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Business Insight Specialist

Job in Bedminster, Somerset County, New Jersey, 07921, USA
Listing for: SDG Group USA
Full Time position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location: Bedminster

The Business Insights team transforms data into actionable insights through advanced analytics and modeling. We design custom solutions to solve business challenges, optimize operations, and support decision-making across diverse industries.

Our expertise in key business challenges and analytical methodologies enables us to deliver solutions that drive measurable impact for our clients.

About the Role

As a Business Data Scientist, you will develop advanced analytical solutions tailored to the specific industries. You will address a variety of business problems such as pricing strategies, product recommendation engines, demand forecasting, and segmentation methodologies, driving data-driven decision-making and measurable performance improvement.

Key Responsibilities
  • Partner with business stakeholders to understand key challenges and translate them into actionable analytical approaches.
  • Design and implement data-driven solutions to support strategic decision-making and business growth.
  • Develop and deliver clear, compelling insight reports and presentations tailored to business audiences.
  • Lead project teams, ensuring insights are effectively translated into business value.
  • Manage multiple projects simultaneously, balancing stakeholder expectations, timelines, and resource allocation.
  • Support commercial activities by contributing to project proposals, defining scopes, objectives, and deliverables.
  • Mentor and guide junior team members, fostering their ability to generate impactful business insights.
Skills & Qualifications
  • Strong analytical skills with a problem-solving mindset.
  • 5+ years of proven experience developing industry use cases (CPG & Retail ideally).
  • Solid background in advanced analytics, including predictive modeling, econometrics, time-series analysis, and causal inference.
  • Proficiency with analytical tools such as Python, R, SQL, and relevant BI platforms.
  • Experience with optimization techniques and experiment design (A/B testing) is a strong plus.
  • Excellent storytelling skills, with the ability to translate complex analyses into clear, actionable business recommendations.
  • Strong stakeholder management and ability to collaborate with business teams at various levels.
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