Customer Analytics

4 weeks ago


Bengaluru, Karnataka, India Tiger Analytics Full time
Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We're Great Place to Work-Certified. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

About the role:
As

Sr. Consultant – Analytics Consulting , you will help translate business problems into unambiguous analytic problem statements and design analytical frameworks to address them. Lead our efforts in delivering data driven decisions that will guide in designing and delivering exceptional omnichannel experience. In this role, you will play a crucial part in understanding and optimizing the digital experiences of our customers across various channels. Your primary responsibilities will include:

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.
Location:
Chennai, Bangalore, Hyderabad & Remote

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.

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