Sales Data Analyst @Lakeshore Learning Materials, LLC
Data and Analytics
Salary usd 22.35 - 24...
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted YDay

[Hiring] Sales Data Analyst @Lakeshore Learning Materials, LLC

YDay - Lakeshore Learning Materials, LLC is hiring a remote Sales Data Analyst. 💸 Salary: usd 22.35 - 24.03 per hour 📍Location: USA

Role 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.

Qualifications

  • 2+ years of experience in sales analysis, business analysis, data analysis, or a closely related field.
  • High proficiency in Excel, including Power Query, and experience working with a CRM such as Salesforce.
  • Hands-on experience with a business intelligence tool such as Power BI or a comparable platform.
  • Demonstrated ability to audit, validate, and maintain data accuracy across reporting workflows.
  • This is a fully remote role; reliable home office setup and self-directed work habits required.

Requirements

  • Experience supporting sales operations or working alongside sales and marketing teams.
  • Familiarity with data lake environments or enterprise data extraction processes.
  • Exposure to documenting reporting processes or supporting tool migrations.

Benefits

  • At Lakeshore, we pay local market wages for employees that reside within Los Angeles and Orange Counties.
  • For this position, new employees joining Lakeshore who live within Los Angeles and Orange Counties are typically brought into the organization at a hourly rate between $22.35-$24.03 depending on relevant experience & skillset.
  • This range is indicative of projected hiring range. The annual base compensation will take into account each candidate's relevant experience, location, and skillset.
  • Bonus eligible.
  • Paid leave for new parents to support work/life balance and family bonding.
  • Excellent medical/dental and vision coverage—EPO, PPO and HSA.
  • 401(k) retirement plan with company contribution (because you will retire someday).
  • Flexible benefits—choose what you like, ignore the rest.
  • On-site preschool for our employees’ children.
  • On-site employee gym for all levels/fitness needs.
  • Generous employee discount.
  • Casual dress…and we really mean it.
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Sales Data Analyst @Lakeshore Learning Materials, LLC
Data and Analytics
Salary usd 22.35 - 24...
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted YDay
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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