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Über
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)
Sprachkenntnisse
- English
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