Data Analytics Business Partner

Qualifications

• At least 3 - 6 years of progressive experience in data analytics, BI, commercial performance analytics, financial analysis, or decision support roles within telecom, digital, FMCG, financial services, or similarly data rich environments.
  
• Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, Finance, or Business Analytics or related field or equivalent qualification(s) from a recognized institution of higher learning.
  
• Postgraduate qualification (e.g., Master’s in Data Analytics, Applied Statistics, Finance, Economics, or Business Administration) is a strong advantage.
  
• Experience working within agile delivery models, including tribes, squads, backlog management, sprint planning, and
  
• cross functional collaboration, is highly desirable.
  
• Advanced proficiency in modern BI and analytics tools such as Power BI, Tableau, Qlik Sense, and strong working knowledge of SQL, Python, R, or equivalent data manipulation languages.
  
• Demonstrated capability in data mining, KPI modelling, dashboard design, data storytelling, and insight visualization, with high attention to detail and quality.
  
• Practical understanding of International Financial Reporting Standards (IFRS) and financial structures to accurately interpret P&L, revenue drivers, variance analyses, and commercial performance reports.
  
• Strong ability to translate management reports into actionable insights, communicate findings clearly, and engage business leaders with evidence based recommendations.
  
• Proven ability to work under pressure, manage multiple priorities simultaneously, and meet strict analytical and reporting deadlines in fast paced environments.
  
• Strong stakeholder engagement skills, with the ability to collaborate effectively across Commercial, Finance, Product, Digital, and BI/Data Engineering functions.
  
• High standards of integrity, professionalism, and data governance awareness, including adherence to data privacy, accuracy, and security requirements.
  

Performance Measurement & Review

• Lead the end to end performance management rhythm, ensuring timely, accurate, and actionable analysis that enables the Tribe to track progress against strategic objectives.
  
• Facilitate monthly, weekly, and ad hoc performance reviews, presenting diagnostics, insights, and implications that inform strategic and operational decision making.
  
• Identify performance gaps early and provide scenario based recommendations to mitigate risks or accelerate opportunities.
  
• Develop and refine KPI frameworks to ensure consistent measurement across products, segments, and channels.
  
• Partner with Tribe Leads to embed data driven performance rituals, ensuring insights translate into concrete interventions and follow-up actions.
  
• Performance Reporting & Insights
  
• Deliver accurate, high impact dashboards and reporting suites that provide a single source of truth for revenue, customer, usage, and campaign performance.
  
• Transform raw data into clear commercial stories through trend analysis, segmentation insights, and diagnostic deep dives.
  
• Continuously improve reporting automation, structure, and visualization to enhance decision readiness for business stakeholders.
  
• Produce insight briefs and rapid response analyses to support emerging business questions or shifts in commercial priorities.
  
• Validate KPIs and definitions across squads to ensure consistency, accuracy, and cross functional alignment.
  

Business Analysis & Trend Monitoring

• Proactively identify emerging consumer trends, behavioural shifts, category risks, and competitive signals through continuous monitoring of internal and external data.
  
• Conduct deep dive analytics to uncover root causes of performance movements (e.g., ARPU, churn, conversion).
  
• Produce weekly insight packs summarizing opportunities, risks, and recommended actions for the Consumer Business leadership.
  
• Support proposition, pricing, and GTM teams with demand sizing, elasticity analysis, and market modelling.
  
• Maintain a forward looking analytical perspective to inform medium and long term capability planning.
  

Stakeholder Engagement & Agile Collaboration

• Actively participate in daily stand ups and agile ceremonies, ensuring data and insights inform tactical pivots and squad priorities.
  
• Work closely with Tribe Leads to curate high-relevance analytics, ensuring they have the right data at the right time.
  
• Manage an agile backlog of analytical requests, balancing rapid-response needs with deep analytical work for strategic topics.
  
• Translate stakeholder needs into structured analytical problems and deliver solutions that drive action.
  
• Foster strong working relationships across CVM, Product, Digital, Finance, Regions, and CX to ensure integrated decision making.
  

Financial Modelling & P&L Management

• Partner with Finance to design allocation models that accurately represent direct expenses and segment-level P&L up to trading contribution.
  
• Own the monthly Consumer P&L narrative, translating variances into operational actions and strategic trade-offs for leadership.
  
• Validate financial assumptions behind new features, propositions, and offers to ensure accuracy before build and launch.
  
• Conduct scenario modelling and sensitivity analysis to support business cases and commercial decisions.
  
• Provide financial foresight by linking consumer behaviour patterns to revenue outlook and profitability metrics.
  

Data Management & Governance

• Lead the design of automated, standardized, and self service reporting solutions that reduce manual effort and improve data accessibility.
  
• Own the full analytical lifecycle—from requirements gathering, data extraction, wrangling, and validation to final insight delivery.
  
• Ensure data accuracy and consistency by coordinating data collection across multiple products, segments, and channels.
  
• Uphold data governance by adhering to approved metadata standards, definitions, and lineage practices.
  
• Flag and address data anomalies, gaps, or inconsistencies before they influence decision-making.
  

Customer Delight

• Deliver fast, accurate, and value adding responses to internal stakeholders, ensuring high satisfaction and trust.
  
• Clearly define and communicate SLAs and ensure adherence to agreed turnaround times.
  
• Collect stakeholder feedback regularly and incorporate it into continuous improvement efforts.
  
• Participate in cross functional initiatives to enhance internal customer experience and streamline decision processes.
  
• Anticipate stakeholder needs by proactively providing relevant insights before formal requests arise.
  

Processes & Procedures

• Document analytics processes, reporting workflows, and quality standards in line with ISO and internal compliance requirements.
  
• Identify cross functional process dependencies and proactively align teams to eliminate bottlenecks and duplication.
  
• Drive process automation, workflow simplification, and adoption of modern visualization practices to achieve Digital Maturity Index 4.0.
  
• Regularly review processes to identify operational inefficiencies and recommend improvements.
  
• Ensure analytical outputs and processes comply with governance, audit, and data privacy guidelines.
  

Health & Safety

• Uphold the company code of conduct, policies and procedures, ensuring integrity and accountability in every aspect of your work.
  
• All employees have a responsibility to adhere to safety, health, and wellbeing policies, guidelines and procedures in all actions and decisions.