Full-Time Senior Data Analyst

Join the Team Reinventing the Brick & Mortar Shopping Experience at IOB

Imagine working at a company where you experience the best of both worlds: the fast-paced execution of a startup paired with the guidance of leaders who have built successful scalable solutions. Led by veteran innovator Hannes van Rensburg, we are not just rethinking the evolution of physical retail—we are redefining it.

At The Internet of Behaviors Company (IOB), we envision a future where physical shopping becomes an enjoyable social and retail experience once again. Customers will receive curated offerings, guaranteed selections, and delightful interactions. Our goal is to connect physical storefronts with customers in a way that rivals the convenience of online shopping. We’re looking for great teammates to help us shape the future of connected retail, and we invite you to join us.

We believe that physical retail is NOT dead; rather, it has yet to evolve alongside today’s modern customers. Many shoppers are migrating to online platforms because physical retail has fallen short in convenience, selection, pricing, and enjoyment. Shopping used to be a pleasurable pastime, and IOB is committed to bringing back that enjoyment. We need your expertise to make it happen.

You will be part of a skilled team that is fundamentally reshaping physical retail, which still accounts for 80% of the overall industry. Together, we will invent a new standard for customer experience, personalized service, and ultimately, a delightful way to shop.

You will work alongside some of the brightest minds in technology, develop cutting-edge software and hardware solutions, and be empowered to tackle challenging problems that will stretch your skills and enhance your thinking.

If you’re ready to join us in building the future of connected retail, we want to hear from you.

About the Team & Role

At IOB, our mission is supported by a data ecosystem that drives informed decision-making and innovation. The Data Team is a critical part of this mission, enabling advanced analytics, machine learning, and actionable insights to shape business strategy and outcomes.

This team – comprising data engineers, data scientists, and data analysts – works collaboratively to transform raw data into impactful solutions, ensuring scalability, reliability, and actionable insights.

As a Senior Data Analyst, you will play a key role in rapidly uncovering actionable insights and supporting data-driven decision-making across the organization. You will take accountability for leading data analytics projects whilst guiding and leading junior team members and stakeholders along the way.

This hands-on position involves collecting, processing, and analyzing complex data to identify trends and patterns that inform business strategies and product features.

You will collaborate with data engineers and data scientists to ensure data accessibility and quality and work on projects that impact critical business outcomes.

You will also communicate with non-technical stakeholders to understand business requirements and use compelling storytelling to derive actionable insights through data.

Key Responsibilities

• Gather and integrate data from multiple sources and ensure it is clean, accurate, and reliable for analysis.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
• Create and maintain clear, effective reports and dashboards to communicate insights to cross-functional stakeholders at various seniority levels.
• Collaborate with data engineers to understand the data architecture and ensure seamless data access, quality, and transformation pipelines.
• Collaborate with data scientists to interpret model results and inform business decisions.
• Translate complex data findings into actionable business insights and recommendations for various stakeholders.
• Provide ad-hoc data analysis support for specific business queries or one-off projects.
• Understand business processes and shape how data analysis contributes to strategy and operations.
• Lead the process of understanding business requirements and translate these into technical deliverables.
• Develop and enforce internal data analytics standards and best practices.
• Serve as a technical leader, coach, and mentor for junior team members and adjacent data and engineering teams.
• Lead end-to-end data analytics projects that support strategic goals. This includes requirements gathering, technical deliverable planning, output quality control, and stakeholder management.
• Contribute to the development of the IOB data strategy.

Requirements

• A Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.
• Advanced degrees are a plus.
• 5+ years (preferred 8+ years) of proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL for data extraction and manipulation.
• Strong proficiency with data wrangling and cleaning techniques.
• Strong proficiency with data visualization tools such as Tableau, Power BI, or similar.
• Exposure to managing enterprise deployments of data visualization platforms (e.g., Power BI enterprise).
• Knowledge of statistical analysis techniques and tools (e.g., Python, R, Excel).
• Ability to interpret complex datasets and communicate insights in a clear and concise manner to various audiences of varying seniority.
• Experience leading and mentoring junior data analysts and other team members
• Experience contributing to and shaping internal data analytics standards and best practices.
• Strong written and verbal communication skills, with the ability to present data findings to non-technical audiences.
• Strong problem-solving and critical thinking skills and the ability to work with cross-functional teams to deliver results.
• An innovative, collaborative mindset with excellent communication skills to work across teams.

Bonus Points & Other Considerations

• Experience working in the retail or consumer analytics industry
• Experience with advanced analytics techniques like machine learning algorithms or predictive modeling
• Proficiency in Python or R for data analysis
• Experience with cloud-based data storage and processing platforms (e.g., AWS, Azure, GCP)
• Familiarity with big data technologies such as Hadoop, Spark, or similar
• Relevant certifications in data analytics or data science (e.g., Google Data Analytics Certificate, Microsoft Certified Data Analyst Associate)

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