Data Analytics Analyst

We are seeking a highly skilled Technical Data Analyst to join our growing team. This role requires a strong technical foundation in Oracle PL/SQL and Python, combined with expertise in data analysis tools and techniques. The ideal candidate will be a strategic thinker with a proven ability to lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. They will also be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects.

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.

Preferred Qualifications:

• Hands-on work experience as Technical Data Analyst(not a business 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).
• Practical experience applying AI/ML techniques in data analysis projects is a plus.
• Strong analytical, problem-solving, communication, and interpersonal skills.
• Experience in the financial services industry.

Qualifications:

• 0-2 years of relevant experience
• Experience in programming/debugging used in business applications
• Working knowledge of industry practice and standards
• Comprehensive knowledge of specific business area for application development
• Working knowledge of program languages
• Consistently demonstrates clear and concise written and verbal communication

Education:

• Bachelor's degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

This position is for a Data Scientist with expertise in Python, Cloud technologies and advance data analytics, detailed JD will be provided to HR to update this posting.

Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Most Relevant Skills
Please see the requirements listed above.

Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.

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