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Хорошая вакансия
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Зона ответственности и руководство командой описаны достаточно ясно, а условия включают хороший набор льгот и работу с заметной медицинской миссией; при этом важно учитывать офисный формат и поездки до 20%.
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Офис и поездкиАктуальные BI-инструментыРуководство командойМедицинская миссияХороший пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Operations Data Analytics Manager (Business Intelligence/Data Analytics): Leading the development and maintenance of operational dashboards, reports, scorecards, datasets, and analytical tools with an accent on data quality, reporting automation, and scalable analytical solutions. Focus on translating operational requirements into data structures and report logic, troubleshooting source-system inconsistencies, and developing the Operations data analytics team.
Location: Charlotte, North Carolina, United States; travel up to 20% by airplane or vehicle may be required.
Company
hirify.global collects plasma to create life-saving medicines for patients worldwide and operates donation centers throughout the United States.
What you will do
Lead the design, development, maintenance, and enhancement of operational dashboards, reports, scorecards, datasets, and analytical tools.
Source, organize, prepare, and analyze operational data for recurring reporting, ad hoc analysis, and business needs.
Translate operational and analytical requirements into data structures, calculations, report logic, and technical reporting specifications.
Validate data and reporting accuracy, troubleshoot anomalies and discrepancies, and maintain standards for documentation, testing, maintenance, and change control.
Automate recurring reports, manual data processes, and analytical workflows to improve scalability and efficiency.
Partner with Business Intelligence, Business Analytics, Data Engineering, IT, and other technical teams while leading and developing the Operations data analytics team.
Requirements
Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, Information Systems, or a related field; an equivalent combination of education and relevant experience may be considered.
Five years of experience in data analytics, business intelligence, operational analytics, reporting, or a related field.
Experience developing and maintaining dashboards, reports, and analytical solutions, including large and complex datasets.
Experience with data visualization and business intelligence tools such as Power BI, Tableau, MicroStrategy, Qlik, or similar platforms.
Working knowledge of SQL and relational databases, with strong understanding of data warehousing, ETL processes, and data integration concepts.
Advanced knowledge of data analytics, reporting methodologies, data structures, business intelligence practices, visualization, reporting, and analytical tools.
Strong understanding of data validation, reporting logic, calculation methodology, quality assurance, reporting automation, and scalable analytical processes.
Ability to translate operational and business requirements into scalable data, reporting, dashboard, and analytical solutions; identify and troubleshoot anomalies, discrepancies, calculation errors, and source-system inconsistencies.
Experience leading analytical projects, technical workstreams, or data/reporting teams, with strong project management, prioritization, organizational, analytical, problem-solving, written communication, verbal communication, and cross-functional collaboration skills.
Ability to explain technical concepts to technical and non-technical stakeholders, establish reporting standards and documentation practices, lead and develop an analytics team, and adapt to changing technologies and business needs.
Culture & Benefits
Formal training and supportive, hands-on leadership focused on employee growth and development.
Medical, dental, and vision insurance, plus health savings and flexible spending accounts.
Tuition reimbursement, employee assistance program, and wellness program.
401k retirement plan, paid time off, company-paid holidays, and personal time.
Physical work includes extended sitting, computer and office-equipment use, occasional lifting of up to 20 pounds, and navigating the office environment.
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