• Own the end-to-end analytics lifecycle for leadership and key stakeholders, ensuring high-impact reporting is delivered on schedule. • Serve as the primary analytics lead for top-tier client requests, acting as a consultant to design solutions that address complex healthcare business challenges. • Establish and uphold data integrity standards by leading peer code reviews and providing expert guidance on SQL optimization and complex logic validation. • Oversee the reporting roadmap and project lifecycle via Jira and Confluence, ensuring transparent communication of project statuses. • Translate dense healthcare findings into compelling narratives and presentations that bridge technical complexity with business-critical decision-making. • Lead high-priority routine and ad-hoc analyses, including internal and external audits, delivering insights within accelerated timeframes. • Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architecture teams to develop automated, scalable solutions. • Approximately 60% writing SQL and/or Looker code for reporting and custom analyses, 20% collaborating with team members, and 20% communicating results to stakeholders.

• Develop and execute sales strategies to achieve company revenue targets and expand client base within the data center power infrastructure sector. • Conduct thorough market research to identify potential clients, industry trends, and competitive landscape across the data center and critical power supply chain (hyperscalers, colocation providers, utilities, and EPC firms). • Identify, target, and acquire new clients among data center operators, hyperscalers, colocation providers, and the utilities/EPCs that build and power their campuses. • Build and maintain relationships with key decision-makers and stakeholders — including facilities, electrical engineering, and reliability teams — within target organizations. • Lead and manage the entire sales cycle, from initial contact to sales negotiations and closure, working together with the Power and Industrial sales teams. • Attend industry conferences, trade shows, and networking events to promote products and services and establish industry connections. • Develop and nurture long-term relationships with clients to ensure customer satisfaction and repeat business. • Prepare and deliver compelling presentations, proposals, and product and technology demonstrations to prospective clients. • Collaborate with the global marketing team to develop sales materials, case studies, and other promotional content. • Work closely with the global product management and development, regional marketing, and customer support teams to ensure alignment and support for business development activities. • Monitor and report on sales metrics, pipeline status, and business development activities. • Analyze and assess the effectiveness of business development strategies and make data-driven recommendations for improvement.

• Conduct fast-paced quantitative analyses in response to pollution episodes, energy market developments and other policy-relevant events, identifying impactful and policy-relevant findings. • Integrate, clean and analyse diverse proprietary, in-house and open datasets. • Produce reproducible code, robust methodology documentation, and reusable datasets. • Develop clear and effective data visualisations that communicate analytical insights. • Support research by combining quantitative analysis with domain expertise and desk research. • Develop new datasets, analytical tools and data products to strengthen CREA's research capabilities. • Work closely with colleagues to shape research questions and identify the most important analytical findings. • Contribute to reports, briefings and other research outputs by ensuring analyses are robust, transparent and reproducible.

• Responsible for mining big data, interpreting and analyzing complex data sets • Develops and deploys predictive models to analyze company performance and improve customer experiences • Applies statistical techniques and machine learning algorithms to identify trends within Mazda data • Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions