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Staff Data Analyst – Business Intelligence & Market Research Analytics – arenaflex Remote Data Processing Opportunities

Work from home Full-time role Hiring

Join arenaflex: Transform Data into Business Impact Are you ready to unlock the full potential of data and drive meaningful business decisions? At arenaflex, we exist to transform raw information into actionable insights that empower dealers, providers, and internal teams to make faster, smarter choices. We're looking for a talented Staff Data Analyst to join our Product Achievement team and help shape the future of data-driven decision-making. This is a career-defining opportunity for the right candidate—a chance to make a significant impact while growing your expertise in a dynamic, innovative environment. If you have a proven track record of providing analytical, data processing support using quantitative data, we want to hear from you! About arenaflex At arenaflex, we empower the connection between brands and customers at an extraordinary scale. As stewards of our brand promise, "Save Money, Live Better," we work alongside some of the most talented professionals in the world to engage with the hundreds of millions of families who shop with us every week. We believe all digital advertising across search, display, video, and experiential can be targeted, effective, and responsible—and we have arenaflex's retail sales data to prove it. Our team operates with the energy and agility of a startup while being embedded within a global enterprise. This unique combination offers the best of both worlds: the resources and stability of a Fortune 500 company with the flexibility and innovation of a fast-paced startup environment.

What You'll Do

As a Staff Data Analyst at arenaflex, you will play a crucial role in our data processing and analytics initiatives. Your responsibilities will span across multiple domains, ensuring that we deliver high-quality statistical research projects while maintaining our commitment to excellence. Core Responsibilities Collaborate with Product Success, Record Management, and Providers to ensure successful delivery of market research projects, meeting ISO and international data processing standards

  • Lead execution on everyday requests for data analysis and manipulation of primary and secondary data to support Provider and/or Internal requests
  • Evaluate requests for data services and thoroughly understand the requirements of market research projects
  • Prepare, plan, prioritize, and communicate effectively to ensure deliverables are ready and shipped on schedule
  • Verify datasets for logical consistency, reformatting, and upgrading datasets for downstream analysis
  • Manuever data toward the right arrangement for analysis purposes using Excel or SPSS, including weighting and processing as necessary
  • Be a proactive contributor who provides advice or suggestions for improvements and automation, where necessary, to enhance overall efficiency and delivery
  • Perform other ad hoc projects and tasks as assigned

Continuous Improvement & Knowledge Sharing

  • Develop and communicate best practices to partners across departments to continuously improve the quality, effectiveness, and efficiency of our product offerings and processes
  • Identify opportunities for process optimization and automation within existing workflows
  • Mentor junior team members and share expertise in data analysis methodologies
  • Stay current with industry trends and emerging technologies in data analytics

What We're Looking For

Essential Qualifications Education: Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field Experience: Demonstrated experience in data analysis, data processing, or statistical research Technical Proficiency: Strong hands-on experience with Excel (including advanced functions, pivot tables, and VBA) and/or SPSS for data manipulation, weighting, and statistical analysis Analytical Skills: Ability to evaluate data requests and understand requirements for market research projects Communication: Excellent written and verbal communication skills with the ability to convey complex analytical concepts to non-technical stakeholders Organization: Strong planning and prioritization skills with the ability to manage multiple projects simultaneously

Preferred Qualifications

  • Previous experience in retail, e-commerce, or consumer goods analytics
  • Familiarity with ISO and international data processing standards
  • Experience working with large-scale datasets and data warehousing
  • Knowledge of data visualization tools such as Tableau, Power BI, or simil

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