Description:
A leading company specializing in financial technology solutions for the investment industry is currently seeking a highly analytical and detail-oriented QA/Data Analyst. This role is instrumental in ensuring the integrity, quality, and efficiency of their data systems. The successful candidate will leverage their expertise in data analysis, automation, and database management to transform raw data into actionable insights, streamline processes, and maintain the reliability of their critical information infrastructure.Responsibilities:
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Perform comprehensive data analysis to identify trends, anomalies, or errors in datasets, ensuring data accuracy and consistency.
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Implement and manage process automation to enhance efficiency and reduce manual intervention in data workflows.
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Develop and execute robust test plans to ensure data quality, system reliability, and adherence to business requirements.
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Write and optimize complex SQL queries for efficient data extraction, validation, and reporting, supporting various analytical and operational needs.
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Utilize Python for advanced data manipulation, automation scripting, and sophisticated analytics tasks, contributing to data-driven decision-making.
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Collaborate closely with stakeholders across departments to understand their data requirements and ensure seamless alignment with overall business objectives.
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Manage databases by monitoring performance, troubleshooting issues, and implementing efficient storage solutions to maintain optimal data accessibility and integrity.
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Conduct thorough root cause analysis on identified data quality issues and implement effective corrective actions to prevent recurrence.
- Bachelor’s degree in Mathematics (BCom Mathematics or BSc Mathematics) or a related field.
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Proficiency in SQL, including writing complex queries, stored procedures, and understanding database structures.
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Strong Python programming skills, with experience in data manipulation libraries (e.g., Pandas, NumPy) and scripting for automation.
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Excellent problem-solving and analytical abilities, with a keen eye for detail and a methodical approach to data challenges.
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Proven experience in database management systems (e.g., PostgreSQL, MySQL, SQL Server), including performance monitoring and troubleshooting.
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Demonstrated data analysis skills, capable of interpreting large datasets and presenting findings clearly and concisely.
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com
You can also connect with Daniel on LinkedIn or contact Hire Resolve
If you meet the above requirements we will contact you within 3 working days
Requirements:
-
Perform comprehensive data analysis to identify trends, anomalies, or errors in datasets, ensuring data accuracy and consistency.
-
Implement and manage process automation to enhance efficiency and reduce manual intervention in data workflows.
-
Develop and execute robust test plans to ensure data quality, system reliability, and adherence to business requirements.
-
Write and optimize complex SQL queries for efficient data extraction, validation, and reporting, supporting various analytical and operational needs.
-
Utilize Python for advanced data manipulation, automation scripting, and sophisticated analytics tasks, contributing to data-driven decision-making.
-
Collaborate closely with stakeholders across departments to understand their data requirements and ensure seamless alignment with overall business objectives.
-
Manage databases by monitoring performance, troubleshooting issues, and implementing efficient storage solutions to maintain optimal data accessibility and integrity.
-
Conduct thorough root cause analysis on identified data quality issues and implement effective corrective actions to prevent recurrence.
- Bachelor’s degree in Mathematics (BCom Mathematics or BSc Mathematics) or a related field.
-
Proficiency in SQL, including writing complex queries, stored procedures, and understanding database structures.
-
Strong Python programming skills, with experience in data manipulation libraries (e.g., Pandas, NumPy) and scripting for automation.
-
Excellent problem-solving and analytical abilities, with a keen eye for detail and a methodical approach to data challenges.
-
Proven experience in database management systems (e.g., PostgreSQL, MySQL, SQL Server), including performance monitoring and troubleshooting.
-
Demonstrated data analysis skills, capable of interpreting large datasets and presenting findings clearly and concisely.
- Competitive salary based on experience (salary can potentially be more based on experience/skills)