Senior Data Analyst

Responsibilities · Be a bridge 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 acumen. · Maintain metrics and build dashboards. · Autonomously execute 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. · Adhere to and advocate for data analytics best practices. · Present results to peers and team members · Collaborates with stakeholders · Mentor others - Working knowledge of data science to aid data analysis - Knowledge of LLMs and putting them into practice for data analysis 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 complex, 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 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.

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