Data Analytics Analyst
About The Position
Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. Utilize Python scripting for data analysis, automation, and reporting. Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Develop and maintain data quality standards and ensure data integrity across various systems. Leverage data analysis and visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create interactive dashboards and reports for business stakeholders. Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements. Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects.
Requirements
- 1-2 years of hands-on work experience as Technical Data Analyst with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets.
- Proficiency in Python scripting for data analysis and automation.
- Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense.
- Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).
Nice To Haves
- Practical experience applying AI/ML techniques in data analysis projects is a plus.
Responsibilities
- Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes.
- Utilize Python scripting for data analysis, automation, and reporting.
- Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Develop and maintain data quality standards and ensure data integrity across various systems.
- Leverage data analysis and visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create interactive dashboards and reports for business stakeholders.
- Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements.
- Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
