Data Analyst

• 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 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.

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.