Business Operations Specialist

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

• SQL
• Tableau
• Python

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.

• 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 and analyze 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, leveraging predictive modeling techniques.
• Continually evolve analytics processes and tools; incorporate new data sources to improve understanding of 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, synthesizing suggestions from stakeholders and users to determine what to build based on business priorities, strategy, and vision.

• 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+ years of 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.

• Succinct/proactive/confident communication, data‑driven insights (translating data into “business speak”) to all levels of 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 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 data sources and data quality issues.
• Ability to dig into fine details of projects while articulating strategy and vision.
• Familiarity with current data analytics technology and tools, and an understanding of the point of it all – producing solid insights to drive business decisions.
• High level of intellectual curiosity, boldness, and honesty, and comfort with ambiguity.
• Ability to understand our building objectives and why, avoiding taking requests and issues at face value, and truly solving problems beyond merely providing data.
• Self‑starter mentality with ability to deliver results under…