Senior Data Analyst

Sr. Data Analyst

Enterprise Technology/Telecom is looking for someone with the ability to identify and solve complex problems and integrate requirements, including recognizing patterns and conceptualizing opportunities. You are a thought partner who has a strong desire and determination to succeed. The Sr. Data Analyst must have a robust background in accounting/finance and automation/programming/modeling to address operational and financial risk.

Responsibilities

• Strong problem-solving skills; ability to identify patterns or trends by focusing on the right types of data, recognizing the most revealing method of analysis and catching gaps in the work
• Ability to perform descriptive, diagnostic, and predictive analyses
• Identify improvement opportunities (proactive and reactive) by recognizing trends
• Contribute to the definition, monitoring and communication of success metrics by service area. On an ongoing basis, monitor the metrics of all service areas for deviations.
• Contribute to automation initiatives that improve financial processes and operational efficiency
• Effectively and concisely communicate problems, issues, risks, and solutions both by written and oral methods to appropriate stakeholders and leadership.
• Develop models and ad hoc reports, sharing observations and recommendations with senior management, executives, and stakeholders for further consideration

Basic Qualifications

• Prior Telecom experience
• 5+ years of experience as an Analyst with 2+ years demonstrated experience in finance or business processes and automation
• Strong written and speaking skills to convey data and analysis to our customers; able to extract and explain the "story" from the data
• Background in automating/integrating with financial systems

Preferred Qualifications

• Advanced experience with Excel (can perform complex functions), Service Now
• Familiarity with the features, functions, and transaction processes in SAP, Tableau, SQL, R, Power BI, Coupa, Python, AI modeling and use-cases
• Experience collaborating with a range of partners while understanding multiple perspectives
• Demonstrated leadership qualities
• Familiarity with CI/CD pipelines and DevOps practices

Required Education

• Bachelor's Degree from a 4-year college or equivalent work experience

Preferred Education

• Graduate degree in statistics, math or computer science related field (MBA, MSA, etc.)
• Professional certification (CDP-DM, Data Analytics Boot Camp, Finance Transformation certifications)