Senior Advanced Analytics Specialist – Remote Data Science, Business Intelligence & Predictive Modeling (Work‑From‑Home)

About arenaflex – Pioneering Data‑Driven Innovation

arenaflex is a leading force in the wireless and telecommunications sector, renowned for turning massive streams of data into strategic advantage. Our mission is to empower every decision with insight, from network optimization to customer experience. As a forward‑thinking organization, we invest heavily in cutting‑edge analytics, machine learning, and visualization technologies, fostering a culture where curiosity meets impact. Whether you’re joining from a bustling city or a quiet home office, you’ll be part of a collaborative community that values creativity, rigor, and continuous learning.

Role Overview

We are seeking a highly skilled Senior Advanced Analytics Specialist to join arenaflex’s remote analytics team. In this role, you will lead the end‑to‑end lifecycle of data‑driven projects, transforming raw, multi‑source datasets into actionable business insights. You will work closely with product managers, marketing strategists, finance leaders, and engineering partners to uncover causal relationships, forecast key business drivers, and design predictive models that shape the future of our services.

Key Responsibilities

• Analyze large, complex data sets to identify trends, causal relationships, and opportunities for optimization across churn, segmentation, pricing, and sales forecasting.
• Design, develop, and maintain interactive dashboards and visual analytics solutions using PowerBI, Tableau, and custom web‑based tools.
• Build, validate, and deploy predictive models—including regression, classification, random forest, clustering, time‑series, and geospatial analytics—leveraging R, Python, and Alteryx.
• Lead data‑wrangling initiatives: extract, clean, merge, and enrich data from SQL Server, billing systems, usage logs, demographic sources, and GIS datasets.
• Conduct rigorous statistical testing (ANOVA, F‑Test, T‑Test, cross‑validation) and experimental design (A/B testing, multivariate testing) to evaluate product changes and marketing campaigns.
• Collaborate with cross‑functional teams to translate business questions into analytical solutions, documenting requirements, methodology, and outcomes.
• Automate ETL pipelines using Python, Alteryx, and Microsoft SQL Server Integration Services (SSIS) to ensure repeatable, scalable data processes.
• Mentor junior analysts and contribute to the development of best‑practice analytics standards, code reviews, and knowledge‑sharing sessions.
• Assess emerging data sources and novel analytical techniques, recommending adoption strategies that enhance predictive accuracy and operational efficiency.
• Present findings to senior leadership through clear storytelling, visualizations, and executive‑level briefings that drive data‑informed decision making.

Essential Qualifications

• Education: Master’s degree (or foreign equivalent) in Analytics, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• Experience: Minimum 2 years of professional experience applying statistical techniques and machine‑learning algorithms to solve real‑world business problems.
• Technical Proficiency: Advanced expertise in SQL (Microsoft SQL Server), R, Python (pandas, NumPy, scikit‑learn, Matplotlib), SAS, MATLAB, and data‑visualization tools (PowerBI, Tableau, Alteryx).
• Statistical & Machine‑Learning Skills: Hands‑on experience with regression, clustering, classification, random forests, sentiment analysis, A/B testing, optimization, factor analysis, time‑series forecasting, dimensionality reduction, variable selection, ANOVA, F‑Test, T‑Test, cross‑validation, and experimental design.
• Data Engineering Ability: Proven ability to design and automate ETL workflows, manage large relational databases, and integrate geospatial data using tools such as Alteryx and FME.
• Communication: Strong written and verbal communication skills, with a track record of translating complex analytical results into clear, actionable business recommendations.
• Certifications: Possession of Statistical Business Analysis and Advanced Programming certificates (or equivalent professional credentials) is required.

Preferred Qualifications & Additional Strengths

• Ph.D. or additional graduate coursework in a quantitative field.
• Experience within the wireless, telecommunications, or related technology industries.
• Familiarity with cloud‑based data platforms (AWS, Azure, GCP) and big‑data technologies (Spark, Hadoop).
• Knowledge of financial modeling, pricing strategy, and revenue optimization techniques.
• Demonstrated ability to lead cross‑functional projects from concept through delivery.
• Proficiency in additional programming languages (e.g., Java, Scala) or statistical packages (e.g., Stata, SPSS).
• Experience presenting to C‑suite executives and influencing strategic direction.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
• Business Acumen: Understanding of how analytics impacts revenue, cost, customer satisfaction, and market positioning.
• Collaboration: Comfortable working in a remote, distributed team environment, leveraging digital collaboration tools (Slack, Teams, Confluence).
• Adaptability: Thrive in a fast‑changing environment, quickly learning new tools, techniques, and industry trends.
• Detail Orientation: Commitment to data quality, reproducibility, and rigorous documentation.
• Storytelling: Craft compelling narratives that turn numbers into strategic insights.

Tools & Technologies You’ll Use

• SQL Server, Azure Data Studio, SSMS
• R (tidyverse, caret, forecast)
• Python (pandas, NumPy, scikit‑learn, matplotlib, seaborn)
• SAS, MATLAB
• Alteryx Designer & Server
• PowerBI, Tableau, Looker
• FME for geospatial data processing
• Git, GitHub, or Azure DevOps for version control
• Jupyter Notebooks, RStudio, VS Code

Career Growth & Learning Opportunities

At arenaflex, your professional development is a priority. You will have access to:

• Mentorship from senior data scientists and industry veterans.
• Annual learning stipend for conferences, certifications, or advanced coursework.
• Internal “Analytics Academy” – a series of workshops on deep learning, advanced visualization, and emerging AI techniques.
• Opportunities to lead high‑visibility projects that directly influence corporate strategy.
• Clear promotion pathways from Senior Analyst to Lead Data Scientist, Analytics Manager, and Director of Business Intelligence.

Work Environment & Culture at arenaflex

Our remote‑first philosophy means you can work from anywhere in the United States while staying fully integrated with the team. arenaflex fosters an inclusive, collaborative culture where diverse perspectives are celebrated. Regular virtual coffee chats, quarterly in‑person meet‑ups, and a robust internal community platform keep connections strong. We champion work‑life balance, offering flexible hours, generous paid time off, and a supportive environment for personal well‑being.

Compensation, Perks & Benefits

arenaflex offers a competitive total rewards package that includes:

• Base salary aligned with senior‑level market benchmarks.
• Performance‑based annual bonus tied to measurable analytics impact.
• Comprehensive health, dental, and vision coverage.
• 401(k) plan with company match.
• Remote work allowance (home office equipment, high‑speed internet stipend).
• Paid parental leave, wellness programs, and employee assistance services.
• Professional development budget and tuition reimbursement.
• Access to cutting‑edge data platforms and cloud resources for experimentation.

Why Join arenaflex?

If you are passionate about turning raw data into strategic advantage, love solving ambiguous business problems, and thrive in a remote, high‑impact environment, arenaflex is the place to accelerate your career. You will be at the heart of a data‑centric organization, influencing decisions that shape the future of telecommunications for millions of customers.

Ready to Make an Impact?

Take the next step in your analytics journey. Submit your application today and discover how your expertise can drive meaningful change at arenaflex.

Apply Now!