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're proud to serve consumer and business customers across multiple industries. Our legacy of excellence drives us to constantly innovate and improve our services, and we're now 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 benefits, savings and retirement plans, and work-life balance initiatives. Our company mindset prioritizes health, safety, and flexibility, making us an attractive employer for individuals who want to make a difference in the lives of our customers.
**Job Summary**
We're looking for a seasoned Lead Data Analyst to lead the development and maintenance of end-to-end customer experience data solutions. 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, and you'll work closely with data architecture teams to ensure data quality and governance across shared systems and applications.
**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 succeed in this role, you'll need to perform the following essential duties and responsibilities:
* Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams
* Ensure data quality and integrity
* Interpret and analyze data problems; translate into meaningful information and visualizations to executive leadership, market leaders, and other department heads
* Conceive of, develop, plan, and prioritize data projects in partnership with Cx leadership
* 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 to ensure our solutions grow with us
* 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 with the business around “the art of the possible using data science”, explore data from a modelling perspective, and perform initial exploratory data analysis to assess business value
* Ensure model implementations conform to regulatory requirements and produce clear documentation to support
* Manage analytical projects and coordinate activities with other shared service partners by prioritizing relevant activities and providing subject matter expertise
* Undertake personal development to ensure up-to-date skills and knowledge
**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 modelling techniques and tools; R, Python, SAS, etc.
* Advanced knowledge of visualization tools like 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
* Able 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 for a new challenge, we encourage you to apply to this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you!
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