Job Position : Customer Analytics

Open Level : Sr Consultant

Locations : Chennai / Bangalore / Hyderabad - Hybrid Mode

Experience : 4 - 10 Years

Notice Period : 0-30 Days / Immediate Joiners

Key Responsibilities :

- Understand Customer Segments & Digital Channels: Develop a deep understanding of our diverse customer segments and the digital channels they utilize (web, mobile, text, chat/chatbot, email, etc.).

- Analyze Customer Journeys: Investigate the complete customer journey, identifying unmet needs and opportunities for enhancing digital channel usage.

- Drive Digital Adoption: Discover insights, trends, patterns and friction points that will enable to promote and drive digital engagement, usage and adoption.

- Customers experience data domains and products: Work with the data engineering teams to build comprehensive customer data domains and products to enable 360-degree view on customer experience.

- Democratize Data Access: Facilitate the accessibility of digital/customer data to support other analytic functions and business partners.

- Foster Curiosity & Improvement: Encourage a culture of curiosity and continuous improvement within the team.

- Omni channel Insights: Provide insights related to digital platforms (web, mobile, text, chat/chatbot, email, etc.), which are used by millions of users and represent a significant growth area for the company.

- Synthesize Data to Narrate Customer Stories: 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.

- Collaborate with Cross-Functional Teams: Work with cross-functional teams to determine and achieve business objectives.

Desired Skills, Competencies and Experience :

- 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.

- 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, Tabl

- 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.

Preferred Experience :

- Experience with machine learning techniques and frameworks.

- 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.