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Senior Customer Experience Data Analyst
Remote San Diego, CA 92101 US
Job Description
Target Pay Rate: 39-48.75/hr **salary will be commensurate with experience
Summary:
Our team is looking for a Senior Customer Experience CX Data Analyst. The person in this role will leverage your expertise in data analysis SQL and statistical modeling to provide actionable insights that enhance customer experience and drive business decisions. You will work closely with cross-functional teams to analyze customer data identify trends and deliver strategic insights that inform guide and influence short- and long-term business decisions across functions. The ideal candidate will be passionate about customer experience curious for uncovering new trends and insights highly analytical and detail oriented and a strong problem-solver who thrive in solving challenges independently.
Key Responsibilities:
- Design and analyze customer centric metrics to build insights and recommendations for improving customer experience.
- Conduct moderate to complex statistical analysis as it relates to customer engagement and lifecycle behavior including descriptive statistics correlation regression and predictive models to assess the impact of various factors on customer satisfaction and loyalty.
- Transform research findings into actionable insights and effectively communicate recommendations to both technical and non-technical audiences across the organization.
- Establish performance dashboards to track our progress along the customer journey.
- Build scalable processes and systems that enable stakeholders to leverage data and act upon insights.
- Maintain in-depth knowledge and understanding of different research methodologies and data analysis techniques.
- Keep internal clients proactively informed on the progress of projects.
- Listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.
Requirements:
- Bachelors or Masters degree in Mathematics Statistics Data Science Economics Business Analytics or a related field.
- Proven experience 3 years in data analysis with a focus on customer experience commercial and operations finance or related fields.
- Strong proficiency in SQL with the ability to write and optimize complex queries.
- Knowledge of statistical analysis including regression analysis hypothesis testing and predictive modeling and experience with statistical tools e.g. R/Python.
- Experience with data visualization tools Tableau preferred.
- Excellent analytical and problem-solving skills organized with high attention to detail.
- Ability to communicate effectively and succinctly across multiple technical and non-technical business units.
Preferred Qualifications:
- Familiarity with customer experience metrics like NPS CSAT and CES.
- Experience in VoC analytics customer insights market research or similar fields.
- Familiarity with NLP Natural Language Processing concepts and tools.
- Experience in programming languages such as Python or R for statistical analysis.
- Experience with CRMs and continuous process improvement.
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
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