{"id":2688644,"url":"https://alion.io/job/capitec-data-analyst-2","title":"Data Analyst","company":{"id":2123918,"name":"Capitec","domain":"capitecbank.co.za","url":"https://alion.io/company/capitecbank","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stellenbosch, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":48000,"period":"year","method":"role_country_seniority_unknown","sample_n":26},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Matplotlib","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-14T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Apply by: \n\nWe're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:\n\n1. To see what life at Capitec is all about and complete a short assessment, please click here!\n\n2. Once you have completed the above finalize your application by clicking apply below.\n\nWhy this role exists\n\rThe Operational Risk Data Analyst II is accountable for the consolidation, verification, analysis and reporting of operational risk data across the bank — producing high-quality risk insights, regulatory submissions, operational loss analysis and forward-looking intelligence to support effective decision-making. The role acts as a link between data analytics and operational risk management, enhancing the bank's risk data landscape, strengthening prudential reporting capabilities and building a data-driven risk insights capability within the function.Operational risk data flows in from multiple directions — loss events, RCSAs, KRIs, audit findings, near misses. This role brings it all together: making risk visible, measurable and actionable for decision-makers at every level — from business units through to ExCo and Board.\nWhat you’ll do\n\rManage, govern and enhance operational risk data, ensuring quality, accuracy and alignment with BCBS 239 principles. Analyse risk trends, loss events and emerging risks to identify key drivers and control gaps. Develop dashboards, management information and actionable insights for senior leadership and risk committees.Support regulatory and prudential reporting, including Basel, ICAAP and Banks Act requirements. Automate and improve risk reporting and data processes using SQL, Python, Power BI or similar tools. Partner with business and Operational Risk teams to strengthen data-driven risk management and decision-making.\nMinimum Experience\n\nAt least 5 years experience in data analysis in a risk management or financial services environment\n\nOperational risk frameworks — RCSA, KRI, loss data and scenario analysis\n\nData governance and data quality principles\n\nWorking with large, fragmented datasets — ideally in a risk environment\n\nDesigning impactful visualisations that communicate risk insights effectively\n\nExperience In using advanced data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).\n\nExperience in performing complex data analysis and statistical modelling.\n\nExperience working with, guiding and providing subject matter expertise to cross-functional teams (e.g., finance, marketing, IT) to understand business needs and provide data-driven insights.\n\nKnowledge\n\nAdvanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.\n\nExpertise in advanced Excel functions, including macros and VBA.\n\nProficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar.\n\nAdvanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).\n\nStrong understanding of statistical methods and their application in financial data analysis.\n\nUnderstanding of predictive analytics techniques and their application in financial analysis.\n\nKnowledge of data modelling techniques to structure and organize data effectively.\n\nUnderstanding of risk analysis methods and their application in financial services.\n\nQualifications (Minimum)\n\rBachelor's Degree in Analytical/Data/Technical or Other\r\nConditions of Employment\n\rClear criminal and credit record\r\nCapitec is committed to diversity, applications to this position will strictly be considered in support of our 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