--- title: 'Lead Business Analyst at Lingaro' canonical: 'https://feeny.ai/job/lead-business-analyst-lingaro-india-466smywqm93y' type: 'job' last_seen: '2026-09-13' --- # Lead Business Analyst at Lingaro - **Company:** Lingaro - **Location:** India - **Employment:** contract - **Work type:** remote - **Posted:** 2026-09-10 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.lever.co/lingarogroup/e394f7e5-7ea8-4d99-866b-034d14958b28 ## Job description Lead Business Analyst – Contract India, Remote Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. What You Will Be Doing: Core BA Responsibilities Contribute to and drive continuous process improvement initiatives to meet evolving business needs of the client's procurement function Work closely with multiple stakeholders — procurement leaders, category managers, finance controllers, IT, and data owners — to gather, analyze, and define current business processes as well as requirements Translate business requirements into detailed functional specifications for the Power BI dashboard, including data model expectations, calculation logic, visualizations, and user interactions Support the Project Manager in delivering the project plan on time and on budget, including scope management, effort estimation input, and milestone tracking Ensure requirements issues are tracked, reported, and resolved in a timely manner via the project's RAID Log and Decision Log Effectively communicate plan, status, risks, and issues to stakeholders in a precise and timely manner across governance forums Support users' participation in deployments and implementation activities, including UAT coordination, training material preparation, and hypercare support What We’re Looking For: Education: Degree/Diploma in Computer Science, Engineering, or a related field (Business Administration, Information Systems, Supply Chain Management, or Finance also considered) Experience & Skills: Prior experience as an IT Business Analyst — minimum 5+ years, with at least 1 years in a lead Proven track record of requirements elicitation, delivering BRDs, functional specifications, and data mapping documents for BI dashboard projects Fluent command of written and spoken English and Japanese Adept at working with multiple stakeholders to drive desired outcomes across crossfunctional and crosscultural teams Direct experience with Power BI projects — requirements definition, dashboard page design, data model review, and UAT facilitation Strong problemsolving, prioritization, and organizational skills Technical Knowledge: Power BI — strong understanding of data modeling (star schema), DAX measures, RLS, incremental refresh, and report design best practices Knowledge of cloud data platforms (Azure) and data flow from source systems into BI layers Understanding of ETL/ELT processes and data warehousing concepts Nice to have: Experience with spend analysis, spend classification/categorization, and procurement analytics domains Experience working with ERP / P2P procurement data (SAP MM, SAP Ariba, Coupa, Oracle Procurement, or similar) Understanding of procurement data structures: purchase orders, invoices, contracts, goods receipts, supplier master data, and material/service categorization Familiarity with spend classification frameworks: UNSPSC, eClass, custom category taxonomies ## About Lingaro ## Company Overview - **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation. - **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed) - **Headquarters**: Warsaw, Poland - **Founded**: 2008 - **Founders**: Not publicly available ## Core Business - **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services - **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing) - **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes. ## Products & Services - **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation. - **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics. - **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management. - **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant). - **Data Consulting**: Strategy development, governance frameworks, architecture design. - **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps. - **Data Visualization**: Dashboards and reporting. - **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators). - **Intelligent Operations & Support**: Managed services, 24/7 support, optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY) - **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed. - **Growth Signals**: - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US). - **Fortune 100 Best Companies to Work For in Europe™** (2024). - **Great Place to Work®-certified** in Poland, Philippines, and India (2025). - **Best Workplaces™ in Asia** (2024). - Supports **75+ leading brands across 30+ countries**. - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland). - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles). ## Competitive Advantages - **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support. - **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability). - **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management. - **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions. - **Global delivery model** – 24/7 support across time zones with strong European roots and global scale. - **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality. ## Strategic Focus - **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.” - **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA. - **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical. - **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients. - **Geographic expansion** – continues to scale presence in the US, APAC, and Europe. ## Why Work Here - **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024. - **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”). - **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development. - **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients. - **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks. - **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7. ## Sources 1. [Lingaro Group About Page](https://lingarogroup.com/about) 2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro) 3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup) 4. [Lingaro Group Home Page](https://lingarogroup.com/home) 5. 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