Data Quality Analyst

Location

Johannesburg Metro, Johannesburg, Johannesburg North

Job Type

Contract | Full-Time Hours

Primary Industry

Banking and Finance

Secondary Industry

Information Technology and Internet

Job Description

The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of organisational data within the banking and finance sector. This role involves analysing data quality issues, implementing data validation processes, and collaborating with various teams to maintain and improve data standards. The analyst supports decision-making processes by delivering high-quality data insights and ensuring compliance with regulatory requirements.

Key Responsibilities

• Define/Enforce DQ Rules:scorecards and exception triage.
• Conduct regular data quality assessments to identify inaccuracies, inconsistencies, and anomalies across multiple data sources.
• Develop, implement, and maintain data quality control procedures, including data cleansing and validation techniques.
• Collaborate with data owners, business units, and IT teams to resolve data quality issues promptly.
• Monitor data quality metrics and produce comprehensive reports for management and stakeholders.
• Support data governance initiatives by enforcing data standards, policies, and compliance requirements.
• Assist in the design and deployment of data quality tools and systems to enhance data integrity.
• Perform root cause analysis of data quality problems and recommend corrective actions.
• Keep abreast of industry best practises and regulatory changes relevant to data management and quality assurance.
• Provide training and guidance to team members and business units on data quality principles and procedures.

Required Qualifications

• Professional qualification or certification in data management, data quality, or a related discipline is desirable.

Education

• A bachelor’s degree or equivalent qualification in Information Technology, Computer Science, Mathematics, Statistics, Finance, or a related field.

Experience

• At least three years’ experience in data analysis, data quality management, or a related role within the banking and finance sector or IT environment.
• Demonstrated experience in using data quality tools and software, such as data profiling, cleansing, and validation platforms.
• Experience working with large datasets and relational databases.
• Proven ability to identify data issues and implement effective solutions.

Knowledge and Skills

• DQ frameworks, SQL
• Strong analytical skills with attention to detail and accuracy.
• Good understanding of data governance principles and regulatory requirements relevant to banking and finance.
• Familiarity with data management concepts including data lifecycle, metadata management, and master data management.
• Proficient in SQL and data querying techniques.
• Competent in using Microsoft Office applications, particularly Excel, for data analysis and reporting.
• Excellent communication skills, both written and verbal, to convey technical information clearly to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.
• Problem-solving aptitude and the ability to prioritise tasks effectively.

Preferred Qualifications

• Certification in data quality or data governance frameworks such as DAMA-DMBOK, CDMP, or similar.
• Experience with data quality and data management tools such as Informatica, Talend, or Collibra.
• Knowledge of banking and financial regulations impacting data management, such as Basel III or GDPR.
• Familiarity with programming languages such as Python or R for data analysis is advantageous.

Working Conditions

• This role is based in Johannesburg North and requires working full-time hours on a contract basis.
• Office-based work with the possibility of remote working arrangements depending on organisational policy.
• Occasional requirement to work extended hours to meet project deadlines or regulatory reporting schedules.
• The role requires frequent interaction with various departments, necessitating strong interpersonal skills and adaptability.