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Data Analyst
At Brendle Group, we’re committed to accelerating equitable solutions to the climate crisis. As a close-knit and strategically growing organization, we understand that true innovation thrives in diverse and inclusive environments. Our team is dedicated to addressing sustainability’s greatest challenges with creativity, collaboration, and innovative problem-solving. https://www.brendlegroup.com/
$72,490-$103,070
The Data Analyst will provide comprehensive support for data engineering, analytics, visualizations, and tool development needs across the firm, and will collaborate closely with project teams to help design, build, and maintain analytics tools including QA/QC systems. The role is responsible for supporting data intake and verification, as well as ensuring accurate and seamless integration into tools, databases, and data visualization processes. Key responsibilities include maintaining analytics tools, supporting and streamlining processes through automation workflows, and developing interactive dashboards that enhance project quality, operational efficiency, and overall client experience.
Technical Consultant (80% time)
- Backend and Data Engineering
- Support development of data automation pipelines and extract, transform, load (ETL) processes that supply data for both internal and external analytics and data products.
- Support development and implement workflows and management practices for backend and frontend software development that supports internal processes and external delivery.
- Tool Development
- Collaborate with teams to support the development of analytical tools that inform our work and enhance delivery of work including but not limited to:
- Data QA/QC
- Automation
- Interactive data visualizations and dashboards (e.g., Tableau, Power BI)
- Data Analysis
- Performs data analysis to inform decision-making and/or strategy prioritization.
- Assists with analysis workflows, process design, and quality control procedures.
- Analyzes water, energy, demographic, and other data sources to create digestible summaries, interesting visualizations, and supportive communication resources such as PowerPoint presentations and report content.
- Comfortable explaining analyses results and key takeaways to non-experts.
- Supports various project needs and data processing requirements, including data intake and verification and data integration into relevant tools and databases.
- Explore and leverage AI based tools to support data analysis and/or visualization.
Other Responsibilities (20% time)
- Support other business operations and other professional development opportunities, including:
- Continuously improve and develop internal tools, skills, and resources – sharing and teaching across the team when applicable.
- Support company goals, collaboratively engage with the team, and communicate in ways that mitigate conflict and make life easier for the team and our customers.
- Participate in company-wide, service team, and other meetings.
- Recognize and uphold established standards to deliver consistent work products, including attention to branding and communications protocols.
- Other duties as assigned or apparent.
Required Qualifications and Experience
- 2-6 years of relevant work experience.
- SQL experience in PostgreSQL, SQL Server, Oracle, and/or other data management technologies.
- Version control through Git or other tools.
- Programming in Python, R, Node.js, .NET, Java, Ruby, or other directly related languages.
- Experience with Excel-based tool development and model design.
- Familiarity with other visualization tools such as Tableau and Power BI.
- Experience and understanding across different technologies and end-user experiences.
- Excellent organizational, decision-making and time management skills with ability to prioritize, work independently, and manage multiple priorities and deadlines.
- Proficient with Microsoft Office programs (Word, PowerPoint, Outlook, Excel, Teams, SharePoint).
- Eager to learn and expand skillset.
- Familiarity with and enthusiasm for sustainability topics.
Preferred Qualifications and Experience
Beyond the required qualifications listed above, we value adaptability and collaboration. As a small business, our team members often take on multiple responsibilities to support overall success. For this role, we seek candidates with a broad professional background who can bring additional skills or experience into one or more of the following areas to strengthen team capacity and cross-functional resilience:
- Prior consulting experience.
- Prior project and/or task management experience.
- Demonstrated public speaking skills, including presenting technical information to a diverse audience.
- Four-year degree with an emphasis in Data Science, Statistics, Computer Engineering, Computer Science, from an accredited 4-year university or college or equivalent experience.
- Experience applying data analytics to develop visualizations, dashboards, and communication tools that inform decision making, particularly involving environmental datasets (e.g., water, climate, energy usage, demographics). As data-driven insights become increasingly important in environmental consulting, the ability to transform complex datasets into clear summaries, compelling visualizations, and effective communication tools is highly valued.
- Working knowledge of IT infrastructure to support data backend processes.
- Exposure to AI-based tools to support data analysis or visualization.
Attributes of Ideal Candidate
- People-oriented and client focused:
- Strong interpersonal communication skills.
- Reliable and clear communicator.
- Exhibits professional empathy, perspective, and cultural competence.
- Ability to function efficiently in a fast-paced and dynamic environment.
- Consistently produces high quality work.
- Owns position responsibilities and approaches work as a problem solver and critical thinker.
- Adapts willingly to changing responsibilities.
- Tech savvy and confident in learning and using modern technology systems.
- Self-motivated, ambitious, curious, and innovative team player with a passion for sustainability.
Application Process:
Please send the following to [email protected]:
- Resume
- Three professional references
- Salary expectations
- Schedule and office location preference
- A compelling cover letter explaining how your experience meets our job requirements and why you would be a great addition to our team.
Our preferred document format is PDF, although not required.
