{"id":1452519,"url":"https://alion.io/job/simplify-hr-proprietary-limited-senior-data-analyst","title":"Senior Data Analyst","company":{"id":1891733,"name":"Simplify HR","domain":"simplify.hr","url":"https://alion.io/company/simplify-hr","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"B","score":75,"open_postings":386,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-12T06:55:09Z"}},"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":["South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":720000,"max":720000,"currency":"ZAR","period":"year","gross":null,"usd_annual":43811},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-03-06T00:00:00Z","employer_posted_date":"2026-03-06","last_verified_at":"2026-09-29T13:23:43Z","board_verified":false,"closed_at":null,"days_open":220,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":220},"description":"An established management firm specializing in online media, digital marketing, and e-commerce solutions with over two decades of experience is seeking a Senior Data Analyst who will bridge the gap between raw data and strategic execution. You will partner with business leaders to define metrics, build analytical narratives, and deliver the trusted dashboards that drive our business outcomes.\nResponsibilities:\nCollaborate with business leads to define problems, test hypotheses, and establish success metrics.\n\nTranslate ambiguous business questions into technical requirements and measurable KPIs.\n\nLead workshops to align cross-functional teams on standardized data definitions.\n\nExecute exploratory, trend, funnel, and cohort/retention analyses to identify root causes.\n\nApply statistical methods (correlation, hypothesis testing, forecasting) to validate business assumptions.\n\nDesign and interpret A/B tests, including sample sizing and outcome measurement.\n\nDevelop high-impact Power BI dashboards and KPI packs aligned with business cadences.\n\nTranslate complex data into \"What, Why, and What’s Next\" narratives for executive consumption.\n\nPartner with BI/Engineering to build well-documented semantic models that enable self-service analytics.\n\nPerform rigorous QA and reconciliation to identify anomalies and ensure \"source of truth\" reliability.\n\nContribute to the enterprise metric catalog and data dictionary.\n\nCollaborate with Data Engineering to improve data lineage, source quality, and reliability.\n\nMentor junior analysts in technical best practices (SQL, DAX, Power BI) and the art of storytelling.\n\nDefine and enforce analytical standards, including peer review processes and QA checklists.\n\nCultivate a company-wide culture of evidence-based decision-making.\n\nMinimum Requirements:Experience: 5-10+ years in Analytics or BI, with a track record of delivering high-impact insights in high-volume or regulated environments.\n\nAdvanced SQL: Expert-level proficiency in window functions, CTEs, and performance-aware querying.\n\nPower BI Mastery: Deep expertise in DAX, Power Query, data modeling, and modern visual design standards.\n\nStrategic Analytics: Strong grasp of dimensional modeling, KPI governance, and data quality frameworks.\n\nSoft Skills: Proven ability to navigate ambiguity, frame complex problems, and influence stakeholders through compelling data storytelling.\n\nMicrosoft Ecosystem: Expert use of Power BI (Reports, Dashboards, Pipelines) and Excel (Advanced).\n\nData Architecture: Experience with Microsoft Fabric (Lakehouse/Warehouse, Direct Lake semantic models) and SQL Server/Azure SQL/Synapse.\n\nCertifications (Advantageous)\nPL-300: Power BI Data Analyst Associate.\n\nDP-600: Fabric Analytics Engineer Associate (highly valued for semantic modeling and governance).\n\nBenefits:\nCompetitive salary based on experience (salary can potentially be more based on experience/skills)\nIF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to 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