Description

Granite Background & History

Granite is one of the premier communications services’ providers to businesses across the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,300 employees and is headquartered in Quincy, MA just off I-93 and directly next to the North Quincy T Station on the Red Line. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

o Granite has been recognized by the Boston Business Journal as one of the “Healthiest Companies” in Massachusetts for the past 14 consecutive years

o Our Quincy office has an onsite dining facility and a fully equipped state of the art gym that offers daily Cross Fit, Mixed Martial Arts, and Yoga classes available to employees at zero cost

o Granite’s philanthropy is unparalleled with over $200 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer’s Association to name a few

o We have been consistently rated a “Fastest Growing Company” by Inc. Magazine.

o Granite was named to Forbes List of America's Best Employers 2022

o Granite was recently named One of Forbes Best Employers for Diversity

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

General Summary of Position:

We are seeking a Mobility Analytics specialist to join our team. As Mobility Analytics Associate, you will be responsible using advanced SQL skills and data modeling techniques to assist in the operations of the mobility product division. You will play a crucial role in improving our mobility services, identifying cost-saving opportunities, and enhancing the overall customer experience.

Duties and Responsibilities:

Data Analysis and Optimization:

• Utilize advanced SQL skills to extract, transform, and analyze large datasets related to wireless product including cost, revenue, and data usage.
• Develop and implement data models to identify trends, patterns, and insights for optimizing internal mobility services and external/ customer plan management.
• Identify opportunities for cost reduction, efficiency improvement, and data optimization through data-driven analysis.
• Collaborate with cross-functional teams, including finance, marketing, and product development, to develop new wireless plans and pricing strategies.

Reporting and Presentation:

• Generate comprehensive reports and dashboards to communicate key findings, metrics, and recommendations to stakeholders and senior management.
• Present analytical insights and recommendations in a clear and concise manner, tailored to various audiences within the organization.
• Stay up-to-date with industry trends, emerging technologies, and best practices related to mobility analytics.

Team Leadership and Collaboration:

• Manage a team of mobility analysts, providing guidance, mentorship, and performance feedback.
• Foster a collaborative and inclusive work environment, promoting knowledge sharing and continuous learning within the team.
• Collaborate with cross-functional teams to align mobility analytics initiatives with broader organizational goals.

Required Qualifications:

• Bachelor's degree in a relevant field (such as Computer Science, Data Science, Statistics, or a related discipline). Advanced degree preferred.
• Extensive experience (5+ years) analytics, data analysis, or a similar role.
• Strong proficiency in SQL, with the ability to write complex queries and perform advanced data manipulations.
• Solid understanding of data modeling techniques and best practices.
• Knowledge of wireless plans, telecommunications industry, and data optimization techniques.
• Proven experience in extracting insights from large datasets and presenting findings to diverse stakeholders.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical audiences.
• Ability to lead and manage a team effectively, fostering a collaborative and results-oriented work environment.
• Detail-oriented mindset with strong organizational and project management skills