Job
Description
Must have skills required : Python, R, SQL, PowerBI, Spotfire, Hadoop, Hive Good to have skills : Spark, Statistics, Big Data Job Description: You will work with Being part of a digital delivery data group supporting bp Solutions, you will apply your domain knowledge and familiarity with domain data processes to support the organisation. Part of bps Production & Operations business, bp Solutions has hubs in London, Pune, and Houston. The data team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of activity from facilities and subsea engineering to logistics. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and creating visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain stakeholders to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and solve value impacting business problems. You might be a good fit for this role if you: have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Strong analytical skills and demonstrable capability in applying analytical techniques and Python scripting to solve practical problems. are curious, and keen to apply new technologies, trends & methods to improve existing standards and the capabilities of the Subsurface community. are well organized and self-motivated, you balance proactive and reactive approaches and across multiple priorities to complete tasks on time. apply judgment and common sense you use insight and good judgment to inform actions and respond to situations as they arise. What you will deliver Be a bridge between asset teams and Technology, combining in-depth understanding of one or more relevant domains with data & analytics skills Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). Present results to peers and senior management, influencing decision making What you will need to be successful (experience and qualifications) Essential MSc or equivalent experience in a quantitative field, preferably statistics. have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Advanced SQL knowledge. Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Excellent communication and interpersonal skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, stakeholders, and customers. Foster collaboration and teamwork Desired Advanced analytics degree. Experience applying analytics to support engineering turnarounds Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
