Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.
Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives.
Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations.
Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement.
Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.
Minimum required Education:
Bachelors / Masters Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Minimum required Experience:
Minimum 6-8 years of experience in data analytics and modeling or equivalent with background in cloud architecture and core software engineering domains
In this role, you have the opportunity to:
- Be part of the CloudOps team accountable for the stability, quality, performance and costs of service delivery for the applications operated in public datacenters infrastructure, both physical and virtual environments.
- Play a key role for building an operational methodology to monitor, supervise datacenter costs, improving cost effectiveness by means of proactive management of all technical methodologies involved in cloud exploitation.
- Operate, in the light of HSI offering, by securing the proper provisioning costs of AWS services mix, as the relevant infrastructure costs driver of the SaaS.
Job Responsibilities:
Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.
Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives.
Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations.
Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement.
Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.
Minimum required Education:
Bachelors / Masters Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Minimum required Experience:
Minimum 6-8 years of experience in data analytics and modeling or equivalent with background in cloud architecture and core software engineering domains
Preferred Skills:
Data Analysis Interpretation
Data Harmonization Processing
Data Modeling
Data Quality Assurance
Statistical Methods
Statistical Programming Software
Business Intelligence Tools
Data Mining
Machine Learning Engineering Fundamentals
Research Analysis
Structured Query Language (SQL)
Regulatory Compliance

Cloud Ops FinOps Specialist

Job Description

Required Skills