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.
Qualifications:
MSc in a quantitative field, preferably statistics.
Hands-on experience (typically approx 5- 7 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.
Desired:
Advanced analytics degree
Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
No prior experience in the energy industry required.