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Business Operations Specialist

Job in Englewood Cliffs, Bergen County, New Jersey, 07632, USA
Listing for: Staffmark Group
Full Time, Part Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location: Englewood Cliffs

Staffmark Workforce Solutions offers this exciting contract opportunity at a global leader in electronics, mobile devices, and appliances, located inEnglewood Cliffs, NJ.

Business Operations Specialist

Top Skills:

  • SQL
  • Tableau
  • Python
  • Summary:

    The main function of a business operations specialist is to maintain vendor relationships, acting as a business analyst for non-IT projects or filling organizational roles above an administrative level, but below a management level. Other responsibilities may include maintaining all project management processes, including project goals, deadlines, metrics, and budget. The business operations specialist usually reports to a project manager or director.

    Responsibilities:

    • Responsible for mining, developing, and distributing data insights that will drive learnings and growth for the e-Commerce Operations Team.
    • Work closely with the Business Intelligence team to ensure data integrity, responsible for analyzing dashboards across Fulfillment, Returns, Operations, and NPS.
    • Develop customized Tableau dashboards as needed by Fulfillment Operations.
    • Identify Key Performance Indicators (KPIs), develop a holistic measurement plan, and conduct historical benchmarking.
    • Analyze and develop insights for channel-specific operations data using multiple data sources, including Vertica, Tableau, Kibana, the ecommerce business platform, and other tools.
    • Responsible for various testing disciplines, including multivariate, A/B, and user testing to validate hypotheses with data-driven answers.
    • Utilize advanced knowledge of developing data-driven insights to identify business growth opportunities.
    • Provide data-driven thought leadership to help the business identify areas to improve in terms of forward and reverse operations. Leverage predictive modeling techniques in the process.
    • Continually evolve analytics processes and tools; incorporate new sources of data to improve our understanding of our digital business and operations.
    • Prepare reports and support stakeholders with deriving insights for WBRs (weekly business reviews).
    • Proactively work with business units and teams to understand and translate data-driven initiatives and potential ideas. Synthesize ideas and suggestions from stakeholders and users to determine what to build based on business priorities, strategy, and vision.

    Requirements:

    • MBA or Master's in Analytics, Statistics, or other quantitative field
    • 5+ years of experience with statistical analysis and predictive modeling using tools such as R, STATA, SAS, Python, etc.
    • Bachelor's degree in Engineering, Computer Science, Business, or a related field
    • 3+ years of hands-on experience in Data Analytics, specifically in Operations
    • 3+ years of experience in data manipulation using SQL
    • 3+ experience with design, execution, and measurement of A/B and multivariate tests
    • Experience in an e-commerce and/or Digital Commerce environment
    • Fluent in building reports and visualizations using Tableau (or similar BI tools)
    • Strong problem-solving ability
    • Excellent communication and data presentation skills

    Preferred Skills:

    • Succinct/proactive/confident communication, data-driven insights (translating data into "business speak") to all levels of the business stakeholders, from operational to executive
    • Experience working with cross-functional teams to develop products and services
    • Ability to build interdepartmental relationships
    • Desire to make a difference, engage customers, shape a strategy, and build the right solution
    • Exceptional critical reasoning, creative thinking, and problem-solving skills.
    • Familiarity with the identification and resolution of issues, working with disparate sources of data and data quality issues
    • Ability to dig into the fine details of projects, but also articulate strategy and vision
    • Familiarity with current data analytics technology and tools, and more importantly, you understand the point of it all - to produce solid insights to drive business decisions
    • High level of intellectual curiosity, boldness, and honesty, and comfort level with ambiguity
    • Ability to understand what we are building and why, i.e., you don't take requests and issues at face value and know how to truly get to the core of the…
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