Principal AI Customer Experience Analyst
Company | Hartford Financial Services |
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Location | Hartford, CT, USA |
Salary | $136560 – $204840 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in computer science, Information Systems, Marketing, or a related field.
- Experience in data analysis, customer insights, web analytics, and digital marketing.
- Proficiency with analytics tools such as Google Analytics, Adobe Analytics, or similar.
- Proven experience in analyzing customer data and generating insights.
- Expertise in programming languages like SQL (complex queries), Python, Scala.
- Proficient in integrating diverse data sets from multiple platforms to derive valuable insights.
- Data Mappings, Functional Specs, Data Design/ Data Modeling, Data Visualization and Analytics (Tableau, ThoughtSpot), Data Warehousing and Data Analysis (Oracle, SQL, PL/SQL, SCDs).
- Exposure to Machine Learning: Recommender systems, dimensionality reduction & unsupervised learning, linear methods, tree-based & non-parametric methods.
- Cloud/Big Data: AWS, GCP big query, Spark, Airflow.
- Exposure to Statistical Methods: MCMC/Empirical Bayes, A/B & hypothesis testing, experiment design, bandit methods.
- Visualization: matplotlib/seaborn, plotly, Tableau.
- Strong critical thinking and analytical skills.
- Excellent communication skills to explain complex data to non-technical stakeholders.
- Ability to work collaboratively in a team environment.
- Detail-oriented with a focus on accuracy and data integrity.
Responsibilities
- Develop a deep understanding of our diverse customer segments and the digital channels they utilize (web, mobile, text, chat/chatbot, email, etc.).
- Investigate the complete customer journey, identifying unmet needs and opportunities for enhancing digital channel usage.
- Discover insights, trends, patterns and friction points that will enable The Hartford to promote and drive digital engagement, usage and adoption.
- Work with the data engineering teams to build comprehensive customer data domains and products to enable 360-degree view on customer experience.
- Facilitate the accessibility of digital/customer data to support other analytic functions and business partners across The Hartford, operating in a matrixed capacity.
- Encourage a culture of curiosity and continuous improvement within the team.
- Provide insights related to The Hartford’s digital and connect platforms (web, mobile, text, chat/chatbot, email, calls etc.), which are used by millions of users and represent a significant growth area for the company.
- Connect insights from various data sets to effectively tell the story of the customer.
- Develop and maintain dashboards and reports for key stakeholders.
- Communicate complex digital customer data journey in a clear and concise manner to non-technical stakeholders.
- Champion the development and enhancement of our robust customer data ecosystem at The Hartford.
- Drive a pivotal area to advocate for and enable the build and maturity of the customer domain, integrating data from various systems.
- Lead a team of digital and customer analysts, provide technical guidance and mentorship.
- Leverage AI techniques to analyze large datasets, uncover hidden patterns, and provide data-driven recommendations for improving customer experience.
- Work with cross-functional teams to determine and achieve business objectives.
- Stay up to date with industry trends and implement best practices.
Preferred Qualifications
- Previous experience in a customer experience or related role.
- Familiarity with cloud platforms such as AWS or GCP.
- Experience with big data tools like Spark and Airflow.
- Proficiency in data visualization tools like Tableau or Plotly.
- Knowledge of statistical methods and experiment design.
- Proven track record of driving business growth through data-driven insights.
- Familiarity with creating and maintaining customer journey maps.
- Experience with Voice of the Customer programs and methodologies.
- Proficiency in advanced analytics techniques and tools.