Senior Data Analyst

Enterprise Technology/Telecom is looking for someone with the ability 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)

The hiring range for this position in Orlando, FL is $101,800 to $136,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.