Summary: The Data Analyst role requires a seasoned professional with over six years of experience in data analytics and related fields. The position emphasizes the ability to translate complex data insights into actionable recommendations for non-technical stakeholders, particularly in customer experience metrics. Candidates should be proficient in data querying languages and statistical analysis techniques, with a strong focus on customer feedback and operational metrics.
Key Responsibilities:
- Analyze data to derive insights and support decision-making processes.
- Utilize SQL and statistical analysis methods to query and interpret data.
- Communicate complex data findings to non-technical stakeholders effectively.
- Work with Customer Experience metrics, including NPS and CSAT.
- Evaluate customer support operational metrics.
- Apply statistical analysis techniques using tools like R or Python.
Key Skills:
- 6+ years of experience in data analytics or related analytical roles.
- Proficiency in SQL and statistical analysis methods.
- Experience in data-led storytelling and conveying insights to non-technical audiences.
- Familiarity with Customer Experience metrics and customer feedback analysis.
- Knowledge of customer support operational metrics.
- Experience with R, Python, or similar scripting languages/tools.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Required Qualifications
6+ years of experience in data analytics, data science, or related analytical roles.
6+ years of work experience in analytics, data querying languages such as SQL, and statistical analysis methods
Experience with data-led storytelling and demonstrated experience in conveying complex insights to non-technical stakeholders
Experience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback
Experience working with customer support operational metrics
Experience with statistical analysis techniques and utilizing R, Python, or similar scripting languages/tools.