{"id":4199701,"url":"https://alion.io/job/bp-connected-lab-junior-analyst-2","title":"Connected Lab Junior Analyst","company":{"id":2557,"name":"BP","domain":"bp.com","url":"https://alion.io/company/bp-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":41,"ghost_share":0,"stale_share":0.22,"repost_share":0.024,"time_to_fill_p50_days":16,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LIMS","optional":false},{"name":"Master Data Management","optional":false},{"name":"Agile","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Waterfall","optional":true}],"status":"live","first_seen_at":"2026-11-12T21:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T21:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"At bp, the Connected Lab Junior Analyst supports the deployment, configuration, integration and continuous improvement of Laboratory Information Management Systems (LIMS) and laboratory data management solutions across bp's R&D laboratories, with a particular focus on enabling Day 1 operations for the Bengaluru Technology Centre.\n\nWorking as part of the Lab Automation, LIMS & Data Management team, the role collaborates with laboratory users, digital teams, data specialists, suppliers and project teams to gather requirements, support implementation activities and help ensure laboratory data is captured, managed and accessible throughout its lifecycle. The role contributes to the successful deployment of LIMS, data management and integration solutions that improve laboratory efficiency, compliance, data quality and digital enablement.\n\nKey Accountabilities:\nFacilitate requirements gathering activities through workshops, interviews, process mapping and stakeholder engagement.\nEngage with scientists, laboratory personnel and subject matter experts (SMEs) to understand current laboratory workflows, sample management processes, data requirements and operational challenges.\nSupport the definition of project scope, objectives, requirements and success criteria for LIMS and data management initiatives.\nDocument business, process, functional, integration and reporting requirements using agreed standards and methodologies.\nDevelop and maintain current-state and future-state process maps covering laboratory operations and supporting digital workflows.\nAnalyse information gathered to find opportunities for standardisation, digitisation, process simplification and operational efficiency.\nMaintain traceability of requirements, actions, risks, assumptions and decisions throughout project delivery.\nSupport the Connected Lab Specialist and wider project team through coordination of requirements, actions and delivery activities across multiple workstreams.\nSupport the deployment, configuration and continuous improvement of LIMS and laboratory data management solutions.\nWork closely with the Lab Automation Specialist and Automation workstream to ensure LIMS, robotics, orchestration platforms, equipment integrations and laboratory processes are deployed as a connected end-to-end solution.\nCollaborate with Data Management specialists, Digital Security, Digital Delivery, system integrators and vendors to support integrated laboratory workflows and data flows.\nParticipate in system configuration, testing, user acceptance testing (UAT), deployment and operational handover activities.\nSupport user training, adoption and change management activities to drive successful implementation and sustainable business outcomes.\nAssist with testing and validation of data interfaces and workflows to ensure information is transferred accurately and reliably between systems.\nSupport identification and development of AI, analytics and reporting use cases through improved access to structured laboratory data.\nContribute to development and implementation of laboratory data management approaches, standards and best practices across Downstream R&D.\nSupport implementation of data governance, taxonomy and master data management activities to improve data quality, integrity, traceability and compliance.\nWork with scientists, Digital Science teams and business stakeholders to understand laboratory and scientific data challenges.\nSupport integration between LIMS, laboratory instruments, automation platforms, ELN, ERP and other enterprise systems.\nContribute to reporting, analytics and data improvement initiatives that support digital laboratory transformation and AI readiness.\n\nEssential Education & Experience:\nBachelor's degree as a minimum in science, engineering or a related discipline.\n3-5 years of relevant experience in laboratory operations, laboratory informatics, business analysis, digital transformation or data management environments.\nExperience gathering, documenting and handling business and user requirements.\nExperience supporting technology deployment, process improvement or digital transformation projects.\nStrong analytical, process mapping and problem-solving skills.\nExperience working with multidisciplinary stakeholders and facilitating discussions across technical and business teams.\nUnderstanding of data quality, data governance and master data concepts.\nExperience working with scientific, laboratory or enterprise data.\nStrong written and verbal communication skills.\n\nDesirable Education & Experience:\nExperience with Laboratory Information Management Systems (LIMS), ELN, SDMS or other laboratory informatics platforms.\nUnderstanding of laboratory workflows, sample lifecycle management, testing processes and scientific data management.\nKnowledge of laboratory automation, robotics, equipment integration or orchestration platforms.\nExperience supporting software implementation, testing, validation or deployment activities.\nFamiliarity with Agile, Waterfall or hybrid project delivery approaches.\nExperience working with technology suppliers, vendors or system integrators.\nKnowledge of data governance frameworks and metadata management.\nExperience with Power BI, SQL, Python or other data analysis tools.\nExperience supporting AI, analytics or digital transformation initiatives through structured data management.\n\nLeadership Expectations:\nLives the bp values of Safety, Respect, Excellence, Courage and One Team.\nBuilds effective working relationships across disciplines, functions and geographies.\nDemonstrates curiosity, learning agility and a continuous improvement attitude.\nTakes ownership for delivery of assigned activities and commitments.\nDelivers high-quality outcomes with solid attention to detail and customer focus.\nSupports safe, reliable and value-driven delivery of digital laboratory solutions.\nActively develops knowledge and expertise in laboratory informatics, data management and laboratory automation technologies.\n\nTravel Requirement:\nOccasional domestic and international travel to bp sites and supplier facilities may be required.\n\nAdditional Information:\nThis role is eligible for relocation within country.\nThis position is a hybrid of office/remote working.\nSkills\nData Management, LIMS, Laboratory Informatics, Laboratory Information Management 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