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.