Senior data analyst

bp; Sunbury-on-Thames; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

bp is seeking a data analyst to support the Wells & Subsurface organisation. You will bridge asset teams with Technology, applying domain knowledge in geology/geophysics to deliver data-driven insights and actionable analytics.

The role involves building data pipelines, developing visualisations in PowerBI, and presenting findings to leadership. This hybrid opportunity starts in Sunbury/London with a future move to Timber Square around 2027–2028.

Qualifications

• MSc or equivalent in a quantitative field (statistics preferred).
• Strong domain knowledge in geology or geophysics.
• Hands-on data analytics, data mining and product analytics in fast-paced environments.
• Advanced SQL and scripting in R or Python.
• Ability to write and maintain moderately complex data pipelines.
• Customer-centric mindset and strong communication skills.

Responsibilities

• Bridge between asset teams and Technology using subsurface & wells domains with data & analytics.
• Provide actionable, data-driven insights by combining statistics, data manipulation and business insight.
• Identify impactful opportunities and autonomously complete data analysis.
• Apply existing data analytics strategies relevant to your scope.
• Clean, pre-process and analyse structured and unstructured data.
• Develop data visualisations to analyse datasets with PowerBI, Spotfire or similar.
• Present results to peers and senior management to influence decisions.

Skills

Geology

Geophysics

Python

SQL

Data analytics

PowerBI

Data pipelines

Communication

Problem solving

Education

MSc in quantitative field

Advanced analytics degree

Tools

Hadoop

Hive

Spark

Job description

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 visualisations 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

You might be a good fit for this role if you:

• have strong domain knowledge in at least one of; Geology, Geophysics, Reservoir Engineering, Petrophysics, Production Engineering.

• Strong analytical skills and demonstrable capability in applying analytical techniques and Python scripting to solve practical Wells & Subsurface data challenges.

• 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 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

What you will need to be successful (experience and qualifications):

• 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

Desired:

• Advanced analytics degree.

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

Why Join Us?

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. Please contact us to request accommodation.

Reinvent your career as you help our business meet the challenges of the future.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

.

Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time.

Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status.Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process,pleasecontact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.