Senior Data Analyst - Recommendation Systems, A/B Testing & Business Intelligence Expert

Join arenaflex as a Senior Data Analyst

Are you ready to shape the future of e-commerce through data-driven insights? arenaflex is seeking a passionate and results-oriented Senior Data Analyst to join our dynamic Query and Recommendations Analysis team. In this role, you will leverage arenaflex's vast datasets to influence and guide our cutting-edge recommendation systems that help millions of customers find exactly what they're looking for.

At arenaflex, we believe that great recommendations are at the heart of exceptional customer experiences. As part of our high-performing team, you will collaborate closely with talented engineers, machine learning engineers, data scientists, and product managers who are pushing the boundaries of what's possible in the product recommendation space. This is an opportunity to make a meaningful impact on a platform that serves millions of customers daily while working with cutting-edge technologies and methodologies.

About the Role

As a Senior Data Analyst at arenaflex, you will play a critical role in driving the evolution of our recommendation systems. You will be responsible for designing, running, and analyzing A/B tests of new recommendation algorithms and methodologies. Your work will directly influence how customers discover products on our platform, making this a highly visible and impactful position within the organization.

Your analytical expertise will be crucial in developing new testing and test analysis frameworks that set the standard for experimentation across the company. You will also be responsible for KPI reporting and monitoring, including building anomaly detection tools and implementing advanced measurement approaches that provide real-time insights into system performance.

What You'll Do

• Conduct Univariate Exploratory Data Analysis: Run comprehensive exploratory data analysis to identify novel ideas, uncover hidden patterns, and discover new opportunities for improving our recommendation systems. Your insights will directly inform product strategy and roadmap decisions.


• Design and Execute A/B Tests: Plan, implement, and analyze A/B tests of our latest recommendation algorithms. Develop robust testing methodologies that provide statistically significant results and drive actionable business decisions.


• Proactive Model Monitoring: Continuously monitor our recommendation models to identify potential issues before they impact customers. Investigate root causes of anomalies and implement effective solutions to maintain optimal system performance.


• Tool Development: Build new tools and automation capabilities that enable the team to work more efficiently and effectively. This includes developing QA tools to better understand the performance of new algorithms before deploying them to production A/B tests.


• Cross-Functional Collaboration: Work closely with product, engineering, and machine learning partners to establish strong working relationships. Collaborate on initiatives that bridge technical and business objectives.


• Executive Communication: Present key insights and strategic recommendations to cross-functional executive leaders across the organization. Translate complex technical findings into clear, actionable business recommendations.


• Data-Informed Decision Making: Utilize advanced statistical techniques to drive business decision-making and demonstrate the value of data-driven approaches across all levels of the organization.

What You'll Need

We are looking for candidates with a strong foundation in analytical roles within e-commerce or related industries. The ideal candidate will have demonstrated experience turning data into actionable insights that drive measurable business outcomes.

• Educational Background: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Advanced degrees are a plus but not required.


• SQL Expertise: In-depth experience with SQL, including complex queries, query optimization, stored procedures, string parsing, and familiarity with big data platforms such as Vertica, Hive, Voila, or Flash. This is a mandatory requirement.


• Python Proficiency: Extensive experience with Python and Python data science tools including Jupyter notebooks, pandas, scikit-learn, matplotlib, and related libraries. You should be comfortable writing efficient, production-ready code.


• Experimental Design: Experience with experimental design (A/B tests) and statistical analysis to drive business decision-making. Familiarity with statistical testing methodologies, confidence intervals, and causal inference is highly preferred.


• Machine Learning Knowledge: Understanding and experience applying machine learning algorithms and techniques such as decision trees, random forests, deep learning, and recommendation systems within a commercial setting is highly preferred.


• Communication Skills: Excellent written and verbal communication skills with the ability to present complex findings to both technical and non-technical audiences. You must be able to tell compelling stories with data.


• Collaborative Mindset: Strong ability to collaborate and proactively communicate with stakeholders across departments. Experience working in cross-functional teams is essential.


• Ownership and Results: Demonstrated history of taking ownership of projects and driving measurable results. You should thrive in a fast-paced, dynamic environment and be comfortable with ambiguity.


• Business Acumen: Strong business intuition combined with exceptional analytical abilities and problem-solving skills. You should be able to connect technical analysis to business outcomes.

Skills and Competencies

Beyond the technical requirements, we are looking for candidates who demonstrate the following competencies:

• Analytical Thinking: The ability to approach complex problems systematically, break them down into manageable components, and develop data-driven solutions.


• Continuous Learning: A growth mindset that embraces new technologies, methodologies, and approaches to stay at the forefront of the field.


• Initiative: The motivation to identify opportunities for improvement and drive initiatives forward without explicit direction.


• Adaptability: Comfortable working in a rapidly evolving environment where priorities may shift and new challenges emerge regularly.


• Attention to Detail: Meticulous approach to data analysis with a commitment to accuracy and quality in all deliverables.

Career Growth and Learning Opportunities

At arenaflex, we are committed to helping our employees grow and develop in their careers. As a Senior Data Analyst, you will have access to numerous opportunities for professional advancement:

• Leadership Development: Clear pathways to senior leadership roles within the analytics organization, with opportunities to mentor and guide junior team members.


• Technical Specialization: Options to specialize in areas such as machine learning, experimentation methodology, or business intelligence depending on your interests and career goals.


• Cross-Functional Exposure: Opportunities to work with different teams and business units, broadening your experience and understanding of the e-commerce industry.


• Learning Resources: Access to comprehensive training programs, conferences, and certifications to enhance your technical and professional skills.


• Innovation Time: Dedicated time to explore new ideas and innovative approaches that could benefit the organization.

Work Environment and Culture

arenaflex fosters a collaborative, inclusive, and innovative work environment where diverse perspectives are valued and celebrated. We believe that the best solutions come from teams that reflect the diversity of our customers and communities. Our culture emphasizes:

• Teamwork: Cross-functional collaboration is at the core of how we work. You will partner with talented individuals from various backgrounds and expertise areas.


• Innovation: We encourage creative thinking and experimentation. Failure is viewed as a learning opportunity, and we celebrate innovative approaches even when they don't yield expected results.


• Work-Life Balance: We offer flexible work arrangements, including remote work options, to help you maintain a healthy balance between professional and personal commitments.


• Inclusive Environment: arenaflex is fully committed to providing equal opportunities to all individuals, including people with disabilities. We provide reasonable accommodations to qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations.

Compensation and Benefits

We offer competitive compensation packages that recognize the skills and experience you bring to the role:

• Salary: $24 per hour for this full-time position, with opportunities for performance-based increases.


• Comprehensive Benefits: Full health, dental, and vision insurance coverage for you and your family.


• Retirement Plans: 401(k) retirement savings plan with company matching.


• Paid Time Off: Generous paid vacation, sick leave, and holidays.


• Professional Development: Annual learning and development budget to support your career growth.


• Employee Discounts: Access to exclusive discounts on arenaflex products and services.

Join Our Team

If you are passionate about data, excited about the opportunity to impact how millions of customers shop online, and ready to take your career to the next level, we want to hear from you. At arenaflex, you will work alongside some of the brightest minds in the industry, tackle challenging problems, and make a real difference in the lives of our customers.

Apply today to join our team and help shape the future of e-commerce through the power of data and analytics. We look forward to welcoming you to arenaflex!

Location: Boston, USA

Employment Type: Full Time

Work Hours: 8 Hours per day