This job might no longer be available.

Data Science Analyst

Summary

What you'll do

Roles and Responsibilities:

• Data Collection and Integration:
  • Design and implement systems for the collection of environmental data, including emissions, energy consumption, and other relevant metrics.
  • Collaborate with internal and external stakeholders to ensure the seamless integration of data from diverse sources.
• Data Analysis and Modeling:
  • Utilize advanced statistical and machine learning techniques to analyze large datasets and derive meaningful insights.
  • Develop predictive models to assess environmental impact and identify areas for improvement in sustainability practices.
• Reporting and Visualization:
  • Create informative and visually appealing reports and dashboards to communicate key findings to both technical and non-technical stakeholders.
  • Present data-driven recommendations for improving ESG performance and reducing environmental impact.
• Data Integrity Check, Quality Assurance, and Remediation:
  • Develop and implement proactive measures for identifying and addressing data quality issues, ensuring the reliability of environmental datasets.
  • Collaborate with relevant stakeholders to define and implement data remediation strategies, resolving discrepancies and inaccuracies in a timely manner.
  • Utilize data profiling and cleansing techniques to improve the overall quality and consistency of ESG and emission data.

• Continuous Improvement:
  • Stay abreast of industry trends, emerging technologies, and best practices in ESG and environmental data science.
  • Proactively identify opportunities to enhance data collection processes and methodologies.
• Collaboration and Communication:
  • Work closely with cross-functional teams, including sustainability, operations, and technology, to ensure alignment with overall organizational goals.

What we're looking for

Required Skills and Experience:

• Bachelor’s degree required in business administration, communications, project management, engineering, data science, statistics, environmental science, or related field.
• An advanced degree required.
• 5+ years proven experience in data analysis, with a focus on environmental data and sustainability.
• Strong knowledge of statistical analysis, machine learning, and data visualization.
• AI fluency is a plus.
• Familiarity with ESG reporting standards and frameworks.
• Familiarity with carbon accounting and emission reduction strategies.
• Experience working with sustainability reporting standards (e.g., CDP, TCFD).
• Certification in data analytics or sustainability-related fields is a plus.

Demonstrate:

• Interpersonal, relationship-building and networking skills
• Procurement and negotiation skills
• Ability to multitask and prioritize workload
• Confident decision-making process
• Time management skills to independently move tasks forward
• Ability to draw information from various sources
• Excellent communications skills – verbal and written, with ability to convey complex technical information to non-technical stakeholders
• Ability to ingest and correlate disparate information
• Meticulous attention to detail
• Diligent follow up and follow through
• Teamwork skills
• Proficiency in the MS Office suite

Requirements

• Driver’s license for property-to-property travel
• Willing to travel on project assignments, as needed (<15%)
• This role can be physically challenging and requires physical strength and stamina during site visits and audits, and that may require long hours

• Relocation Not Available: At this time, we are not considering any applications that are not local to the required location listed in the job posting. Relocation will not be available for this position.

Travel Expectations