Data Analyst III

Senior Data Analyst -

Responsibilities

Part of a cross-disciplinary team, working closely with other data 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 acumen.

Define, instrument and maintain metrics and build dashboards.

Proactively identify impactful opportunities and autonomously execute data analysis.

Be a bridge between business and digital organizations, combining in-depth understanding of both areas.

If needed, build and maintain data pipelines to unblock your analysis.

Adhere to and advocate for data analytics best practices

Present results to peers and senior management, influencing decision making

Mentor others.

Qualifications

Essential

MSc in a quantitative field, preferably statistics.

Hands-on experience (typically 5+ years) carrying out data analytics, data mining and product analytics in complex, fast-paced environments.

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

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

Expert SQL knowledge

Advanced scripting experience in R or python.

Ability to write and maintain moderately complex data pipelines

Strong business acumen.

Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.

Strong communication and stakeholder management skills. Ability to lead large organizations through influence.

Continuous learning and improvement mindset.

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.