We Are Teva
Our Team, Your Impact
As a TGO Network Strategy Analytics and Data Analyst in Teva Global Operations, you’ll be at the centre of building the data capabilities that support high-quality network and product strategy decisions. You’ll join the Global Network & Product Strategy (GNPS) team, helping to connect complex operational, portfolio, financial, and supply datasets into robust analytical tools that improve visibility, strengthen decision-making, and support Teva’s “Pivot to Growth” strategy.
This role is suited to a technically strong analyst who enjoys working hands-on with data, building automated data flows, creating insightful Power BI reports, and translating complex datasets into clear business recommendations. You will work with some of Teva’s largest and most important data sources, identify data quality issues and gaps, and collaborate with GNPS, IT, Finance, Supply Chain, Portfolio, and other analysts across the business to build scalable, reliable, and insightful analytical solutions.
How You’ll Spend Your Day
- Advanced Excel & Analytical Modelling: Use advanced Excel skills, structured models, Power Query, and strong analytical techniques to manipulate large datasets, test scenarios, validate outputs, and support high-quality business decision-making.
- Business Insight & Decision Support: Convert data into clear recommendations, highlight trends, risks, and opportunities, and provide analytical support for network strategy, product strategy, capacity, portfolio, and operational decision-making.
- Automated Data Flows: Build, maintain, and improve automated data flows between Teva data sources, ensuring data is connected, refreshed, reliable, and structured for repeatable analysis and reporting. Working in Python or similar languages is considered beneficial.
- Power BI Reporting & Visualisation: Design and deliver insightful, innovative, and user-friendly Power BI reports and dashboards that translate complex network, product, operational, and financial data into clear business insights.
- AI Deployment & Business Adoption: Lead the deployment of AI-enabled analytics and business solutions across Teva, including practical use of tools such as Microsoft Copilot and Claude to improve analysis, reporting, knowledge management, and productivity. Identify practical use cases, support adoption, and help teams embed AI into sustainable ways of working.
- Supply Chain Network Strategy: Support supply chain network strategy by performing sensitive analysis on: utilization; capacity; cost; and performance data across the manufacturing and supply network, identifying opportunities to improve efficiency, resilience, and strategic decision-making.
- Data Quality, Gaps & Governance: Identify issues, inconsistencies, and gaps in current datasets, clearly communicate their business impact, and work with data owners and stakeholders to improve data quality, definitions, traceability, and governance.
- Documentation & Sustainable Ways of Working: Create clear documentation for data flows, assumptions, reporting logic, refresh processes, and data definitions so that analytical tools are robust, transparent, and sustainable for the GNPS team.
- Teamwork & Cross-Functional Collaboration: Work effectively with the GNPS team, IT, Finance, Supply Chain, Portfolio, Sites, and other data analysts across the business to share best practice, align data definitions, and deliver high-quality analytical outputs.
Your Skills and Experience
- Degree in Data Science, Computer Science, Engineering, Statistics, Business Analytics, Industrial Engineering, or a related analytical field.
- Mandatory 4 years experience in data analysis, business intelligence, reporting, data preparation, and working with large, complex datasets.
- Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis.
- Strong Power BI capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling.
- Experience building data pipelines, automated data flows, APIs, cloud-based solutions, or AWS-enabled automation would be highly beneficial.
- Experience working with, deploying, and driving business change through AI solutions, including practical application of tools such as Microsoft Copilot and Claude, identifying use cases, engaging stakeholders, supporting adoption, and translating AI capabilities into measurable business value.
- Excellent analytical and problem-solving capabilities, with strong attention to data quality, data integrity, assumptions, and evidence-based recommendations.
- Strong communication and collaboration skills, with the ability to work effectively across global, cross-functional teams and translate technical outputs into clear business messages.