Research Data Analyst - Residential Insights

Flux Resources, LLC; Portland, Oregon (OR, IL); Hybrid; USD 80,000 - 100,000; Part time

Job summary

An innovative company is seeking a detail-oriented Research Data Analyst to provide data-driven insights for residential energy consumption. In this part-time role, you will analyze energy usage patterns and collaborate with cross-functional teams to enhance energy efficiency programs. You'll leverage your expertise in data analysis tools and statistical methods to communicate findings effectively to stakeholders. This is an exciting opportunity to contribute to strategic planning and customer engagement initiatives in a dynamic environment focused on sustainable energy solutions.

Qualifications

• Minimum of 2 years of experience in data analysis, preferably in energy sector.
• Strong statistical and analytical skills to interpret complex datasets.

Responsibilities

• Gather and analyze residential data to identify energy consumption trends.
• Develop predictive models to forecast energy demand at household levels.

Skills

Data Analysis

SQL

Python

R

Excel

Data Visualization

Statistical Analysis

Communication

Collaboration

Education

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Environmental Science

Bachelor's degree in Energy Management

Tools

Tableau

Power BI

Job description

We are seeking a detail-oriented and innovative Research Data Analyst to join one of our clients in the Portland, OR area. Our client is a leading natural gas provider committed to delivering energy solutions. In this role, you will analyze residential energy consumption patterns, assess neighborhood-level energy needs, and provide data-driven insights to inform strategic planning and customer engagement initiatives.



Important Details:

This is a contract part-time role. The duration of this contract is expected for 6 months. This candidate will work part-time 20 hours a week. Pay rate is $45/hr and this candidate will primarily work from home with occasional days in office as needed to present data and findings.



Key Responsibilities

• Data Collection & Analysis: Gather and analyze residential data, home specific data, energy usage data, demographic information, and neighborhood characteristics to identify consumption trends and patterns.


• Predictive Modeling: Develop and maintain models to forecast energy demand at the household and neighborhood levels, incorporating factors such as socioeconomic status, housing type, and seasonal variations.


• Reporting & Visualization: Create comprehensive reports and visualizations to communicate findings to internal stakeholders, including senior management and operations teams.


• Program Support: Collaborate with cross-functional teams to design and evaluate energy efficiency programs tailored to residential customers, ensuring alignment with company goals and regulatory requirements.


• Stakeholder Engagement: Present complex data insights in a clear and actionable manner to non-technical audiences, facilitating informed decision-making.

Qualifications

• Education: Bachelor's degree in Data Science, Statistics, Environmental Science, Energy Management, or a related field.


• Experience: Minimum of 2 years of experience in data analysis, preferably within the energy, utilities, or environmental sectors.


• Technical Skills: Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualization platforms like Tableau or Power BI is a plus.


• Analytical Abilities: Strong statistical and analytical skills, with the ability to interpret complex datasets and translate them into actionable insights.


• Communication: Excellent written and verbal communication skills, with the ability to present findings to diverse audiences.


• Collaboration: Ability to work effectively in cross-functional teams and manage multiple projects simultaneously.

Preferred Qualifications

• Advanced Tools: Experience with machine learning algorithms and anomaly detection techniques applied to energy consumption data.


• Industry Knowledge: Familiarity with energy efficiency programs, smart meter data, and regulatory standards in the natural gas or utility industry.


• Certifications: Relevant certifications in data analysis, energy management, or sustainability are advantageous.

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