
Chief Data Operations Manager
2 days ago
A Business Intelligence Analyst's role entails collecting, analyzing and interpreting data to uncover insights that inform business strategies and enhance operations.
They employ programming, statistical analysis, machine learning techniques and problem-solving skills to identify patterns, develop predictive models and communicate findings to stakeholders.
Proficiency in script-based solutions and data visualization is essential for effective communication of results.
Key responsibilities include:
- Collecting and organizing data using statistical methods and problem-solving skills.
- Developing solutions to problems encountered in data collection and cleaning, as well as developing statistical models and algorithms.
- Gathering data from multiple sources and preparing it for analysis.
- Interpreting large volumes of structured and unstructured data to identify trends and patterns.
- Developing machine learning models and predictive algorithms to solve business problems.
- Validating findings using statistical techniques and ensuring accuracy.
- Creating clear, engaging visualizations and reports to communicate results effectively.
- Collaborating with different teams to apply data-driven insights.
- Bachelor's degree in business analytics, information systems or a related field.
- 5-8 years of experience in a business analyst or data analyst role (SFIA level 3-4).
- Proficiency in Python, C++, SQL and data visualization tools.
- Knowledge of AWS Bedrock and GCP Vertox.
- MLops scalability and model development expertise.
- Experience with containerization (Docker).
- Excellent communication skills - both verbal and written.
- Ability to collaborate with business stakeholders with proactivity and cross-functional collaboration capabilities.
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Chief Financial Operations Manager
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