Job Summary

Data Analyst – JD

 

• An understanding of data analysis tools and methodologies with the ability to develop business and technical solutions.
• Good knowledge of the Data Modelling, Data Controls & Assurance.
• Strong influencing skills, with the ability to present complex data analysis in a clear and concise manner to gain buy-in from stakeholders.
• An awareness of Financial Crime regulatory frameworks.
• Excellent communication and collaboration skills with internal and external stakeholders.
• Experience in managing action plans to address operational risk.
• Good knowledge of common banking products and how they are used
• Ability to interpret business and data requirements that drive the business solution.
• Experienced in SQL with ability to interpret data models.
• Proficient in creating supporting information e.g., presentations for screen sharing during complex discussions with parties across multiple locations.
• Good at problem solving and pro-active engaging with others to ascertain the full impact of defects and changes identifying interdependencies.
• Experience in documenting requirements/user stories, solution options, functional design, and data mapping.

 

 

Key Responsibilities

1. Lead technical projects involving sql, data analysis, and python from inception to implementation.
2. Design and develop sql databases, queries, and stored procedures to support various applications.
3. Conduct data analysis to derive valuable insights and make data driven decisions.
4. Develop and maintain python scripts to automate tasks and streamline processes.
5. Collaborate with cross functional teams to integrate technical solutions and ensure compatibility.
6. Troubleshoot technical issues related to sql databases, data analysis, and python scripts.
7. Stay updated on emerging technologies and recommend enhancements to existing systems.

Skill Requirements

1. Proficient in sql to design and optimize databases, write complex queries, and create stored procedures.
2. Strong data analysis skills to extract, clean, and analyze data for business insights and decision-making.
3. Experience in python programming for automation, data manipulation, and scripting tasks.
4. Knowledge of data visualization tools to present findings in a clear and understandable manner.
5. Excellent problem-solving abilities and attention to detail to identify and resolve technical issues efficiently.
6. Strong communication skills to collaborate with team members and stakeholders effectively.

Other Requirements

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