{"id":3177708,"url":"https://alion.io/job/capitec-data-analyst-ii","title":"Data Analyst II","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":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","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":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"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":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T00:00:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"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\nAbout the team\n\rProduct Health sits within Business Improvement & Optimisation and supports Capitec's number one strategic objective: building trust with clients. The team uses data, client feedback, operational signals and AI-driven insights to spot where client trust is breaking down — then works with product teams to fix the root causes. The team's work covers more than 60 products and over 100 data assets across the bank.\nWhy this role exists\n\rThe role exists to unlock value from data — making it accessible and meaningful to stakeholders across the organisation. It transforms data into actionable insights that support strategic decision-making, optimise operations and drive business performance. By identifying trends, patterns and opportunities, it enables informed, data-driven decisions and contributes directly to the organisation's strategic objective of being an insights-driven organisation. This isn't a typical reporting or dashboard role. As a Data Analyst II in Product Health, you'll investigate complex problems across products and systems, find the root causes and size the opportunity. You'll then influence senior stakeholders and see the fixes through to measurable results. Recent work has helped reduce client disputes and prevent service incidents at scale.\nThe kind of problems this role tackles:\n\n A high volume of clients calling the contact centre about a specific product — what's driving it and what should change?\n\nClient-dispute limitations in an app — should product functionality or thresholds be adjusted?\n\nA broken process causing branch visits — where does the fix sit and what's the evidence?\n\nWhat you'll do\n\nInvestigate client and product pain points using data, client feedback, operational signals and AI-driven insights\n\nIdentify root causes of high-volume client issues and size the business opportunity\n\nDevelop evidence-based business cases and work with product owners to determine remediation actions\n\nLocate and integrate additional data sources when existing sources are insufficient to support an analysis\n\nPerform complex data analysis and statistical modelling — interpreting large datasets and translating findings into clear, actionable recommendations for product and business teams\n\nEngage and influence senior stakeholders and product owners to drive remediation decisions\n\nWork with product teams across 60+ products to implement solutions — from functionality changes to threshold adjustments\n\nContribute to maintaining the product health score across 100+ data assets\n\nWork primarily on ad hoc analysis — this role does not focus on building repeatable dashboards within a structured software-development lifecycle\n\nMinimum Experience\n\nBachelor's Degree in Analytical, Data, Technical, Engineering or a related field\n\nMinimum of 5 years experience in data analysis, with a significant portion in the financial services, banking or a related analytical environment\n\nExperience leading data analysis projects and driving business impact through insights\n\nExperienced with advanced data analysis tools — SQL and Python are the minimum technical requirements for this role\n\nComplex data analysis and statistical modelling\n\nWorking with and guiding cross-functional teams\n\nCommunicating and presenting findings to non-technical stakeholder\n\nQualifications (Minimum)\n\rBachelor's Degree in Analytical/Data/Technical or Other\r\nTools and technical skills\n\nAdvanced SQL — complex query writing, query performance optimisation and large dataset management\n\nPython or R — data manipulation libraries (pandas, numpy) and visualisation libraries (matplotlib, seaborn)\n\nAdvanced visualisations and dashboards — Power BI, Tableau or similar\n\nR for statistical analysis\n\nSnowflake or AWS — useful but not a strict requirement\n\nAdvanced Excel — including macros and VBA\n\nStrong understanding of statistical methods and their application in financial data analysis\n\nPredictive analytics techniques and their application in financial services\n\nData modelling techniques to structure and organise data effectively\n\nRisk analysis methods and their application in financial services\n\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 employment equity goals.","description_format":"text","description_chars":4698,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-10-23T20:23:45Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.902,"p_room":1,"age_days":3,"expected_fill_days":15,"reasons":["seen:3","velocity","win:early"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/capitec-data-analyst-ii","json_url":"https://alion.io/job/capitec-data-analyst-ii.json","meta":{"generated_at":"2026-10-26T08:15:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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