Hansa Cequity - Assistant Manager - Analytics

Company Background: Hansa C Equity founded in 2007 helps companies build customer relationships using technology through exclusive marketing and analytic stands.

With a data driven marketing thinking and strategy we help companies leverage the power of technology through propriety and best in class marketing automation and analytics platforms. Our data consultants understand and unify data from multiple sources. Our analysts and customer marketing specialists glean out insights and understand our clients customers and prospects. Our campaign management and digital marketing consultants then move in to create meaningful engagements opportunities in a multi-channel environment.

Role : Assistant Manager - Analytics | Mumbai

Key responsibilities:

- Plan, Deliver, Manage the client expectations for assigned clients

- Defines the roadmap for the client delivery

- Responsible for delivery of Ad hoc Analysis, Predictive Models, Profiling, Segmentation, Insights Sharing, MIS and Dashboards

- Responsible for measuring the business ROI impact of analytical work across client accounts

- Handling multiple Clients

- Optimising work allocation by allocating the projects basis BA/Sr. BA capabilities Contribute in key client stakeholders presentation

- Providing inputs to one downs while building models/solutions

- Directly engaging with clients at an account level

- Train team on multiple stats and tool

- White Paper

- Participate in New Business Pitches

- Account ownership

- Client presentations

- Work on POCs of prospective clients

- Manage the campaign lifecycle with ownership for campaign ROIs

- Produces reports and summaries for presentation to business users and depict data graphically for inclusion in presentations

- Maintains records of project progress and revisions and coordinates project archival and documentation procedures

Qualification

- M.Sc.(Stats)/MA(Economics/Econometrics) or MBA / BE/B.Tech graduates

- 4-6 of Statistical Modelling experience with propensity modelling exposure

- Hands on experience on R /SAS data manipulation

- Client interfacing and project management skills

Core Skills:

- Excellent knowledge of statistical concepts and techniques

- Knowledge and expertise in statistical concepts

- Knowledge of multiple statistical tool sets such as SAS, SPSS (Good to Have)

- Expertise in RDBMS, SQL, Queries and Exploratory Analysis (Must Have)

- Ability to understand the client business and capture business process and events

- Keen eye for details and data visualization

- Good communication skills and strong ability to work effectively in a team environment

- Good project management skills with a focus and responsibility for flawless, timely delivery.

Soft Skills:

- Ability to work effectively in an environment involving multiple team members and possess ability to further team collaboration

- Open to a knowledge sharing framework by contributing effectively through training sessions

- Capability to perform multiple tasks simultaneously in a fast paced environment 

- Zeal and enthusiasm to ensure that the task at hand is taken to execution in the given timeframe and with the minimum quality standards

- Ability to work independently with very minimal supervision