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Lead Analyst, Customer Service Analytics(m/w/x)
Analyzing customer service data for home services industry, optimizing workflows with CSAT, NPS, CES, ART, AHT, and FCR. 8+ years data analytics experience required. Hybrid work, temporary work from abroad policy.
Requirements
- Bachelor's or Master's degree in relevant field
- 8+ years data analytics experience
- Customer service platforms experience (Salesforce plus)
- Customer service analytics tools proficiency
- Strong analytical skills
- Structuring, analyzing, interpreting large datasets
- Generating insights from data
- Implementing strategies for business outcomes
- Excellent communication skills
- Excellent stakeholder management skills
- Presenting complex data clearly
- People management experience (plus)
- AI tools experience (plus)
- Data visualization tools proficiency
- Analytics tools proficiency
- Customer-centric industries experience
- Customer experience improvement focus
Tasks
- Analyze customer service data to enhance customer experience
- Identify customer pain points from feedback and complaints
- Measure and improve service levels using CSAT, NPS, CES, ART, AHT, and FCR
- Optimize operational workflows for speed and quality
- Prioritize resource allocation for inbound and outbound tasks
- Guide workforce planning for debt collection and customer retention
- Implement AI-driven solutions to streamline data analysis
- Conduct proactive and reactive experiment analyses
- Provide actionable recommendations based on statistical results
- Evaluate outcomes to suggest process, product, and personnel improvements
- Monitor KPIs for operational success, including AHT, cycle times, and satisfaction scores
- Report actionable insights to senior management
- Support data-driven decision making for departmental goals
- Mentor direct reports and identify professional development needs
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Salesforce
- Looker
- SQL
- Python
- Cursor
- Claude Code
Benefits
Flexible Working
- Hybrid work environment
Additional Allowances
- Hybrid allowance
Workation & Sabbatical
- Temporary work from abroad policy
Team Events
- Regular team and social events
Bonuses & Incentives
- Referral bonus
Other Benefits
- Location-dependent benefits
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Lead Analyst, Customer Service Analytics(m/w/x)
Analyzing customer service data for home services industry, optimizing workflows with CSAT, NPS, CES, ART, AHT, and FCR. 8+ years data analytics experience required. Hybrid work, temporary work from abroad policy.
Requirements
- Bachelor's or Master's degree in relevant field
- 8+ years data analytics experience
- Customer service platforms experience (Salesforce plus)
- Customer service analytics tools proficiency
- Strong analytical skills
- Structuring, analyzing, interpreting large datasets
- Generating insights from data
- Implementing strategies for business outcomes
- Excellent communication skills
- Excellent stakeholder management skills
- Presenting complex data clearly
- People management experience (plus)
- AI tools experience (plus)
- Data visualization tools proficiency
- Analytics tools proficiency
- Customer-centric industries experience
- Customer experience improvement focus
Tasks
- Analyze customer service data to enhance customer experience
- Identify customer pain points from feedback and complaints
- Measure and improve service levels using CSAT, NPS, CES, ART, AHT, and FCR
- Optimize operational workflows for speed and quality
- Prioritize resource allocation for inbound and outbound tasks
- Guide workforce planning for debt collection and customer retention
- Implement AI-driven solutions to streamline data analysis
- Conduct proactive and reactive experiment analyses
- Provide actionable recommendations based on statistical results
- Evaluate outcomes to suggest process, product, and personnel improvements
- Monitor KPIs for operational success, including AHT, cycle times, and satisfaction scores
- Report actionable insights to senior management
- Support data-driven decision making for departmental goals
- Mentor direct reports and identify professional development needs
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Salesforce
- Looker
- SQL
- Python
- Cursor
- Claude Code
Benefits
Flexible Working
- Hybrid work environment
Additional Allowances
- Hybrid allowance
Workation & Sabbatical
- Temporary work from abroad policy
Team Events
- Regular team and social events
Bonuses & Incentives
- Referral bonus
Other Benefits
- Location-dependent benefits
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Angi
Industry
Other
Description
Angi connects homeowners with reliable pros for home services, facilitating over 300 million projects worldwide.
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