Sales Data Analyst

LaundryLux

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profile Job Location:

West Nyack, NY - USA

profile Yearly Salary: USD 110000 - 125000
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

Join LaundryLux

Laundrylux is the North American supplier of Electrolux Professional & Wascomat equipment for Laundromats Coin Laundries & On-Premises Laundries. From financing to repairs Laundrylux provides a comprehensive set of services to help with all elements of commercial laundry.

**SPONSORSHIP IS NOT AVAILABLE FOR THIS ROLE

**LOCAL CANDIDATES ONLY

SALES DATA ANALYST

What we are looking for: We are seeking a Data Analyst focused to support strategic decision-making across our commercial laundry operations. This role will drive profitability by analyzing equipment sales and optimizing pricing models and delivering actionable insights.

The ideal candidate will have a deep understanding of cost of goods and profit margin analysis and be highly proficient in Power BI and Excel to develop dashboards margin reports and forecasting tools.

Before we continue to dive into the requirements for the role lets talk about Why you should join LaundryLux

Career Advancement: We offer a career not just a job. We invest in the personal and professional growth of every employee because we believe growth leads to both business impact and personal fulfillment.

Learning and Development: We foster a culture that encourages and promotes professional growth and development with continuous learning

Diversity Initiatives: We are proud to have launched the Womens Initiative focused on building a better workplace for women providing support and recognizing the talented women within our company.

LaundryLux Benefits: We offer a comprehensive benefits package including:
  • Health benefits package including medical dental & vision plans

  • Life Insurance

  • 401(k) with company matching

  • Paid Time Off

  • Paid Holidays

  • Profit Sharing

  • Employee Referral Program

  • Mentorship Program

  • Company Sponsored Training

  • Tuition Reimbursement

Back to the role:

What you will do:
  • Build and maintain pricing models for laundry equipment sales to optimize profitability by customer type and different product offerings.

  • Conduct margin and cost analysis across all business units identifying opportunities for efficiency and pricing improvement.

  • Develop interactive Power BI dashboards tracking metrics such as average sale price market floor pricing and target pricing.

  • Use Excel and Power BI to perform scenario modeling on pricing changes equipment upgrades and new service offerings.

  • Analyze data from quoting and ERP systems to uncover profitability and product-line contribution margins.

  • Collaborate with the Sales and Operations teams to evaluate pricing and profitability and discount structures.

  • Support leadership with data-driven pricing recommendations that improve competitiveness while protecting margins.

  • Identify trends in win rates based on pricing to improve win rates and increase sales.

  • Prepare monthly and quarterly reports summarizing key pricing KPIs and cost trends.

  • Support automation and integration of reporting processes across systems and departments.

What you should have:

  • Background in financial planning and analysis.

  • Advanced Power BI expertise DAX Power Query relational data modeling KPI visualization and scheduled reporting.

  • Expert Excel proficiency including advanced formulas PivotTables macros and Power Query.

  • Strong understanding of cost structures

  • Ability to merge and analyze large datasets from POS ERP and CRM systems.

  • Experience with SQL or Python for advanced analytics (preferred).

  • Strong presentation and storytelling skills able to turn data into strategic recommendations for executives and field teams.

  • Strong collaboration skills able to bridge technical analysis with on-the-ground operational realities.

  • A proactive resourceful mindset with a passion for optimizing profitability and efficiency through data.

Education and Experience:

  • Bachelors degree in data science Finance Economics Mathematics or a related field (Masters preferred).

  • 3 years of analytical experience in industrial services or manufacturing industries.

  • Familiarity with pricing elasticity and competitive benchmarking within B2C service environments preferred.

Our Values:

People Share Responsibility Integrity Excellence Customer Focused Meaningfulness and Fun

If you are looking for your next challenge then this is your chance to join our team of exceptionally talented creative and innovative professionals. We want you!

We are an equal opportunity employer and we are committed to providing reasonable accommodations to individuals with disabilities in all aspects of the employment process. All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable laws regulations and ordinances.

Our company participates in E-Verify.

Join LaundryLuxLaundrylux is the North American supplier of Electrolux Professional & Wascomat equipment for Laundromats Coin Laundries & On-Premises Laundries. From financing to repairs Laundrylux provides a comprehensive set of services to help with all elements of commercial laundry.**SPONSORSHIP...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

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LaundryLux is the North American supplier of Electrolux & Wascomat commercial laundry equipment for self-service Laundromats and On-Premises Laundries such as hotels hospitals nursing homes salons firehouses vets and more.Let our familys history shape your future success. What began w ... View more

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