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Business Analyst

Job in Sacramento, Sacramento County, California, 95828, USA
Listing for: SGS Consulting
Full Time position
Listed on 2026-10-18
Job specializations:
  • Business
    Ecommerce, Business Analyst, Sales Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 90000 USD Yearly USD 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Job Responsibilities
  • Deliver store in-stock metrics by influencing the order process, including order creation, reviewing daily orders, maintaining perfect POs, and optimizing fill rates.
  • Drive execution of Direct Import business out of Asia in partnership with the Customer Service team in Hong Kong.
  • Participate in sales trend analysis to improve weekly item-level POS projections, aligning these plans with internal stakeholders and retail partners.
  • Drive weekly shipping plans by item and channel to support POS plans and future order needs.
  • Attend internal consensus meetings to present POS demand forecasts and share data findings with cross-functional S&OP teams to finalize monthly consensus forecasts.
  • Collaborate with sales team in key forecasting meetings with Buyers and Replenishment Managers, providing business insights and recommending seasonal action plans.
Skills
  • Strong analytical skills with the ability to synthesize diverse information and recommend corrective actions.
  • Solid interpersonal and communication skills, with the ability to engage at all organizational levels.
  • Strong business judgment for interpreting issues and recommending actions that align with group, division, and corporate goals.
  • Process-oriented mindset to identify and address process improvements.
  • Proficient in MS Office, particularly Excel (Power User), and experience with tools like PowerBI, Alteryx, and Big Query.
Education/Experience
  • Bachelor’s degree or equivalent experience.
  • At least 2+ years of relevant experience in sales analysis or merchandise buying/planning, preferably in a highly seasonal environment.
  • Experience with direct replenishment planning and long lead times.
  • Experience in CPG or retail.
  • Familiarity with statistical forecasting techniques, systems applications, and model building.
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