execute sophisticated quantitative analyses and advanced modeling that translates data into actionable insight
• Evaluate new tooling that will improve our customer success analytic prowess.

HOW YOU'LL RAMP:

By Day 30

• Learn the fundamentals of Customer Success — our basic KPIs, workflows, and business systems. 
• Understand our business systems and data structures
• Get to know other stakeholders in Customer Success, Finance and Business Operations who you'll be working with.

By Day 60

• Utilize our existing Sisense dashboards for analysis and start building your own.
• Be familiar with our current data warehouse and BI models. 
• Have regular meetings with other stakeholders to learn, share information, and prioritize initiatives.

By Day 90, 

• Reach a high level of proficiency with the Sisense platform to build dashboards for both long-term departments use and for one-off ad-hoc analysis.
• Work directly with Customer Success Leadership to build your analytics roadmap.

WHAT YOU'VE ACCOMPLISHED...SO FAR:

• You have worked in a start-up or tech company and are familiar with the inside customer success structure and affiliated tech stack.
• You have superior analytical, critical thinking, and quantitative skills with a passion for digging deeper and discovering the next insight.
• You have the ability to forge strong relationships with business partners at all levels of the organization.
• You have demonstrated an ability to understand business drivers, collaborate with leaders, and diagnose business problems that can be addressed through data and analytics
• You have an affinity to drive strategic direction through insightful analysis.
• You are flexible, adaptable, and able to learn on the fly. You thrive in a fast-paced, ever-changing work environment.
• You work with a high sense of urgency and rigorous attention to detail.
• You have excellent oral and written communication skills.
• You have a high level of proficiency with BI tools 
• You have strong, hands-on experience with SQL
• You have a good level of proficiency with Excel
• You have experience in Customer Success analytics/business analytics/business intelligence
• Familiarity with information systems such as: Salesforce, GainSight, Zendesk

ABOUT SISENSE

We are a radically innovative BI company focused on redefining every aspect of business analytics. We’re an industry leader with more than 2,000 global customers, including Expedia, Flexport, Nasdaq, GE, Philips & Tinder. We’ve been recognized as a leading visionary in Gartner’s Magic Quadrant for Analytics and Business Intelligence. We’re onboarding rapidly!

We have over 750 employees with offices in San Francisco, New York, Tel Aviv, Scottsdale, Melbourne, Tokyo, London and Kyiv. We believe strongly in a data-driven approach to all that we do. We're constantly measuring and optimizing everything about the business. We’ve been recognized by Comparably, Glassdoor and Best Places to Work for our amazing company culture.