Experienced Lead Data Analyst, Customer Experience (Remote) – Driving Business Growth through Data-Driven Insights
At arenaflex, we're committed to protecting people, enhancing lives, and preserving the planet. As a member of the global leader in Pest Control and other services across more than 90 countries, we pride ourselves on being a trusted partner to many of the world's leading brands. Our mission is to deliver exceptional customer experiences, and we're seeking an experienced Lead Data Analyst to join our team.
About arenaflex
arenaflex is a world-class organization that rewards high performance and promotes from within. We offer competitive pay, performance incentives, and a Total Rewards Program that includes professional and personal growth opportunities, training and development programs, tuition reimbursement benefits, health and wellness programs, and more. Our company mindset prioritizes health, safety, and flexibility, making us an attractive choice for individuals who want to make a difference where our customers live and work.
Job Summary
We're looking for a seasoned Lead Data Analyst to lead the development and maintenance of solutions related to end-to-end customer experience data. As a key member of our team, you'll be responsible for analytical reporting, business trends and correlations, predictive modeling, and prioritization and optimization of business initiatives. Your expertise will help us improve efficiency and quality of the customer experience, driving business growth through data-driven insights.
Key Performance Indicators
* Quality measure of data science solutions
- Accuracy measure of predictions
- Average time from requirements to recommendations
- Measure of insights generated per month
- Efficiency gained or business value created through recommendations derived from data science analysis/modelling
Principal Duties and Responsibilities
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
- Lead Data Mining and Collection Procedures: Develop and maintain governance with data architecture and business intelligence teams to ensure data quality and integrity.
- Interpret and Analyze Data Problems: Translate data problems into meaningful information and visualizations to executive leadership, market leaders, and other department heads.
- Conceive of, Develop, Plan, and Prioritize Data Projects: Partner with Cx leadership to build analytic systems and predictive models to support ongoing and future data needs.
- Test and Evaluate Performance of Recommended Solutions: Quantify outcomes and manage tuning cycle for ongoing improvement to systems and models.
- Experiment with New Models and Techniques: Ensure our solutions grow with us by experimenting with new models and techniques.
- Align All Data Projects with Organization Goals: Build relationships with managers and leaders to size analytical opportunities and create delivery plans to ensure we are positioned to support quality business cases and deliver ROI.
- Facilitate Analytical Conversations: Explore data from a modeling perspective, and perform initial exploratory data analysis to assess business value.
- Ensure Model Implementations Conform to Regulatory Requirements: Produce clear documentation to support model implementations.
- Manage Analytical Projects and Coordinate Activities: Prioritize relevant activities and provide subject matter expertise to manage analytical projects and coordinate activities with other shared service partners.
Required Experience
* Seven (7) years of relevant experience in data science or related analytical field
- Advanced knowledge of statistical / data mining methods and application
- Advanced knowledge of statistical and analytical model development
- Advanced knowledge of data modeling techniques and tools (R, Python, SAS, etc.)
- Advanced knowledge of visualization tools (PowerBI, Tableau, Quik, etc.)
Required Leadership Traits and Characteristics
* Strong project management, collaboration, and communication skills
- Ability to apply logic and reasoning to identify/implement solutions to complex business problems
- Business and financial acumen
- Curiosity and drive to learn and keep up with market trends and innovations
- Ability to lead, mentor, and motivate a team, engage and influence stakeholders at all levels
- Ability to adapt and be flexible in a complex transformational environment
- Clearly and confidently convey information to a wide audience
- Open to alternative solutions; ability to use logic to evaluate and measure strength and weakness
- Establish and maintain a high level of trust and credibility
Formal Education, Qualifications, or Training
* Master's Degree in Computational Mathematics, Statistics, or related field
- Certified specialist in predictive analytics or other data science-related certifications
Why Choose arenaflex?
A career with arenaflex can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives. Our Total Rewards Program includes:
- Professional and Personal Growth
- Multiple avenues to grow your career
- Training and development programs available
- Tuition Reimbursement benefits (for FT Colleagues)
- Health and Wellness
- Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more
- Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1
- Savings and Retirement
- 401(k) retirement plan with company-matching contributions
- Work-Life Balance
- Vacation days & sick days
- Company-paid holidays & floating holidays
- A company mindset that prioritizes health, safety, and flexibility
How to Apply
If you're a motivated and experienced data analyst looking to drive business growth through data-driven insights, we encourage you to apply to this exciting opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! Apply To This Job Apply for this job