Senior Data Analyst

Grade HResponsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using sound technical capabilities, building and maintaining effective working relationships, ensuring relevant standards are defined and maintained, and supporting delivery of process and system improvements. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation.

Entity:

About bp/team: bp s Innovation Engineering (IE) organization is the central organization for all software and platform development. We build all the technology that powers bp s businesses, from upstream energy production to downstream energy delivery to our customers. We have a variety of teams depending on your areas of interest, including infrastructure and backend services through to customer-facing web and native applications. We encourage our teams to adapt quickly by using native AWS and Azure services, including serverless, and enable them to pick the best technology for a given problem. This is meant to empower our software and platform engineers while allowing them to learn and develop themselves.

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 business sense.

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. Implement to and advocate for data analytics standard processes.

Present results to peers and team members. Collaborates with customers.

Qualifications:

Any Engineering in a quantitative field, preferably statistics.!

Hands-on experience (typically approx 8-12 years) carrying out data analytics, data mining and product analytics in sophisticated fast environments.

Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages.!

Advanced SQL knowledge

Deep understanding of a few and a high-level understanding of several commonly available statistics approaches

Thorough understanding of underlying mathematical foundations of statistics, including knowledge of experimental design and analysis and causal inference from observational data.

Well versed with scripting experience in R or python.

Ability to write and maintain data pipelines

Customer-centric and demeanor. Focus on value delivery and swift execution, while maintaining eye for detail.

Good communication and partner leadership skills. Ability to lead large organizations through influence.

Continuous learning and improvement demeanor.!

Data and analytics degree!

Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required.

Travel Requirement

Relocation Assistance:

Remote Type:

Skills:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, 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, please contact us .