Network Intelligence Senior Analyst

Job Summary:

As a Network Intelligence Analyst, you will partner with stakeholders across Technology to develop analytics, reporting, and predictive modeling solutions that support Midco's commitment to maintaining a best-in-class network. You will leverage data to identify opportunities, solve business challenges, improve network performance, and provide actionable insights that support operational and strategic decision-making. This position may be filled at the Network Intelligence Analyst or Senior Network Intelligence Analyst level based on the selected candidate's qualifications, experience, and demonstrated expertise.

Responsibilities:

• Deliver high-quality analytics, reporting, and guidance based on an in-depth understanding of Midco's network and its performance.
• Develop and maintain network reliability and performance reporting aligned with industry standards and technology trends.
• Analyze and report on Midco's Service Level Agreements (SLAs) with customers and third-party providers.
• Document assumptions, methodologies, and analytical findings while critically examining results and anticipating stakeholder questions or concerns.
• Engage with stakeholders to understand business goals, perspectives, and challenges to drive new analytics initiatives and solutions.
• Identify and integrate new datasets, models, tools, and technologies that enhance the capabilities of the Network Intelligence team.
• Continuously improve data collection, metrics, reporting, workflows, and business processes.
• Build, deploy, and maintain predictive models that proactively identify degraded network performance.
• Develop and support data models that identify, monitor, and trigger workflows to mitigate network impairments and congestion.
• Develop regression models and other analytical methods to identify relationships between operational data and network or product performance.
• Research, evaluate, and implement advanced statistical and analytical techniques to address business and technology challenges.
• Develop a deep understanding of Midco's business, network operations, products, and the factors that drive organizational success.
• Develop and deploy predictive tools, models, and insights that support informed business and operational decisions.
• Evaluate how recommendations and actions impact the team, company, network operations, and customers.
• Partner with Network Intelligence team members and Technology stakeholders to identify, develop, document, and improve analytical workflows and processes.
• Collaborate with analysts, engineers, developers, and business partners to identify new ways to leverage data and analytics.
• Build productive partnerships based on trust across all levels and functions of the organization.
• Communicate complex analytical findings in a clear, approachable, and impactful manner.
• Seek training, development, and learning opportunities to continuously expand analytical and technical capabilities.
• Model Midco’s mission, vision, values, ethos, and Leadership Success Drivers, and inspire others to do the same.
• Ensure customer privacy by adhering to Midco’s privacy guidelines while actively following Midco policies and procedures.
• Maintain reliable and predictable attendance as required by the position.
• Perform other duties as assigned.

Note: Management reserves the right to assign or reassign functions and responsibilities to this job description at any time.

Required Qualifications:

• Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Information Technology, Engineering, Physics, or a related field; equivalent combination of education and experience may be considered.
• Relevant analytics, business analysis, data science, network intelligence, or related experience ranging from 2 to 5+ years depending on position level.
• Experience working with large datasets, complex systems, and statistical analysis techniques.
• Experience using Python, R, SQL, or other data-focused programming languages.
• Experience working with relational databases and data management tools.
• Experience building, deploying, and maintaining predictive machine learning models.
• Strong analytical, problem-solving, and critical thinking skills.
• Ability to effectively communicate analytical findings to both technical and non-technical audiences.

Preferred Qualifications:

• Master's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, Physics, or a related field.
• Experience with Tableau, Power BI, or equivalent business intelligence and visualization platforms.
• Experience reporting on, analyzing, or supporting HFC, FTTP, telecommunications, or network performance data.
• Experience leading analytics projects, initiatives, or cross-functional data efforts.
• Advanced experience with predictive analytics, forecasting, machine learning, or statistical modeling techniques.

Position Levels and Requirements:

• Network Intelligence Analyst
• 2 years of experience in analytics, business analysis, data science, network intelligence, or a related field.
• Sr. Network Intelligence Analyst
• 5 years of experience in analytics, data science, network intelligence, telecommunications analytics, or a related field.
• Leadership experience leading analytics projects and strategic initiatives.
• Advanced proficiency with data mining, statistical analysis, predictive modeling, Python, R, SQL, and business intelligence tools such as Tableau or Power BI.
• Additional Responsibilities:
• Lead complex analytics initiatives and advanced modeling efforts.
• Partner with leadership to develop analytics strategies and priorities.
• Identify operational risks and provide strategic recommendations.
• Serve as a technical resource for advanced analytics and network intelligence solutions.
• Guide analytical methodologies, best practices, and continuous improvement efforts.

Work Environment:

• Work is performed primarily in an office environment and may include remote, hybrid, or other business-approved work settings.
• Regular interaction with internal and external stakeholders occurs through in-person, virtual, and telephone communication.
• Environmental conditions and noise levels may vary depending on work location and business activities.
• Work may require attendance at meetings, training sessions, conferences, or other business-related functions.
• Work schedules may occasionally vary based on business needs, project demands, or organizational priorities.

Physical Demands:

• May occasionally be required to reach with hands and arms, stoop, kneel, or crouch.
• May be required to remain in a seated position for extended periods.
• May occasionally lift or move items such as materials, equipment, or supplies.
• Heavy keyboard and mouse usage required with repetitive movements.
• Frequent use of computers, telephones, and other office technology.

Mental Demands:

• Strong analytical skills to evaluate information, identify trends, and support informed decision-making.
• High level of attention to detail to ensure accuracy in work activities, documentation, and communications.
• Critical thinking skills to assess situations, evaluate impacts, and develop effective solutions.
• Capacity to make sound decisions while balancing competing priorities and organizational objectives.
• Ability to manage multiple projects, priorities, and deadlines simultaneously in a fast-paced environment.
• Excellent verbal and written communication skills to convey information clearly and effectively to diverse audiences.
• Strong organizational and time management skills to prioritize work and adapt to changing business needs.
• Flexibility to adjust to changing circumstances, evolving priorities, and new processes or technologies.
• Ability to interpret and apply information from multiple sources to support business decisions and achieve desired outcomes.
• Strong interpersonal skills to build relationships, collaborate effectively, and influence positive outcomes.
• Ability to manage stress and maintain professionalism and composure in demanding situations.