Advanced Analytics - Manager

Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Advanced Analytics,  Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together.

1. Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources.
2. Developing and executing attribution and measurement projects.
3. Ensuring timely follow through on all scheduled and ad hoc deliverables.
4. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality.
5. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person.
6. Understanding of consumer and marketplace behaviours, particularly those that most impact business and marketing goals.
7. Able to work successfully with teams, handling multiple projects and meeting client expectations.

1. 9-12 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects.
2. Strong command of both technical and non-technical communication, with an ability to simplify complex data science concepts for diverse audiences.
3. Proven experience (minimum of 8 years) in data science, including architecting solutions and mentoring team members.
4. Expertise in Python (including libraries such as Pandas, NumPy, Scikit-learn) and advanced statistical and machine learning techniques.
5. Deep understanding of cloud-based data platforms (e.g., AWS, Azure, Databricks) and proficiency in SQL for data querying and manipulation.
6. Strong background in building machine learning pipelines, from data preprocessing to model deployment, with experience in model monitoring and maintenance.
7. A passion for continuous learning and staying updated on industry advancements, with a proactive approach to integrating new tools and methodologies.
8. Bachelor's or master's degree in data science, statistics, mathematics, computer science, or a related field (or equivalent experience).