Fast Facts

The Customer Success Data Specialist at PiP will use data insights to enhance customer adoption of an AI-powered tutoring platform for K-5 literacy, working closely with education stakeholders and internal teams.

Responsibilities: Key responsibilities include data mining and analysis, creating reports and dashboards, customer outreach for diagnosing data issues, and collaborating with teams to develop strategies based on insights.

Skills: Proficient in Python for data analysis, solid understanding of statistics, expertise in data visualization tools such as Excel and BI platforms like Tableau or Power BI, and strong attention to detail.

Qualifications: 3-5 years of experience in data analysis roles, ideally with a background in Edtech or K-5 education, and familiarity with SaaS implementation is preferred.

Location: This is a remote position based in the US.

Compensation: $120000 - $120000 / Annually

The Talent Search Group at PiP is seeking a Customer Success Data Specialist on behalf of our client, an EdTech supporting K-5 literacy with an AI-powered tutoring platform. 

The Customer Success Data Specialist is a problem-solver playing a crucial role in harnessing data insights to drive customer success. In this role, you will work with internal and external stakeholders—including K-12 districts - to source and analyze product usage patterns and to develop and implement recommendations that help customers adopt and successfully use the products. 

Base salary is $120K.

Essential Functions:

Data Mining, Analysis & Insight Generation:

• Collect, manipulate, and analyze raw datasets to uncover actionable insights for supporting the adoption and success of our product and customers.
• Use tools like Excel, SQL, Python, or BI platforms (e.g., Tableau, Power BI) to create reports, dashboards, and visualizations that clearly communicate key findings and actionable insights.

Customer Outreach and Support:

• Reach out to districts to gather - remotely or via site visits - detailed information for diagnosing data anomalies and challenges.
• Partner with Customer Success teams to ensure identified trends lead to targeted outreach and support.

Cross-Functional Collaboration:

• Collaborate closely with internal stakeholders to develop customer and product strategies and playbooks based on the insights you uncover.
• Monitor, interpret, and report on data over time to diagnose progress, challenges and continued opportunities for refinement and improvement.

Qualifications:

• Proficiency in basic Python for data analysis and scripting (not at an engineering level).
• Solid understanding of statistics with the ability to apply statistical methods to data analysis (intermediate level).
• Strong attention to detail. Highly motivated to proactively uncover and escalate product and data issues.
• 3-5 years of experience in similar roles
• Ideally some background in Edtech, teaching or K-5 education and familiarity with SaaS implementation.