{"id":2578140,"url":"https://alion.io/job/bryte-reporting-and-analytics-manager","title":"Reporting and Analytics Manager","company":{"id":2588279,"name":"Bryte","domain":"brytesa.com","url":"https://alion.io/company/brytesa","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"MCI DirectHire","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":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Matplotlib","optional":true}],"status":"live","first_seen_at":"2026-10-09T12:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T09:14:19Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Description\nThe Reporting and Analytics Manager has the responsibility for leading Bryte’s enterprise reporting and analytics capability. You will ensure that Exco and Business Unit Heads have access to trusted, governed and actionable information to support operational, tactical and strategic decision-making. The incumbent will work closely with peers in the Pricing, Data Engineering and Data Governance teams to implement and maintain Bryte’s Enterprise Data and Analytics Platform while establishing standards for self-service analytics and generating business insights. This role reports into the Head of Analytics and Pricing.\nRequirements\nKey Tasks & Accountabilities\nOutward\nManage stakeholder expectations and foster collaborative relationships\nAlign reporting capabilities with business strategy\nDrive enterprise adoption of data-driven decision-making\nAnalyse and interpret business intelligence and communicate conclusions to business stakeholders\nSupport and participate in portfolio management and performance assessment against KPIs\nIdentify and develop machine learning and AI use cases, build organisational support for proposed solutions and drive their successful implement within the business.\nInternal\nPlan, prioritise and manage your team’s work within SLA and capacity\nEnsure reporting accuracy and consistency\nMaintain enterprise KPI definitions and metric governance\nEstablish trusted data assets for reporting and analytics\nSupport audit and regulatory requirements\nMaintain modelling minimum standards and drive your team and processes towards best practice\nRecruit new staff and ensure their systematic training and development\nManage performance and take corrective action when required\nProvide appropriate leadership to staff and reinforce company culture\nTechnical Proficiency\nAccomplished Python, SQL and PowerBI user, with proven ability to reconcile administration and claims transaction data to financials\nAccomplished Microsoft Office user, effective Power Point presenter\nProficient with Python packages for data visualisation and machine learning e.g. Pandas, Seaborn, Plotly, Scikit-learn, XGBoost, PyTorch an advantage\nAccomplished analytics specialist with exposure to data catalogues, business glossaries, data quality frameworks and stewardship models\nOffice and project management experience\nFamiliarity with non-life insurance pricing and portfolio management best practice an advantage\nQualifications & Work Experience\nPostgraduate qualification in Actuarial Science, Mathematics, Statistics, Computer Science or similar\nOther relevant qualifications, courses and training an advantage\nIdeally 6 years analytics experience preferably in non-life insurance\nExperience in leading analytics teams\nExperience providing insights and recommendations to senior management\nExperience in machine learning bet practice\nExperience at prioritizing, resourcing and planning\nAbility to manage diverse work portfolio and team\nDemonstrate ability to collaborate effectively across functions and influence outside of own function\nSkills\nTime Management & Prioritising\nPlanning, delegating and tracking work\nOrganising and coordination\nAble to manage expectations and change\nPersonal Qualities\nMotivator, influencer and thought leader\nAccomplished communicator, a great listener\nEarnest collaborator, with best practice bias\nProlific solution and synergy coordinator\nEfficient at delivery, while maintaining high quality\nControl cycle proponent, an accomplished process improver\nDecisive 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