bp is seeking a proactive Data Analyst to join its P&O and HSE data group in Pune on a hybrid basis. The role involves working with complex safety, health, environment, risk, and incident datasets—conducting analytics, data pipelining, and visualizing insights using SQL, Python, PowerBI, or Spotfire. If you’re ready to deliver actionable, data-driven solutions in a dynamic energy-sector setting, this opportunity is for you!
Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
BP is Hiring: Data Analyst – Pune (Hybrid) – Overview
| Company Name: | bp |
| Job Role: | Data Analyst |
| Location: | Pune |
| Work Mode: | Hybrid |
| Last Date to Apply: | ASAP |
Job Description:
- bp is reinventing itself and digital capability is at the core of this vision. Technology Engineers work on the strategic technology platforms we exploit from the market, or come with deep skills in the implementation and integration of market solutions into our overall technology landscape. You will bring a broad base of Digital technical knowledge and a good understanding of software delivery principles. You will be familiar with lifecycle methods, with Agile delivery and the DevOps approach at the core.
- Responsibilities:
- Be a link between business and digital organizations and part of a cross-disciplinary team, working closely with other analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners.
- Provide actionable, data-driven business and product insights by combining deep statistical skills, data manipulation capabilities and eye for business.
- Maintain metrics and build dashboards.
- Autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope.
- You partner with data engineers to define and build simple data models. You integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis.
- Enforce to and advocate for data analytics standard processes.
- Present results to peers and team members
- Collaborates with customers.
- Mentor others.
Skills:
- MSc in a quantitative field, preferably statistics.
- Hands-on experience (typically approx 3- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, 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.
- Strong business insight.
- Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail.
- Good communication and customer leadership skills. Ability to lead large organizations through influence!
- Continuous learning and improvement mentality.
