Analyst/Senior Analyst - Marketing Analytics - Consulting Firm

This is an opportunity into Analytics.

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Analyst/Senior Analyst Profile - Marketing Analytics

About the role :

The role is with world's largest strategy consulting Firm's Knowledge hub in India as an Analyst/Senior Analyst in the Marketing & Sales Center of Competence in Gurgaon.

Marketing & Sales practice has a dedicated group, Insights & Analytics, focused on helping clients solve complex business challenges by

leveraging insights generated from consumers. Part of this team focuses on providing deep analytic support, mining large quantities of data, and leveraging sophisticated statistical models to find insight.

The team focuses on four specific client service offerings :

- CRM/ CLM Analytics

- Pricing, Promotions, and Assortment Analytics,

- Marketing Mix Modeling

- Marketing research survey analytics.

They have extensive experience in broad range of industries, such as telecom, retail, packaged goods, banking, and consumer durables.

In role of a Senior Analyst we are looking for someone with deep experience in predictive analytic techniques, which may include propensity modeling, marketing mix modeling, price elasticity modeling, campaign optimization, behavioral segmentation, market basket analyses, Next Product to Buy analytics, etc. The Senior Analyst will work directly with client service teams . The Senior Analyst would be located in Gurgaon, India and may travel to serve clients onsite to understand their requirements, and designing / developing solutions.

Responsibilities :

The Individual would spend his/her time working with the Insights & Analytics group and consulting teams helping solve analytically complex client problems in the marketing domain, applying and administrating analytical/modeling tools and techniques and drawing managerial insights through statistical techniques and predictive modeling.

Specifically, he/she will be expected to perform the following roles:

- Perform CRM modeling in client engagements for marketing efforts, such as customer segmentation, acquisition and retention, cross-sell/upsell techniques

- Develop statistical models to measure and optimize pricing and marketing campaigns

- Provide expert advice to consulting teams on technique/modelling related issues

- Provide guidance and leadership to teams on analytics projects.

- Support development and maintenance of proprietary marketing techniques and other knowledge development projects.

Knowledge & Skills Required :

We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.

Skill Set Required : Essential

- Excellent analytical and problem solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions.

- Modelling techniques and specifically logistic Regression, linear regression, cluster analysis, CHAID, market basket analysis, etc.

- Statistical programming software experience in SAS or equivalent, and comfortable working with large data sets. SQL is also preferred

- Industry experience in Financial Services/ Telecom/ Retail is preferred In addition, candidates must also possess the following hallmarks of excellent problem solving skills, team skills, entrepreneurial ability, and strong communication skills

- Excellent written and verbal communication skills. Fluent in both written and spoken English; prior experience in a multi-national environment desirable.

- Energetic, cooperative and pleasant personality. Able to work with and coach effectively a diverse group of team members

- Flexibility, patience, and an understanding of fluid, demanding, and unstructured environments where priorities evolve constantly and methodologies are regularly challenged.

- Ability to work under pressure and deliver on tight deadlines.

Education & Previous Experience Required :

- Graduate/Post-graduate degree in Statistics/Economics/Econometrics/Computer Science/Engineering/Mathematics/ MBA (with strong quantitative background.

- 3-7 years of professional work experience with a reputed analytics firm. Ability to handle data in large volumes (data manipulation, data cleansing and matching) through tools like SAS/SQL

Ravi