Angi

E-Commerce

LeadAnalyst,CustomerServiceAnalytics

€81–110k Berlin, Germany FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Analyst, Customer Service Analytics at Angi. Skills: Customer Experience Optimization, Operational Efficiency, Data-Driven Experimentation, Performance Metrics Reporting. Leverage analytics for customer expectations. Analyze customer satisfaction metrics”

What You'll Achieve.

Enhance customer experience; Improve operational productivity; Meet customer needs effectively; Improve service levels; Improve satisfaction; Enhance operational effectiveness; Ensure efficiency and business impact; Streamline data analysis; Improve team productivity; Drive measurable business outcomes; Improve processes; Improve products; Improve personnel; Achieve department goals; Achieve organizational goals

Industry & Context.

E Commerce
Problems you'll solve

Identify pain points; Proactive issue resolution; Generate insights; Actionable recommendations

What They're Looking For.

Must Have

Bachelor's or Master's degree, 8+ years data analytics experience, Customer service platforms experience, Customer service analytics tools proficiency, Analytical skills, Structure, analyze, interpret datasets, Generate insights from data, Implement strategies, Communication skills, Stakeholder management skills, Present complex data clearly

Nice to Have

Salesforce experience is a plus, People management experience is a plus, Leveraging AI tools is a plus

What You'll Do.

Leverage analytics for customer expectations

Analyze customer satisfaction metrics

Identify customer pain points

Analyze customer service data

Steward resource allocation prioritization

Guide workforce planning

Identify AI-driven opportunities

Conduct analyses of experiments

Establish performance indicators

Monitor key performance indicators

Provide regular reports

Steward data driven decision making

Help direct reports grow

How You'll Work.

Team & Collaboration

Cross-functional teams; Senior management reporting

Communication Scope

Present complex data

Full Job Description

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting We are seeking a dynamic Lead Analyst for the Commercial & Analytics - International team to play a pivotal role in enhancing customer experience and operational productivity through data-driven insights. The Lead Analyst will focus on analyzing customer service data, identifying pain points, improving products and services, and optimizing operational workflows. In this role, you will have a direct impact on customer satisfaction, loyalty, and the overall success of our operations. You’ll be responsible for stewarding the allocation of resources, managing customer feedback data, and proactively generating insights to continually enhance processes, products, and people. What you’ll do: - Customer Experience Optimization: - Leverage analytics to understand customer expectations and experiences, enabling the team to tailor services and meet customer needs more effectively. - Analyze customer satisfaction metrics such as CSAT, NPS, CES, ART, AHT, and First Contact Resolution to measure and improve service levels. - Identify customer pain points by structuring and analyzing customer feedback and complaints, addressing recurring issues proactively to improve satisfaction. - Operational Efficiency & Resource Management: - Analyze customer service data to balance speed and quality in operations, optimizing processes and resource allocation to enh

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