Data Analyst

Storm4 has a portfolio of experienced Data Analysts who promote product excellence throughout analytics departments.

Storm4 works with experienced Data Analysts who turn complex datasets into clear, decision-ready intelligence for Clean Energy, Infrastructure, and Mobility businesses.

Whether you’re hiring a Data Analyst to sharpen reporting and analytics, or you’re a data-driven professional ready for your next CleanTech role, Storm4 connects high-growth CleanTech companies with analysts who deliver clarity, accuracy, and impact.

These professionals act as the bridge between raw data and strategic action, empowering teams to improve efficiency, optimize performance, and accelerate sustainable impact.

What Is A Data Analyst?

A Data Analyst gathers, cleans, and interprets raw data to identify trends, patterns, and insights that guide business decisions. They transform complex datasets into accessible reports, dashboards, and visualizations that help stakeholders understand what is happening within the business – and why.

Working closely with product, operations, finance, and commercial teams, Data Analysts use a combination of technical expertise, statistical analysis, and communication skills to answer key business questions.

In CleanTech environments – such as renewable energy platforms, EV infrastructure providers, and sustainability-focused SaaS companies – Data Analysts support everything from operational efficiency and customer behavior analysis to energy usage optimization and ESG reporting.

Key Data Analyst Responsibilities

Collect, clean, and validate data from multiple sources, including databases, APIs, and third-party platforms.
Analyze datasets to identify trends, patterns, anomalies, and performance drivers.
Develop dashboards and visualizations to communicate insights to stakeholders.
Produce regular and ad-hoc reports supporting business, product, and operational decisions.
Translate analytical findings into actionable recommendations.
Partner with stakeholders to define reporting requirements and success metrics.
Support forecasting, performance tracking, and KPI measurement.
Ensure data accuracy, consistency, and documentation best practices.
Continuously improve reporting processes and analytical methodologies.

Data Analyst Skills Requirements

Data Analysts require a blend of technical capability, analytical thinking, and communication skills.

Technical Skills

Proficiency in SQL for data extraction and querying.
Strong experience using Excel for data manipulation and analysis.
Familiarity with Python or R for advanced analysis and automation.
Experience building dashboards using Tableau, Power BI, Looker, or similar tools.
Understanding of data structures, data quality, and basic statistical methods.

Analytical & Communication Skills

Strong problem-solving and critical-thinking abilities.
Attention to detail and data accuracy.
Ability to interpret complex data and highlight key insights.
Clear communication skills to explain findings to non-technical audiences.
Stakeholder-focused mindset and collaborative approach.

Data Analyst Experience Requirements

CleanTech organizations typically seek Data Analyst candidates with:

2–6+ years of experience in data analysis, business intelligence, or analytics roles.
Proven experience working with large or complex datasets.
Experience supporting stakeholders across operations, product, finance, or commercial teams.
Exposure to Clean Energy, Infrastructure, Mobility, or data-driven SaaS environments is advantageous.
Bachelor’s degree in Data Science, Mathematics, Statistics, Economics, or a related discipline.

The Data Analyst role ranges from mid-level to senior, depending on scope, ownership, and business complexity. In CleanTech companies, Data Analysts often play a key role in enabling data-driven decision-making across multiple departments.

Data Analyst Salary Expectations

Data Analysts are in high demand across the CleanTech sector, with salaries reflecting their growing impact on operational efficiency and strategic insight.

While salary levels for Data Analysts in the Clean Tech space can vary depending on company size, funding stage, and location the average Data Analyst can expect to receive an annual salary somewhere in the range of $105,000 – $130,000 depending on their experience, as senior analysts with 5-7+ years experience could earn as much as $155,000..

For a detailed breakdown by region and CleanTech vertical, download Storm4’s latest Salary Guides.

Download US CleanTech Salary Guides

Data Analyst Organization Hierarchy

Data Analysts typically sit within data, analytics, or business intelligence teams, depending on company structure.

Senior Data Analysts may influence analytical standards and mentor junior team members.

Data Analyst Reports To:

Analytics Manager / Head of Analytics / Head of Data

Works Closely With:

Product Teams
Operations & Finance Teams
Marketing & Growth Teams
Data Engineers
Executive Leadership

Example Data Analyst Job Advert

Here is an example of how a compelling Data Analyst job advert might look for a CleanTech organization:

📈 Role: Data Analyst
💼 Industry: CleanTech | Renewable Energy Analytics
🌎 Location: Remote (U.S.-based)
💰 Salary: $120,000–$145,000 + Bonus + Benefits

About the Company:
Our client is a fast-growing CleanTech company leveraging data to optimize renewable energy performance and reduce carbon emissions. They are seeking a Data Analyst to support reporting, insights, and data-driven decision-making across the organization.

Responsibilities:

Analyze operational and commercial data to identify trends and opportunities.
Build dashboards and reports to support leadership decisions.
Partner with cross-functional teams to define KPIs and metrics.
Translate data insights into clear, actionable recommendations.

Requirements:

3+ years of experience in a data analysis or BI role.
Strong SQL and Excel skills; Python or R preferred.
Experience with Tableau, Power BI, or similar tools.
Interest in CleanTech or sustainability-focused industries.

📧 To apply: Send your resume to recruiter@cleantech-org.com or click “Apply” to start the conversation.

Data Analyst Hiring Process

Hiring a Data Analyst focuses on evaluating analytical capability, technical skills, and business communication.

A typical hiring process includes:

Initial Consultation: Define analytical needs, tools, and success criteria.
Profile Sourcing: Identify candidates with strong SQL, reporting, and stakeholder experience.
Technical Screening: Assess data querying, analysis, and visualization skills.
Practical Task: Data analysis or dashboard-building exercise.
Stakeholder Interview: Evaluate communication and insight delivery.
Final Interview: Align on culture, growth opportunities, and expectations.