EdTech Jobs
🇺🇸Remote - Carson, CA$55K–$75K/yri1h ago
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Role Snapshot

Sales Data Analyst on the Sales Operations team at Lakeshore Learning Materials, responsible for producing accurate, trustworthy sales reporting and insights that sales and cross-functional teams use for daily decisions.

Key Responsibilities: Build, maintain, and distribute sales reports, dashboards, and ad hoc analyses; extract and transform data from Salesforce, data lake, and warehouse systems; run data audits and validation checks; partner with business teams to troubleshoot data issues; and document reporting processes.
Skills & Tools: Strong data extraction, transformation, and validation skills across Salesforce, data warehouse, and BI platforms, with attention to accuracy and the ability to communicate findings clearly to non-technical stakeholders. Collaboration and a drive to improve data processes are also expected.
Qualifications: Experience in sales analytics, reporting, or business intelligence is typically expected, along with proficiency in CRM and BI tools. The exact degree requirement is not specified in the description.
Location: Remote - Carson, CA
Compensation: $55K–$75K/yr (estimated)

Job Description

Lakeshore Learning helps educators and families find tools that make learning meaningful, and great decisions at Lakeshore start with great data.  

As a Sales Data Analyst on our Sales Operations team, you'll turn raw data into clear, reliable reporting that our sales and cross-functional teams use every day to make smarter decisions. This is a role for someone who finds real satisfaction in getting the numbers right and telling a clean, honest story with data. 

A day on the job looks like this: 

  • Build, maintain, and distribute sales reports, dashboards, and ad hoc analyses that track pipeline activity, customer trends, and sales performance. 
  • Extract and transform data from Salesforce, Data lake and warehouse systems, and business intelligence platforms to support accurate, consistent reporting across the organization. 
  • Run routine data audits and validation checks to catch gaps, flag inconsistencies, and keep reporting outputs trustworthy. 
  • Partner with Retail, Sales, Marketing, Finance, Bid, IT, and other teams to understand reporting needs, troubleshoot data issues, and deliver timely insights. 
  • Document reporting processes, support tool maintenance, and continuously look for ways to improve how we build and share data. 

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