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- Tasks: Transform raw data into actionable insights and support data-driven decision-making.
- Company: Join bp, a leading energy company committed to sustainability and innovation.
- Benefits: Enjoy flexible working options, generous parental leave, and excellent retirement benefits.
- Why this job: Make a real impact in the energy sector while developing your data analysis skills.
- Qualifications: Experience in data analysis, SQL, Python, and strong communication skills are essential.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 28800 - 48000 £ per year.
Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner.
We are seeking a highly motivated and skilled Data Analyst to join our team at BP Exp Op Co Ltd. This role will be instrumental in transforming raw data into actionable insights, supporting data-driven decision-making across the organization's Productions and Operations division.
Job Responsibilities:
- Perform comprehensive data analysis, including data cleansing, transformation, and validation to ensure accuracy and integrity.
- Develop and maintain robust data integration processes, sourcing data from various internal and external systems.
- Design and implement effective data visualization and interpretation techniques to communicate complex findings to diverse audiences.
- Contribute to the development and implementation of data strategy and governance frameworks, ensuring data quality and compliance.
- Utilize Extract, Transform, and Load (ETL) methodologies to manage and optimize data workflows.
- Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches.
- Apply strong commercial acumen to understand business needs and translate them into analytical requirements.
- Effectively communicate insights and recommendations to stakeholders through presentations and reports.
- Maintain awareness of and adhere to digital security best practices in all data handling.
- Contribute to group problem-solving initiatives and foster a collaborative environment.
- Develop and maintain strong data domain knowledge relevant to the company's operations.
Tools & Technologies:
- SQL and Python for data manipulation and analysis
- Visualization tools such as Power BI / Palantir Foundry
- QuiverCloud analytics platforms such as Databricks / Palantir Foundry
- Git‑based version control and DevOps practices
Candidates will stand out if they have:
- Experience / certifications in Palantir Foundry
- Experience as a data analyst at a large energy company
Job Qualifications:
- Proven experience in data analysis, data manipulation, and data management.
- Demonstrated proficiency in data cleansing and transformation techniques.
- Solid understanding of data integration and data sourcing principles.
- Expertise in data visualization and interpretation tools and methodologies.
- Familiarity with ETL processes and tools.
- Superb communication and interpersonal skills, with the ability to articulate complex data concepts clearly.
- Solid commercial foresight and the ability to understand business context and objectives.
- Experience supplying to data strategy and governance initiatives is a plus.
- Knowledge of digital security standards in a data environment.
- Ability to work effectively in a team-oriented, group problem-solving environment.
- Bachelor's degree or experience in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or a related quantitative subject area.
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 meaningful, 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 essential 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. Apply now!
Travel Requirement: No travel is 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 visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving
Data Analyst in Sunbury-on-Thames employer: BP Energy
Contact Detail:
BP Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Sunbury-on-Thames
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at BP. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Think about how you can showcase your skills in SQL, Python, and data visualisation tools. We want to see how you can turn complex data into clear insights!
✨Tip Number 3
Show off your projects! If you've worked on any data analysis projects, make sure to have them ready to discuss. Whether it's a personal project or something from your studies, we love seeing real-world applications of your skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at BP!
We think you need these skills to ace Data Analyst in Sunbury-on-Thames
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, SQL, and Python, and don’t forget to mention any relevant tools like Power BI or Databricks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our mission at bp. Keep it concise but impactful – we love a good story that connects your experience to our goals.
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we want to see how you've applied your skills in real-world scenarios. Visuals can help here too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at BP Energy
✨Know Your Data Tools
Make sure you're familiar with SQL, Python, and any visualisation tools like Power BI or Palantir Foundry. Brush up on your ETL processes too! Being able to discuss how you've used these tools in past projects will show that you’re ready to hit the ground running.
✨Understand the Business Context
Before the interview, research BP's operations and their data strategy. Understanding how your role as a Data Analyst fits into their mission of delivering energy sustainably will help you articulate your insights and recommendations more effectively.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world business problems during your interview. Think about examples from your experience where you used data to solve complex issues. Be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to communicate your findings to diverse audiences, so being able to present your insights clearly and confidently is key. Consider doing mock presentations to friends or family to refine your delivery.