Job Description
At arenaflex, we believe that excellent data and insights are at the heart of every good business decision. As a Manager of Customer Data Analytics, you will lead our organization towards data-driven decision-making that drives business success. In this role, you will lead a team of data professionals in producing digital insights for key audiences, creating meaningful data visualizations, and developing data-driven strategies.
- *About arenaflex**
arenaflex is a leading global logistics and transportation company that is committed to delivering exceptional customer experiences. With a strong focus on innovation and technology, we are constantly looking for ways to improve our services and stay ahead of the competition. Our customer services division is a critical part of our business, and we are seeking a talented Manager of Customer Data Analytics to lead our efforts in developing and executing a world-class digital analytics strategy.
- *Key Responsibilities**
As a Manager of Customer Data Analytics, you will be responsible for leading a team of data professionals in producing digital insights for key audiences, creating meaningful data visualizations, and developing data-driven strategies. Your key responsibilities will include:
- Developing and executing a world-class digital analytics strategy, and executing against it
- Managing and mentoring a team of digital data professionals, fostering a culture of thought leadership and actionable insights
- Leading the team in the collection, analysis, and visualization of digital data from multiple sources
- Developing actionable insights and recommendations to improve the effectiveness and revenue of digital products
- Collaborating with cross-functional teams to stakeholders have critical data streams
- Creating and maintaining best-in-class balanced dashboards and reports, ensuring accuracy and relevance
- Conducting statistical and quantitative analysis, including predictive modeling to drive decision making
- Communicating findings and recommendations to stakeholders through clear and compelling presentations and reports
- Staying updated on the latest analytics tools, trends, and technologies and pushing to continuously improve processes
- Exploring machine learning models to solve critical business problems and optimize processes
- Performing other duties as assigned
- *Knowledge, Skills, and Abilities**
To be successful in this role, you will need to possess the following knowledge, skills, and abilities:
- Proven leadership skills
- Proficiency in analytics tools like SQL, Adobe Analytics, Power BI, Python, Databricks, and Amplitude
- Advanced quantitative and statistical skills
- Superior problem-solving skills as well as the ability to act on ideas autonomously
- Excellent communication and leadership skills, with the ability to influence and engage stakeholders at all levels
- Prior experience leading an insights and analytics team
- Experience with machine learning and AI tools
- Advanced modeling skills
- Experience automating manual data processes
- Strong organization and documentation skills
- Growth and innovation focused for continuous improvement
- *Minimum Education and Experience**
To be considered for this role, you will need to possess a Bachelor's Degree/equivalent in business, finance, statistics, engineering or related quantitative discipline. You will also need to have at least five (5) years of experience in business analysis, financial analysis, computer modeling or simulation and professional planning. More advanced degrees may offset experience requirements, with a related Master's Degree equaling two (2) years of experience.
- *Preferred Qualifications**
We are looking for a candidate who is passionate about data-driven decision making and has a strong track record of leading teams to deliver exceptional results. If you have experience with fourth generation languages (4GL), client/server and browser-based reporting and analytics tools, strong knowledge of systems and operations, and strong basic management, human relations and communications skills, we encourage you to apply.
- *Work Environment and Company Culture**
As a Manager of Customer Data Analytics at arenaflex, you will be part of a dynamic and innovative team that is committed to delivering exceptional customer experiences. You will have the opportunity to work with a talented team of data professionals, collaborate with cross-functional teams, and contribute to the development of a world-class digital analytics strategy. Our company culture is built on a foundation of innovation, collaboration, and customer-centricity, and we are committed to providing a work environment that is inclusive, diverse, and supportive.
- *Compensation and Benefits**
arenaflex offers a competitive compensation package, including a salary range of $9,208.38/month - $16,575.08/month, depending on experience. We also offer a range of benefits, including health, vision, and dental insurance, retirement, and tuition reimbursement. In addition, we offer a flexible work environment, with the opportunity to work from home or at one of our FedEx Campus locations.
- *How to Apply**
If you are a motivated and talented individual who is passionate about data-driven decision making, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you!
- *Equal Opportunity Employer**
arenaflex is an Equal Opportunity Employer, committed to diversity and inclusion in the workplace. We welcome applications from qualified candidates of all backgrounds and perspectives. If you require reasonable accommodations in the application or hiring process, please contact us at [insert contact email].
- *E-Verify Program Participant**
arenaflex participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (for U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
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