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For Companies At a Glance
- Tasks: Transform raw data into actionable insights and support data-driven decisions.
- Company: Join BP, a leader in sustainable energy solutions for over 100 years.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on the future of energy while developing your analytical skills.
- Qualifications: Experience with SQL, Python, and data visualization tools like Power BI.
- Other info: Collaborative environment with strong focus on innovation and problem-solving.
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.
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.
Qualifications
- Experience with a range of data and digital tools relevant to data operations, including:
- SQL and Python for data manipulation and analysis
- Visualization tools such as Power BI / Palantir Foundry
- Cloud analytics platforms such as Databricks / Palantir Foundry
- Git-based version control and DevOps practices
- Experience / certifications in Palantir Foundry
- Experience as a data analyst at a large energy company
- 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.
Data Analyst in Sunbury-on-Thames employer: BP p.l.c.
Contact Detail:
BP p.l.c. 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 current or former employees at BP through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Make sure you can talk confidently about SQL, Python, and any visualisation tools you've used. We want to see you shine with real examples of your work!
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and keep it clear.
✨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 the 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 at BP. Highlight your experience with SQL, Python, and data visualisation tools like Power BI. 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 analysis and how you can contribute to our mission at BP. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! 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.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you'll find all the details you need about the role and our company there!
How to prepare for a job interview at BP p.l.c.
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data manipulation and analysis. This will show that you can hit the ground running!
✨Visualisation is Key
Familiarise yourself with data visualisation tools like Power BI or Palantir Foundry. Prepare to showcase examples of how you've effectively communicated complex data insights through visuals. This will demonstrate your ability to make data accessible to diverse audiences.
✨Understand the Business Context
Research BP's operations and their approach to sustainability. Be prepared to discuss how your analytical skills can support their ambition to become a net zero company by 2050. Showing that you understand their goals will set you apart from other candidates.
✨Collaboration is Crucial
Highlight your experience working in cross-functional teams. Be ready to share specific examples of how you've solved complex business problems using data-driven approaches. This will illustrate your ability to work collaboratively and contribute to group problem-solving initiatives.
