Whats Cool About This Job
looking for a strong Customer Success Data Scientist to find the stories buried in our data. As a Data Scientist in the Customer Success Department, you will leverage your analytical skills and expertise in data science to support and optimize our Technical Support, Premium Services, Professional Services, and Customer Success Management teams. Your work will directly impact customer satisfaction, retention, and overall success by providing actionable insights, predictive models, and strategic recommendations.
Responsibilities include:
Offer precise, proactive, and detail-oriented insights into account statuses.
Analyze customer data to identify trends, patterns, and key metrics that influence customer satisfaction and success.
Develop predictive models to anticipate customer needs, potential issues, and opportunities for upselling or cross-selling.
Conduct deep-dive analysis to understand customer behavior, product usage, and pain points.
Create and maintain dashboards and reports to track key performance indicators (KPIs) for the Customer Success teams.
Present findings and recommendations to stakeholders in a clear and actionable manner.
Collaborate with cross-functional teams, including Product, Engineering, and Sales, to drive customer-centric initiatives.
Collaborate with our BI team to improve our analytics infrastructure and data quality.
Focus on analyzing customer journeys and touchpoints.
Identifies pain points and opportunities for improving the customer experience.
Works with the customer success team to implement data-driven improvements.
Bachelors degree in Business, Communications, Information Systems, Data Science or a related field
5-10 years of proven experience in similar positions.
Analytical Skills: Proficient in analyzing metrics to identify trends, correlations, and opportunities for optimizing customer success strategies and driving positive outcomes.
Advanced reporting skills with the ability to communicate operational data effectively to cross-functional internal stakeholders, informing decision-making and driving alignment.
Familiarity in SQL for data querying and manipulation, with experience in Salesforce reports.
Ability to work independently and as part of a team in a fast-paced environment
A customer-centric mindset with a passion for helping others and ensuring customer satisfaction
Experience with data visualization tools such as Tableau, Power BI, or similar.
Proficiency in programming languages such as Python or R.
Knowledge of machine learning algorithms and statistical analysis.
