Manager, Analytics – Paid Media Insights & Business Intelligence Leader

About arenaflex

At arenaflex, we believe in the power of data to transform businesses and create meaningful connections with customers. As a global leader in innovation and technology, we're constantly pushing boundaries to deliver exceptional experiences across digital platforms. Our analytics and insights team plays a critical role in driving strategic decisions that impact millions of users worldwide. We're currently seeking a talented and driven Analytics Manager to join our dynamic paid media team and help shape the future of our global marketing efforts.

This is an exceptional opportunity for a data-driven professional who thrives in fast-paced environments and is passionate about turning complex datasets into actionable business insights. You'll be working at the intersection of marketing strategy and data science, collaborating with cross-functional teams to optimize our paid media investments and drive measurable business results.

Position Overview

We are looking for an information-driven, conscientious Examination Chief to support our paid media investigation capability and surface data-driven strategic opportunities for the Chief Initiative team. In this role, you will focus on the optimization and streamlining of our paid media spend worldwide. You'll work closely with marketing teams to identify ways to improve the efficiencies of our paid media investments, develop comprehensive reporting and analyses to frame and drive decisions, and establish KPIs and scorecards to track progress and performance.

As a key contributor to our analytics function, you will play a pivotal role in supporting strategic decision-making by creating and communicating custom reporting and analyses that directly inform our paid media strategy. This is a high-impact position where your insights will directly influence multi-million dollar marketing decisions and help shape the direction of our global advertising efforts.

Key Responsibilities

• Deliver Reporting and Insights: Create and communicate comprehensive reporting and insights in the space of paid media, ensuring stakeholders have access to timely and accurate data that drives informed decision-making.


• Lead Analysis Development: Plan and build/lead the development of analysis, business intelligence, and data science predictions with the goal of enhancing discernible paid media and improving marketing efficiencies across all channels.


• Collaborate with Data Science Teams: Work with paid media data science groups and marketing teams on implementing sophisticated media mix models that optimize our advertising spend allocation.


• Conduct Ad-Hoc Investigations: Perform special investigation through database querying, followed by rapid interpretation of results and the reporting and communication of recommendations that drive immediate action.


• Cross-Functional Partnership: Function as a trusted partner with marketing, finance, and data product teams to tackle complex business challenges and track marketing and product performance with a data-driven approach.


• Technical Reporting: Leverage Structured Query Language (SQL), MicroStrategy, Tableau, QuickSight, Excel, and other reporting tools to create and maintain scheduled and ad-hoc reports that meet evolving business needs.


• Identify Business Issues: Analyze data to identify business issues and conduct deep dives to perform root cause analysis, uncovering the "why" behind performance trends.


• Data Utilization: Collaborate with stakeholders to leverage data from internal sources (Discernible and arenaflex systems) as well as external data from market research and marketing agencies to address complex business challenges by delivering meaningful insights.


• Generate Consumer Insights: Conceptualize and run analysis that generates insights on customer behavior and customer needs to help further develop and improve our offerings.

Essential Qualifications

• Industry Experience: Demonstrated experience in the field of Business Intelligence, Analysis, or Consulting in an e-commerce environment or related field is essential for success in this role.


• Advanced SQL Skills: Strong proficiency in SQL is required to effectively query and manipulate large datasets for analysis.


• Visualization Expertise: Advanced experience with at least one industry analysis and statistics visualization tool such as Tableau, QuickSight, or PowerBI.


• Excel Mastery: Expert-level proficiency in Microsoft Excel with a proven track record of creating complex models and analyses.


• Educational Background: Bachelor's degree in data science, business, economics, information technology, statistics, mathematics, or another related field.

Preferred Qualifications

• Team Collaboration: You enjoy working in a team of highly engaged individuals and thrive in collaborative environments where diverse perspectives are valued.


• Passion for Analytics: You have a genuine passion for numbers, data, and statistics, coupled with a commitment to delivering high-quality analysis that makes a real business impact.


• Action-Oriented Mindset: Strong inclination for action, highly organized, and the ability to complete responsibilities and tasks with minimal guidance and tight deadlines.


• Exceptional Communication: Outstanding verbal and written communication skills with the ability to effectively communicate with both business leadership and technical teams.


• Industry Background: Experience with subscription, membership-based, or media content organizations is preferred.


• Innovative Mindset: Experience with and/or interest in learning more on cutting-edge data science approaches.


• Programming Knowledge: Working knowledge of Python is highly desirable.


• Additional Technical Skills: Familiarity with other programming languages such as Java or C#, or statistical programming languages like R or SAS is a plus.


• Analytics Platforms: Knowledge of Adobe Analytics is advantageous.

Skills and Competencies Required

The ideal candidate will possess a unique blend of technical expertise and business acumen. You should be comfortable working with ambiguity and have the ability to scope complex problems, design meaningful questions, draw relevant data, and provide actionable insights. Strong critical thinking abilities are essential, as you will be expected to not just report numbers but to tell the story behind them.

You must be an autonomous, analytical self-starter who can work independently while also being a collaborative team player. The ability to translate complex technical findings into clear, business-friendly language is crucial for success in this role. You'll be working with stakeholders at all levels, from C-suite executives to technical data scientists, so adaptability and strong interpersonal skills are key.

Career Growth Opportunities

At arenaflex, we invest in our people and their professional development. This position offers exceptional opportunities for career growth within one of the world's most innovative companies. You'll have the chance to work on complex analytical challenges that will expand your skill set and expose you to cutting-edge data science methodologies.

As part of our analytics team, you'll gain invaluable experience in the e-commerce and digital marketing space, working with massive datasets and state-of-the-art tools. The cross-functional nature of this role means you'll develop a broad understanding of how different business units operate and how data drives strategic decisions across the organization.

There are clear pathways for advancement into senior analytical roles, people management positions, or specialized tracks in data science and business intelligence. Your contributions will directly impact business results, providing you with a strong foundation for future career opportunities within arenaflex and beyond.

Work Environment and Culture

arenaflex fosters a culture of innovation, collaboration, and intellectual curiosity. We believe that the best ideas can come from anywhere, and we encourage all team members to share their insights and challenge conventional thinking. Our work environment is dynamic and fast-paced, perfect for those who thrive on problem-solving and continuous learning.

We value diversity and inclusion, understanding that different perspectives make our team stronger. You'll join a community of talented professionals who are passionate about data and committed to excellence. Regular knowledge-sharing sessions, team-building activities, and mentorship opportunities ensure that you're constantly growing both professionally and personally.

Compensation and Benefits

We recognize that our employees are our most valuable asset, and we offer competitive compensation packages that reflect the importance of the work we do. The starting salary for this position is $27 per hour, with opportunities for overtime and performance-based bonuses.

Our comprehensive benefits package includes:

• Health, dental, and vision insurance coverage


• 401(k) retirement plan with company matching


• Paid time off and holidays


• Professional development opportunities and tuition reimbursement


• Employee assistance programs


• Access to cutting-edge tools and technologies


• Flexible work arrangements where applicable

Join Our Team

If you're ready to make an impact with your analytical skills and join a team that's transforming the digital landscape, we want to hear from you. This is a fantastic opportunity to grow your career with a company that values innovation, data-driven decision-making, and employee development.

At arenaflex, you'll find more than just a job – you'll find a place where you can grow, innovate, and be part of something truly meaningful. Apply today and take the first step toward an exciting career with endless possibilities.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Ready to make an impact? We encourage you to apply and join our team of talented professionals who are shaping the future of data-driven marketing.