Category Insights Analyst

ADP, Inc.

Warminster Township (Bucks County)

On-site

USD 65,000 - 90,000

Full time

8 days ago
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Benefits offered by this job

Health Reimbursement Account
401(k) Plan with company match
Generous Paid Time Off
Employee Assistance Program
Tuition Reimbursement
Training and Development
Short / Long Term Disability
Life Insurance
KASHABLE loan program
Free garden vegetables from our farm (

Job summary

Burpee is seeking a Category Insights Analyst to become the go-to expert for customer analysis and selling stories. You will translate category trends and POS data into actionable tactics that drive sales and profitability, collaborating with cross-functional partners.

You will build dashboards for U.S. Retail, eCommerce, and Canada, develop semantic models in Power BI with a Data Engineer, and perform profitability-based sell-through analyses.

Qualifications

  • Bachelor's degree in Business, Analytics, Data Science, or related field.
  • 3+ years of experience in retail sales or business analytics.
  • Advanced Power BI and dashboard development skills.
  • Strong data analysis skills including SKU, assortment, and profitability analysis.
  • Experience with retailer/vendor data platforms (Scintilla, Nielsen, Circana/IRI, etc.).
  • Strong communication and cross-functional collaboration skills.

Responsibilities

  • Generate content from data analytics to support customer line review presentations.
  • Ingest Weekly Vendor Portal Data for auditing; segment tracking.
  • Provide sales team with ad hoc analytical support.
  • Create dashboards to analyze business units - U.S. Retail Sales, eCommerce, Canada.
  • Build Semantic Models in Power BI collaborating with Data Engineer to produce DataMart where necessary.
  • Optimal sell-through analytics by customer based on profitability.
  • Data reporting - analyze retail sales, cross functional support, and translate it into actionable insights to drive sales.
  • Category Performance - category metric reporting (category, segment, brand performance, and indexing).
  • Retailer Insights - retailer objectives, trends, and category contribution.
  • Build strong relationship with retail customer leaders.
  • Use Scintilla to drive sales through store and item-level analysis, identify market innovations, monitor nil picks, and build competitive tracking tools for the sales team.

Skills

Power BI
Data analysis
Retail analytics
Collaboration
Dashboard development
SQL

Education

Bachelor's degree in Business, Analytics, Data Science, or related field

Tools

Scintilla
Nielsen
Circana/IRI

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Category Insights Analyst

We're the nationwide leader in home gardening and have been inspiring gardeners for over 150 years. As a privately owned seed, plant, and garden goods company, we reach millions of gardeners each year across retail, direct-to-consumer, and e-commerce channels. At Burpee, we're driven by quality, innovation, and a deep passion for helping people grow successfully at home. Our brand is one of the most recognized and trusted names in gardening, built on generations of expertise and a commitment to excellence. This is your chance to join a company with a rich legacy, a loyal customer base, and a team that takes pride in helping gardens, and careers, grow.

Job Description:

The Category Insights Analyst will be the go-to-category expert for developing insightful and actionable customer analysis and selling story presentations. To be successful in this role, one must demonstrate the ability to cut through data to identify what information is most important to the business, so the conclusions are effectively and persuasively communicated. They Category Business Analyst will collaborate closely with cross-functional partners to analyze industry insights, category trends, and customer point-of-sale (POS) data, translating these findings into actionable tactics to drive sales and profitability. Additionally, they will conduct in-depth customer sales analysis, providing actionable recommendations to fuel sales growth in key areas.

Location:

  • Generate content from data analytics to support customer line review presentations.
  • Ingest Weekly Vendor Portal Data for auditing; segment tracking.
  • Provide sales team with ad hoc analytical support.
  • Create dashboards to analyze business units - U.S. Retail Sales, eCommerce, Canada.
  • Build Semantic Models in Power BI collaborating with Data Engineer to produce DataMart where necessary.
  • Optimal sell-through analytics by customer based on profitability.
  • Data reporting - analyze retail sales, cross functional support, and translate it into actionable insights to drive sales.
  • Category Performance - category metric reporting (category, segment, brand performance, and indexing).
  • Retailer Insights - retailer objectives, trends, and category contribution.
  • Build strong relationship with retail customer leaders.
  • Use Scintilla to drive sales through store and item-level analysis, identify market innovations, monitor nil picks, and build competitive tracking tools for the sales team.
  • Bachelor's degree in Business, Analytics, Data Science, or related field
  • 3+ years of experience in retail sales or business analytics
  • Advanced Power BI and dashboard development skills
  • Strong data analysis skills including SKU, assortment, and profitability analysis
  • Experience with retailer/vendor data platforms (Scintilla, Nielsen, Circana/IRI, etc.)
  • Strong communication and cross-functional collaboration skills
  • Health Reimbursement Account
  • 401(k) Plan with company match
  • Generous Paid Time Off
  • Employee Assistance Program
  • Tuition Reimbursement
  • Training and Development
  • Short / Long Term Disability
  • Life Insurance
  • KASHABLE loan program
  • Free garden vegetables from our farm from June to September!

Why Join us?

  • Drive retail growth through data-driven insights and analytics
  • Partner with sales teams and retail customers to influence strategy
  • Build expertise with Power BI, Scintilla, and leading retail analytics tools
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