Senior data analyst

Entity:
Technology Job Family Group: IT&S Group

Job Description:

Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Being part of the Wells & Subsurface data group, you will apply your domain knowledge and familiarity with domain data processes to support the Wells & Subsurface (W&SS) organisation. Part of bp’s Production & Operations business, W&SS has hubs in London, Pune, and Houston.

The team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of disciplines and petro-technical applications. 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 problem.

• Be a bridge between asset teams and Technology, combining in-depth understanding of one or more subsurface & wells 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

• MSc or equivalent experience in a quantitative field, preferably statistics.
• Strong domain knowledge in at least one of;
  Geology, Geophysics, Reservoir Engineering, Petrophysics, Production Engineering.
• 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.
• Expert 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.

• Advanced analytics degree.
• Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.

At BP, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Reinvent your career as you help our business meet the challenges of the future.

Negligible travel should be expected with this role.

This role is not eligible for relocation.

This position is a hybrid of office/remote working.

• Commercial Acumen
• Communication
• Data Analysis
• Data cleansing and transformation
• Data domain…