Data Analytics Business Partner

Responsibilities:

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 building and launching.
• 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-added 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 well-being policies, guidelines and procedures in all actions and decisions.

Core competencies, knowledge and experience:

Customer Obsession

• Deepen team connection to our customers and communities.
• Foster authentic relationships with customers and partners that build trust.
• Explicitly take customer-centric decisions and take personal ownership to achieve results.
• Simplify processes through digitalisation and promote a digital mindset and digital first customer experience.
• Stay focused on the big priorities, know when to make meaningful trade-offs and demonstrate brilliant execution.

Purpose

• Show ambition and courage, empowering others to go beyond the plan.
• Bold and challenge teams to reimagine how things are done.
• Prompt new thinking and ideas by asking “what if” questions.
• Use knowledge of the external environment (customers, partners, competition, external bodies) to identify and act on opportunities for growth at pace.

Innovation

• Create psychological safety so everyone can have an impact.
• Fuel innovative ideas from others and test them to enable growth.
• Explore successes and failures with curiosity and resilience; fearlessly recognizing lessons learned.
• Share your ongoing learning and personal purpose with others.
• Learn fast from digital adoption, using learnings to drive simplicity, scale and efficiency.

Collaboration

• Articulate your team’s role in making our strategy happen, prioritizing and aligning resources with current and future needs.
• Actively collaborate to break silos and hold your team accountable to do the same.
• Develop others to make the most of their talents and coach them to take ownership to get things done.
• Create an inclusive environment ensuring the safety and well-being of others.
• Live our Purpose and demonstrate the highest Standard of integrity.

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 a 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.

Skills Required:

• Accounting / Finance
• Applied / Natural / Science
• Computer / Software / It / Data
• Economics / Statistics
• Sales / Marketing / Business / Management