--- title: 'Business Analyst (Contractual) at Lingaro' canonical: 'https://feeny.ai/job/business-analyst-contractual-lingaro-philippines-j4yy6fqqjk8w' type: 'job' last_seen: '2026-10-18' --- # Business Analyst (Contractual) at Lingaro - **Company:** Lingaro - **Location:** Philippines - **Employment:** contract - **Work type:** remote - **Posted:** 2026-09-24 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.lever.co/lingarogroup/25d462fa-0aca-40c5-af5e-0fac492b48dc ## Job description About the role: Act as a strategic liaison between business stakeholders and delivery teams, leading requirements management, process analysis, solution design, and user acceptance activities. Leverage strong business acumen, analytical expertise, and stakeholder management skills to deliver scalable solutions that align with business objectives while ensuring data quality, governance, and operational excellence. What You'll Be Doing: Drive continuous process improvement initiatives to enhance operational efficiency, reporting accuracy, and business outcomes. Facilitate requirements workshops, stakeholder interviews, and discovery sessions with cross-functional teams and senior business leaders. Analyze, document, and validate business requirements, current-state processes, and future-state operating models. Translate business requirements into functional specifications, user stories, process flows, and testable acceptance criteria. Govern requirements throughout the project lifecycle to maintain consistency, traceability, and alignment across all levels. Develop and maintain business process maps, data flows, source-to-target mappings, and reporting relationships. Define KPI frameworks, business metrics, calculation logic, dimensions, filters, exception handling rules, and data-quality standards. Establish and maintain business glossaries, metadata repositories, data catalogs, and documentation standards. Advise stakeholders on optimal business and technology solutions, balancing business value, risk, scalability, and implementation considerations. Lead User Acceptance Testing (UAT) activities, including planning, test strategy, test case development, defect management, and business sign-off. Coordinate business participation during testing, deployment, release management, and post-implementation support activities. Collaborate closely with data engineering, analytics, architecture, and project delivery teams to ensure successful solution implementation. Mentor junior analysts and contribute to business analysis best practices, standards, and capability development. Provide strategic insights and recommendations to support continuous improvement and business innovation initiatives. What We're Looking For: Bachelor's Degree or Diploma in Computer Science, Information Systems, Engineering, Business Administration, or a related field. Significant experience as an IT Business Analyst, preferably in enterprise-scale data, analytics, or digital transformation projects. Proven experience leading business analysis activities across multiple initiatives and stakeholder groups. Experience working within Agile, Scrum, Waterfall, or hybrid project delivery methodologies. Demonstrated ability to manage competing priorities and deliver results in fast-paced, dynamic environments. Strong analytical, critical thinking, and problem-solving skills. Excellent stakeholder management and facilitation capabilities. Strong verbal and written communication skills, with the ability to communicate effectively across technical and non-technical audiences. Ability to influence decision-making and drive alignment among diverse stakeholder groups. Strong organizational, prioritization, and planning skills. Experience managing requirements from discovery through implementation and adoption. Proficiency in business process modeling, requirements management, and data analysis techniques.Strong understanding of reporting, KPI development, data governance, and data quality management. Experience using data analysis and visualization tools. Working knowledge of cloud-based data platforms and modern data architectures.Understanding of system integrations, APIs, and file-based interfaces. Domain Expertise Requirements: Finance (Strongly Preferred) General Ledger (GL) Profit & Loss (P&L) reporting Cost Centers Accounting Periods Accrual Management Financial Close Processes Reconciliation Activities SAP FI/CO knowledge strongly preferred Sales (Strongly Preferred) Customer and Product Hierarchies Pricing and Trade Promotions Sales Orders and Order Management Trade Spend Management Sell-in and Sell-out Analysis Customer Profitability SAP SD and TPM knowledge strongly preferred What Will Set You Apart: SAP tables and process knowledge within Sales, Finance, RD&E, or Sustainability domains.Databricks SQL or comparable cloud data platform experience. Experience with dbt documentation, testing, and data validation frameworks. Familiarity with data lineage and catalog solutions such as Unity Catalog. Understanding of API integrations and data exchange mechanisms. ## Experience leveraging AI-assisted delivery tools, ## 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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