The Goddard School of Moore, OK
Senior Data Analyst
The Goddard School of Moore, OK, Cleveland, Ohio, us, 44101
Meaden & Moore, a highly awarded CPA and business consulting firm, provides outstanding professional services while fostering rewarding careers and community service. The firm has been delivering superior accounting, tax, forensic, and consulting services since 1919. They focus on developing strategies and solutions to help clients succeed in today’s global economy.In this role you can expect to have the responsibilities:
Develop comprehensive data analysis and valuation models to support business decisions.Perform data mining and predictive modeling to optimize business outcomes.Collaborate with management to prioritize business and information needs.Identify and define new process improvement opportunities.Present data and insights clearly to non-technical stakeholders.Understand and execute data warehousing.Lead cross-functional projects using advanced data modeling and analysis techniques.This role comes with the following benefits:
Competitive compensation package based on qualifications and experience.Unique incentive program.Comprehensive benefits including medical programs, generous PTO, 401k, and bonus opportunities.This role requires you to have:
Bachelor’s or Master’s degree in Data Science, Economics, Statistics, Mathematics, Computer Science, or related field.5-10+ years of experience in a data analyst or related role.Strong analytical skills with attention to detail and accuracy.Experience in queries, report writing, and presenting findings.Advanced knowledge of statistics and experience with statistical packages (Excel, SPSS, SAS, etc.).Experience with data visualization tools (Tableau, Power BI).Knowledge of SQL and experience with programming (XML, Javascript, Python, and ETL frameworks).Experience in data warehousing and the development of related tools.Strong problem-solving skills and analytical mindset.Proven experience in managing and leading analytical projects.You would benefit from having:
Leadership qualities to inspire and mentor team members.Meaden & Moore values diversity and inclusiveness, embracing differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other unique characteristics.
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Develop comprehensive data analysis and valuation models to support business decisions.Perform data mining and predictive modeling to optimize business outcomes.Collaborate with management to prioritize business and information needs.Identify and define new process improvement opportunities.Present data and insights clearly to non-technical stakeholders.Understand and execute data warehousing.Lead cross-functional projects using advanced data modeling and analysis techniques.This role comes with the following benefits:
Competitive compensation package based on qualifications and experience.Unique incentive program.Comprehensive benefits including medical programs, generous PTO, 401k, and bonus opportunities.This role requires you to have:
Bachelor’s or Master’s degree in Data Science, Economics, Statistics, Mathematics, Computer Science, or related field.5-10+ years of experience in a data analyst or related role.Strong analytical skills with attention to detail and accuracy.Experience in queries, report writing, and presenting findings.Advanced knowledge of statistics and experience with statistical packages (Excel, SPSS, SAS, etc.).Experience with data visualization tools (Tableau, Power BI).Knowledge of SQL and experience with programming (XML, Javascript, Python, and ETL frameworks).Experience in data warehousing and the development of related tools.Strong problem-solving skills and analytical mindset.Proven experience in managing and leading analytical projects.You would benefit from having:
Leadership qualities to inspire and mentor team members.Meaden & Moore values diversity and inclusiveness, embracing differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other unique characteristics.
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