Data Analytics 2 (Climate and Energy)

Abt Global is hiring a Data Analytics 2 (Climate and Energy) in Atlanta, GA. The role requires expertise in environmental science or energy systems, focusing on data analysis, visualization, and cloud tools like Azure and AWS. Responsibilities include collaborating with clients, data cleaning, and developing analysis plans. Candidates should have a relevant degree, experience with programming (Python or R), and strong communication skills. This position is not remote.
About the position

Abt Global is seeking a data analytics candidate with a strong background in environmental science or energy systems to join its expanding team within the Digital and Data Services (DDS) Division. This division is pivotal in providing data science methodologies, data visualization, and automation tools to a diverse array of clients, including government agencies, university researchers, and foundations. The work primarily focuses on public policy, program evaluation, and data modernization across various sectors such as energy, environment, healthcare, public health, housing, and human services, both domestically and internationally. The selected candidate will primarily collaborate with clients in the environmental and energy sectors in the United States. In this role, the candidate will engage with both internal teams and external clients to apply data analytics in addressing complex technical questions. Responsibilities will include data cleaning, analysis, and visualization of both textual and numerical data. The candidate may also utilize tools within Azure and AWS cloud environments to deploy analytics or modeling workflows. Additionally, the successful candidate will be responsible for developing analysis plans, effectively communicating the strengths and weaknesses of various analyses, and identifying and applying suitable analytic techniques. The ideal candidate will have experience in programming languages such as Python or R, and will be familiar with environmental or energy data analytics. They will be expected to collect data from various sources, including web scraping and APIs, and perform essential data management tasks such as data wrangling and cleaning. Familiarity with time series data and datasets with complex relationships is also crucial. The candidate will design and implement quality assurance and management processes, ensuring thorough documentation of analytical requirements, version control, and code defect management. Strong writing, presentation, and interpersonal communication skills are essential for success in this position.

Responsibilities
• Collaborate with internal colleagues and external clients on data applications to answer complex technical questions.
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• Conduct data cleaning, analysis, and visualization of textual and numerical data.
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• Utilize Azure and AWS cloud environments to deploy analytics or modeling workflows.
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• Develop analysis plans and communicate the strengths and weaknesses of various analyses.
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• Identify and apply appropriate analytic techniques for data analysis.
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• Collect data from various sources, including web scraping and APIs, and perform data management tasks such as data wrangling and cleaning.
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• Design and implement quality assurance and management processes, including documentation of analytical requirements, version control, and code defect management.

Requirements
• Bachelor's degree with 2 years of experience or a Master's degree in a relevant field.
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• Experience in environmental science or energy systems is strongly preferred.
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• Familiarity with environmental or energy data analytics and programming.
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• Proficiency in programming languages such as Python or R.
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• Experience with data management tasks including data wrangling and cleaning.
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• Strong writing, presentation, and interpersonal communication skills.

Nice-to-haves
• Previous consulting experience is preferred.
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• Experience publishing environmental science and/or energy manuscripts, dashboards, or products.

Benefits
• Comprehensive employee benefits package.
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• Flexible schedules to balance work and personal life.
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• Professional development opportunities.
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• Market-competitive salaries.