Senior Advanced Analytics Professional – Data Science, Machine Learning & Business Intelligence (Remote/Hybrid Position)

Remote Full-time
About arenaflex

Welcome to arenaflex, where data meets innovation and every insight has the power to transform businesses. We are a forward-thinking organization committed to leveraging advanced analytics to drive strategic decision-making and deliver exceptional results in today's rapidly evolving digital landscape. As a leader in our industry, we recognize that data is the cornerstone of modern business evolution, and we are seeking a talented Senior Advanced Analytics Professional to join our dynamic team.

At arenaflex, we believe that great analytics goes beyond just crunching numbersβ€”it's about telling compelling stories with data, uncovering hidden opportunities, and empowering organizations to make smarter, faster decisions. Our team is composed of passionate data scientists, analysts, and business experts who collaborate seamlessly to solve complex challenges and deliver actionable intelligence that shapes the future of our industry.

This is an exciting opportunity to work with massive datasets, cutting-edge tools, and innovative methodologies while contributing to projects that have real-world impact. Whether you're analyzing customer behavior, optimizing business processes, or developing predictive models, your work at arenaflex will directly influence strategic outcomes and drive measurable business value.

Position Overview

We are currently seeking a highly skilled and motivated Senior Advanced Analytics Professional to join our team in Dallas, TX, with flexibility for remote work arrangements and various unanticipated locations throughout the United States. In this pivotal role, you will be responsible for analyzing large and complex datasets, identifying causal relationships, explaining emerging trends, and predicting future outcomes of key business drivers.

You will play a critical role in project site selection, optimization, and rationalization efforts, including comprehensive churn analysis, customer behavior modeling, segmentation strategies, and sales analysis with forecasting capabilities. The ideal candidate will thrive in a fast-paced environment, possess exceptional analytical capabilities, and demonstrate a passion for transforming data into strategic insights.

Key Responsibilities


Data Analysis & Insight Generation: Analyze large datasets to identify causal relationships, explain trends, and predict future outcomes of key business drivers. Utilize statistical techniques and machine learning algorithms to extract meaningful insights that inform strategic decision-making.

Business Analytics Development: Work on comprehensive business analytics projects including problem question identification, data sourcing and wrangling, query development, data exploration, augmentation, and data visualization. Distill complex results into actionable insights that drive business growth.

Database Management & Query Development: Leverage SQL Server, Alteryx, and other advanced tools to access, query, clean, and merge multiple large datasets including billing information, usage patterns, geospatial data, and demographic information for both regular and ad hoc analyses.

Statistical Modeling & Machine Learning: Apply statistical techniques and machine learning algorithms including regression analysis, cluster analysis, classification, random forest models, sentiment analysis, A/B testing, optimization algorithms, factor analysis, time series analysis, dimension reduction, and variable selection. Utilize additional analytical methods such as ANOVA, F-Test, T-test, Cross-Validation, and experiment design.

Predictive Model Development: Create and deploy predictive models including geographic location-based models and relevant tools for wrangling geospatial data using Alteryx and FME. Develop models that forecast future trends and behaviors.

Programming & Automation: Utilize programming languages including R and Python with add-on packages such as pandas, NumPy, Matplotlib, and scikit-learn. Automate data extract, transform, and load (ETL) processes to improve efficiency and accuracy.

Dashboard Design & Visualization: Design, maintain, and update interactive online dashboards using tools including PowerBI, Alteryx, and Tableau. Create compelling data visualizations that communicate complex findings to stakeholders at all levels.

End-to-End Analysis: Conduct comprehensive end-to-end analyses including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations to senior leadership.

Business Intelligence & Financial Modeling: Work on advanced data analytics, marketing analytics, statistics, business intelligence, pricing strategies, and financial modeling within the telecommunications and wireless industry context.

Team Insight & Performance Reporting: Provide insight on data and research activities including team productivity metrics, sales performance indicators, and economic impact assessments.

Data Source Evaluation: Assess the effectiveness and accuracy of new data sources and data gathering techniques to ensure data quality and reliability.


Essential Qualifications


Master's degree in Analytics, Computer Science, or a related field (or foreign equivalent degree)
Minimum of 2 years of professional experience in the job offered or a related occupation
Proven experience utilizing statistical techniques and machine learning algorithms including:

Regression analysis (linear, logistic, polynomial)
Cluster analysis and classification techniques
Random forest models
Sentiment analysis
A/B testing and optimization methodologies
Factor analysis and time series analysis
Dimension reduction and variable selection
Statistical tests including ANOVA, F-Test, T-test, Cross-Validation
Experimental design


Strong proficiency in data discovery and visualization using tools including SQL, R, Python, SAS, MATLAB, pandas, NumPy, scikit-learn, PowerBI, Alteryx, and Tableau
Experience designing, maintaining, and updating interactive online dashboards
Advanced programming skills in R/Python with add-on packages including pandas, NumPy, Matplotlib, and scikit-learn
Experience with automated ETL processes
Proven track record conducting end-to-end analyses from requirements gathering through presentation
Ability to provide insights on data and research activities including team productivity, sales performance, and economic impact
Experience assessing effectiveness and accuracy of new data sources and data gathering techniques
Strong working knowledge of Microsoft SQL server query platforms
Statistical Business Analysis certification
Advanced Programming certification


Preferred Qualifications


PhD in Analytics, Computer Science, Statistics, or related field
Experience in the wireless and telecommunications industry
Knowledge of geospatial data analysis and mapping tools
Experience with cloud-based analytics platforms
Strong presentation and communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Experience with agile methodologies and collaborative team environments
Publications or presentations at industry conferences


Skills & Competencies Required for Success


Analytical Thinking: Strong ability to analyze complex datasets, identify patterns, and draw meaningful conclusions that drive business decisions.
Technical Proficiency: Expert-level skills in SQL, R, Python, and visualization tools with the ability to quickly learn new technologies and methodologies.
Statistical Expertise: Deep understanding of statistical concepts, hypothesis testing, and quantitative analysis methods.
Machine Learning Knowledge: Familiarity with a wide range of machine learning algorithms and their appropriate applications.
Data Visualization: Ability to create clear, compelling visualizations that communicate insights effectively to diverse audiences.
Business Acumen: Understanding of business operations, financial metrics, and strategic planning processes.
Communication Skills: Excellent written and verbal communication skills with the ability to present findings confidently to senior leadership.
Project Management: Strong organizational skills with the ability to manage multiple projects and meet tight deadlines.
Problem-Solving: Creative approach to tackling complex business challenges with innovative analytical solutions.
Collaboration: Ability to work effectively in cross-functional teams and build strong relationships with stakeholders.


Career Growth & Learning Opportunities

At arenaflex, we are deeply committed to the professional development and career growth of our team members. As a Senior Advanced Analytics Professional, you will have access to numerous opportunities for advancement and skill development:


Leadership Pathways: Demonstrate your expertise and leadership capabilities to progress into senior leadership roles within the analytics organization.
Specialization Opportunities: Focus on areas of particular interest such as machine learning, geospatial analytics, or business intelligence development.
Continuous Learning: Access to cutting-edge training programs, certifications, and conference opportunities to stay current with industry trends and emerging technologies.
Mentorship Programs: Pair with experienced mentors who can guide your career development and help you achieve your professional goals.
Cross-Functional Exposure: Opportunity to work across different business units and gain diverse experience in various aspects of the organization.
Industry Recognition: Platform to showcase your expertise through publications, presentations, and thought leadership opportunities.


Work Environment & Company Culture

arenaflex fosters a collaborative, innovative, and inclusive work environment where every team member is valued and empowered to contribute their best work. Our culture is built on principles of integrity, excellence, and continuous improvement. We believe that diverse perspectives drive innovation, and we are committed to creating an environment where all employees can thrive.

As part of our team, you will enjoy:


Flexible work arrangements including remote and hybrid options
State-of-the-art tools and technologies to support your work
Collaborative team spaces and modern office facilities
Work-life balance initiatives and generous time-off policies
Team-building activities and company events
Access to wellness programs and employee assistance resources
Inclusive culture that celebrates diversity and promotes belonging


Compensation & Benefits

arenaflex offers a competitive compensation package that recognizes your skills, experience, and contributions. Our comprehensive benefits package includes:


Competitive salary with performance-based bonus opportunities
Health, dental, and vision insurance coverage
401(k) retirement plan with company matching
Paid time off and holidays
Professional development reimbursement
Relocation assistance (if applicable)
Technology stipend for home office setup
Various employee perks and discounts


Join Our Team

Are you ready to take your analytics career to the next level? Do you thrive on solving complex problems and transforming data into actionable insights? If you have a passion for data science and want to make a meaningful impact at a forward-thinking organization, we want to hear from you!

At arenaflex, you will be part of a team that values innovation, collaboration, and excellence. You will have the opportunity to work on challenging projects, develop new skills, and advance your career in a supportive and dynamic environment. We are looking for a dedicated professional who shares our commitment to data-driven excellence and is eager to contribute to our continued success.

Apply now to join the arenaflex team and become part of an organization that is shaping the future through the power of advanced analytics. Your next career-defining opportunity awaits!





Apply Now

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