Assistant Manager

Responsibilities

• Participate and collaborate with Sales and Marketing teams in the organization to understand the business requirements and to deliver scalable solutions

·         Analyze user behavior, conversion data, customer journeys to generate hypotheses and build optimization plans and provide insights for feature improvements

·         Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies

·         Continuously think about how to improve the analytics infrastructure for the team and automate processes

·         Perform deep-dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents

·         Provide thought leadership within the marketing analytics community

Qualification we seek in you!

Minimum Qualifications/skills

• Education in Statistics, Mathematics, Computer Science, or another quantitative field.

·         Relevant working experience

·         Knowledge of a variety of machine learning and Statistical techniques (Regression, Statistical Tests, Properties of distributions, Clustering, CART, SVM, etc.) and their real-world advantages/drawbacks.

·         Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

·         Experience in creating AI/ML models for Marketing use cases

·         Experience in using industry-standard AI/ML libraries i.e. Sklearn, Keras, Tensorflow, AutoML, etc.

·         Experience in working on Marketing Analytics

·         Excellent communication & presentation skills

·         Good exposure in the Marketing analytics domain for a Fintech-based client and should be able to break the problem into small chunks

·         Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection

·         Ability to use creativity to spot trends and tease out patterns in large datasets

·         Good analytical and problem-solving skills, and ability to set goals and meet deadlines in a fast-paced working environment

Preferred Qualifications/skills

• Knowledge of Hadoop/Hive is good to have