ESG Data Analyst @ Conservice
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Job Details
Overview
Conservice is seeking an Analyst to join our Customer Experience team. We provide an intelligent, comprehensive, and intuitive platform for ESG (Environmental, Social, Governance) management. The ESG Data Analyst will collect, interpret, and analyze data to solve customer needs, leveraging streamlined processes, structured problem-solving techniques, and data management principles.
Key Responsibilities
- Work closely with customers to resolve data issues.
- Present data analysis reports to internal and external stakeholders.
- Develop effective actions and guidelines for process improvements.
- Manage the customer onboarding process to the Conservice ESG platform and oversee its maintenance.
- Maintain customer relationships to promote value through business acumen and problem-solving.
- Collaborate with internal leaders to continuously improve company products and offerings.
Skills & Qualifications
Core Skills: Leadership, problem-solving, effective communication, operational understanding, and teamwork.
Qualifications: Bachelor's degree in engineering, sciences, or business, with 2-4 years of relevant experience in customer-facing project environments.
Technical Skills: Proficiency in data analytics and management using Google Suite, cloud platforms, ERPs, CRMs, and familiarity with SaaS business models. Experience with SQL/Python is preferred along with familiarity in process methodologies such as Six Sigma.
Key Skills/Competency
- Data Analysis
- Customer Experience
- ESG Management
- Problem Solving
- Process Improvement
- Communication
- Data Management
- Technical Proficiency
- SQL
- Python
How to Get Hired at Conservice
🎯 Tips for Getting Hired
- Research Conservice's culture: Study their ESG platform and customer success initiatives.
- Tailor your resume: Highlight data analytics and customer service skills.
- Prepare for interviews: Review past analytical projects and SaaS experience.
- Showcase technical skills: Demonstrate proficiency in Google Suite, SQL, and Python.
- Network strategically: Connect with current employees on LinkedIn.