Senior Wholesale Business Analysis Manager
Frontier Communications
- Location
- United States; Dallas,TX,United States
- Work model
- On-Site
- Level
- Senior
- Salary
- $110k – $150k/yr
- Posted
- 8d ago
Skills
About this role
Verizon recently acquired Frontier and plans to transition non-union Frontier employees into Verizon compensation and benefits programs. This position will be part of that planned transition.
Senior Wholesale Business Analysis Manager As the largest pure-play fiber provider in the U.S., we deliver blazing-fast broadband connectivity that unlocks the potential of millions of consumers and businesses. As a Frontier employee, you will be part of our purpose of Building Gigabit America—creating the digital infrastructure that the country needs to thrive today and into the next century. Join us!
What we're seeking: As the Senior Manager of Business Analysis, you will play a pivotal role in shaping our data-driven culture. This position involves not only managing and interpreting large sets of data but also applying advanced analytical methods, including statistical analysis and regression models, to uncover trends and insights. Your work will directly influence strategic decision-making and operational efficiency across the organization. The role demands a balance of technical data science skills, business acumen, and the ability to communicate complex analytical concepts in an accessible manner to stakeholders at all levels. In this remote role, you will be expected to collaborate with peers as required but can work anywhere in the contiguous United States.
What you'll do
Lead comprehensive data analysis projects, employing techniques such as regression analysis, predictive modeling, and other statistical methods to identify trends, correlations, and causal relationships Design and conduct complex data studies and experiments, interpreting results to provide actionable insights and recommendations to executive leadership Ensure the effective utilization of PowerBI for advanced data analytics, including the integration of statistical tools and methodologies Develop and refine metrics and KPIs that align with business objectives, using advanced data analysis to validate and adjust these metrics as needed Facilitate the extraction and manipulation of large and complex datasets, ensuring the accuracy and reliability of data sources Collaborate with IT and data engineering teams to enhance data collection procedures and improve the quality of analytics Champion a data-driven culture within the organization, providing training and guidance on data analysis and interpretation to team members and other departments Stay abreast of industry trends in data analytics and business intelligence, continuously exploring new tools, techniques, and best practices to enhance our analytical capabilities
What we offer: Nothing is more important to our success than the team that built it. That's why we provide benefits to keep you and your family well. Some of which we're most proud to offer includes:
Salary Range: $110,000 - $150,000 20 PTO (Paid Time Off) days + 10 paid holidays per year Day one medical, dental, vision and prescription drug plan 401k match of 50% on 6% of eligible compensation Tuition Assistance Program Personal & Work Life Balance Resources & Wellness Support Assistance Employee Resource Groups 10 weeks of paid parental leave, & a phased return to work program for new parents Up to $10k in adoption program assistance 3 weeks of paid caregiver leave
What background you should have
Bachelor's degree in Data Science, Applied Analytics, Advanced Physics, STEM or Business related Major, or equivalent experience required 3+ years of experience in hands-on data analytics, including model building and statistical analysis 3+ years of experience in automating reporting and analysis through various BI tools like Power BI and/or Tableau and Power Automate 3+ years of experience using Excel and SQL at an advanced level Experience with transforming and cleaning data with R or Python preferred Experience with MS SQL Server, stored