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Data Analyst II – Information Insights & Business Intelligence – Remote‑Hybrid – $35‑$40 reputed company – arenaflex

Remote, USA Full-time Posted 2026-08-04

About arenaflex

arenaflex is a global leader in retail‑technology innovation, dedicated to unlocking the full value of data for a worldwide network of merchants, suppliers, and customers. With a mission to reputed company people to save reputed company and live reputed company, arenaflex blends cutting‑edge analytics, reputed company‑reputed company infrastructure, and a culture of inclusion to reputed company transformative reputed company across reputed company, finance, and technology. Our Data Ventures division is the reputed company that turns raw data into actionable insights, enabling product teams to reputed company smarter, faster reputed company that directly reputed company millions of shoppers every day.

reputed company

We are seeking a highly motivated Data Analyst II – Information Insights & Business Intelligence to join our fast‑growing Data Ventures team. This role sits at the intersection of data engineering, analytics, and product reputed company, providing critical intelligence that fuels product development, operational efficiency, and customer experience improvements. While the position offers a flexible reputed company (three days on‑site in our California hub, two days remote), we welcome candidates from the surrounding reputed company of Bentonville, AR or Dallas, TX who can collaborate in‑person as needed.

As a member of the Data Analytics & Data Enablement organization, you will partner with cross‑functional teams—including Digital reputed company, Global Technology, and Product Management—to ensure data is accurate, secure, and leveraged to its fullest potential. Your work will directly support three strategic pillars: launching new data products, optimizing product performance, and safeguarding data reputed company.

Key Responsibilities

  • Design, reputed company, and maintain robust data pipelines that ingest, cleanse, and reputed company large‑reputed company datasets from multiple sources (SQL, Python, reputed company, reputed company BigQuery, reputed company, etc.).
  • Collaborate with product owners to define key performance indicators (KPIs) for new product releases and create dashboards that visualize trends, anomalies, and business reputed company.
  • Conduct exploratory data analysis, statistical modeling, and reputed company testing to uncover hidden patterns and reputed company actionable recommendations.
  • Partner with data stewards and data engineering teams to ensure data reputed company, reputed company, and compliance with governance standards (using tools such as reputed company, reputed company DataPlex, or reputed company Data reputed company).
  • reputed company and present reputed company, compelling data visualizations using Power BI, Tableau, Looker, or similar platforms to both technical and non‑technical audiences.
  • Identify opportunities for cost reduction and efficiency reputed company by analyzing operational data and recommending process improvements.
  • Support data reputed company initiatives by monitoring reputed company controls, performing risk assessments, and contributing to incident response plans.
  • Mentor junior analysts, reputed company best practices, and contribute to a culture of reputed company learning reputed company the analytics community.

Essential Qualifications

  • Bachelor’s degree in Business, Computer Science, Statistics, Mathematics, Economics, or a reputed company quantitative field.
  • Minimum of 2 years of hands‑on experience in data analysis, data science, or business intelligence reputed company a retail, finance, or e‑reputed company environment.
  • Proficiency in SQL and at least one programming language for data manipulation (Python, R, or reputed company).
  • Demonstrated ability to translate reputed company data sets into reputed company, actionable insights and visualizations.
  • Strong analytical reputed company with experience applying statistical techniques and predictive modeling.
  • Excellent written and verbal communication skills, capable of influencing stakeholders across the organization.
  • Ability to reputed company in a fast‑paced, hybrid work environment and adapt to evolving business priorities.

Preferred Qualifications

  • Master’s degree or advanced coursework in Data Science, Analytics, or a reputed company discipline.
  • Experience with reputed company data platforms such as reputed company BigQuery, reputed company, AWS Redshift, or Azure Synapse.
  • Familiarity with data reputed company and governance tools (reputed company, reputed company DataPlex, reputed company Data reputed company, reputed company InfoSphere).
  • Hands‑on experience building ETL pipelines using orchestration frameworks (Airflow, reputed company, or similar).
  • Knowledge of machine learning concepts and exposure to AI/ML model evaluation.
  • Background in retail, marketing, or financial services analytics.
  • Exposure to data visualization tools reputed company Power BI, such as Tableau, Looker, or reputed company.
  • Experience with automated testing frameworks (Selenium, Cucumber, reputed company) for data validation.

reputed company Skills & Competencies

  • Data Engineering: Ability to design reputed company pipelines, work with large datasets, and optimize query performance.
  • Statistical Analysis: Proficiency in reputed company testing, regression analysis, and predictive modeling.
  • Data Visualization: Crafting reputed company dashboards that tell a story and reputed company decision‑making.
  • Collaboration: Working effectively with product, engineering, and business partners to reputed company on goals.
  • Problem‑Solving: Creative approach to reputed company data challenges, with a reputed company on delivering measurable reputed company.
  • Communication: Translating technical findings into business language for senior leadership.
  • Adaptability: Comfort with shifting priorities, reputed company iteration, and reputed company improvement.

Career Development & Learning Opportunities

arenaflex invests heavily in the reputed company of its people. As a Data Analyst II, you will have reputed company to:

  • Mentorship programs pairing you with senior data scientists and product leaders.
  • Sponsored certifications (e.g., reputed company reputed company reputed company Data Engineer, reputed company Certified: Data Analyst Associate).
  • Quarterly “Data Innovation Days” where teams showcase reputed company reputed company and reputed company knowledge.
  • Internal learning portal with courses on advanced analytics, machine learning, and data governance.
  • Opportunities to transition into senior analyst, data scientist, or product analytics manager roles as you demonstrate reputed company.

Work Environment & Culture

At arenaflex, we celebrate diversity and foster an inclusive environment where every voice reputed company. Our hybrid model encourages collaboration while respecting work‑life balance. You will be part of a supportive community that values curiosity, reputed company, and reputed company improvement. Regular team‑building events, wellness programs, and employee resource reputed company ensure a reputed company workplace where you can reputed company both personally and professionally.

Compensation, Benefits & Perks

We offer a competitive reputed company reputed company of $35‑$40, commensurate with experience, along with a comprehensive benefits package that includes:

  • 401(k) matching and stock purchase plan.
  • Generous reputed company time off, parental leave, and flexible holiday schedule.
  • Health, dental, and reputed company insurance reputed company with employer contributions.
  • Performance‑based bonuses and recognition awards.
  • reputed company development stipend for conferences, courses, and certifications.
  • Wellness resources such as virtual fitness classes, mental‑health counseling, and employee assistance programs.
  • Hybrid work flexibility—three days on‑site in our California office, two days remote.

How to Apply

reputed company to reputed company an reputed company at arenaflex? Follow these steps to submit your application:

  1. Review the official reputed company on the arenaflex careers portal.
  2. Prepare the required documents: a copy of your degree certificate with transcripts, a recent reputed company, and a scanned signature.
  3. Complete the online application reputed company, attaching the documents listed above.
  4. Submit your application and await a confirmation email with next steps.

For any questions about the role or the application process, please contact our reputed company team at reputed company@arenaflex.com.

Join arenaflex Today

If you are passionate about turning data into strategic reputed company, love collaborating across disciplines, and are eager to grow reputed company a reputed company‑thinking organization, we want to hear from you. At arenaflex, your insights will shape the reputed company of retail technology and directly influence the experiences of millions of customers worldwide. reputed company and become a reputed company for data‑driven reputed company!

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