Drilling Data Analyst

Drilling Data AnalystAbout SLBSLB is the world's leading provider of technology for reservoir characterization, drilling, production, and processing in the oil and gas industry. Working in more than 85 countries and employing approximately 100,000 people who represent over 140 nationalities, SLB supplies the industry's most comprehensive range of products and services, from exploration through production and integrated pore-to-pipeline solutions for hydrocarbon recovery that optimize reservoir performance. Visit for more information.We are a global technology company driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse groups of experts in our industry, anywhere around the globe. Global in outlook, and local in practice, we're united in our passion for discovering solutions and in our commitment to creating a sustainable and balanced future. We set the bar high. So we’re looking for talented, driven people committed to innovation and success and who act with integrity. We'll give you a platform to develop both professionally and personally, supported by our community of colleagues, co-workers, alumni, and our valued external partners. It's a deep collaboration that enables us all to achieve our goals. Come and be part of one of the world’s most diverse and inclusive groups of industry experts.Position: Drilling Data AnalystJob Summary:As a Drilling Data Analyst, you will provide technical expertise and support to deliver exceptional services for data capture, management, and reporting throughout the entire lifecycle for wellsite drilling & workover operations. Using data reporting tools and techniques, you will apply your knowledge and understanding to ensure daily reporting of well-site activity (dysfunctional symptoms, executing KPI-based analytics, and conducting NPT/ILT time analysis.). This includes data capture from various service providers, client organization, real-time data sources and other data formats to ensure streamlined data capture via reporting tools. You will also monitor the reporting for mandatory parameters and maintain records to monitor daily reporting quality. You will receive training that expands your technical knowledge and hands-on skillset.Job Location:Duliajan, Assam, INDIAMumbai, Maharashtra, INDIADehradun, Uttarakhand, INDIAReporting to Project Manager or Team LeadKey Responsibilities:Perform daily reporting of wellsite operations and be accountable for overall performance of timely data capture and reporting including configuration, loading, QC, monitoring and troubleshooting of operational activity for the asset / locationEnsure seamless data is captured with reporting applications including monitoring of mandatory reports, data sources, report formats including units, identifiers, meanings, normal value ranges to identify and fix data issues proactively.Learn the reporting application, system installation and configuration, troubleshooting process and keep track of issues and resolutionUnderstand the role of different stakeholders and coordinate project data collection across service companies, client organization, real time data providersProvide support to the on-site team, collaborate with the project team, client organization and remote operations support to ensure smooth and reliable function of application software and systems, including system upgrades, troubleshooting and maintenance activitiesMonitor service quality, understand and utilize the Incident Escalation Procedures and pre-emptively inform supervisors when potential issues ariseUnderstand and Implement the Data Confidentiality Standards and IT Security Policies across all activities related to data capture, storage,