Job Description:

The Data Analytics team - Financial Services, Credit cards, Banking Retail, Pharma, Healthcare, Telecom etc, to provide the following analytics solutions:

- Marketing Analytics

- Supply Chain Analytics

- Social Media Analytics

- Pricing Analytics

- Risk Analytics

Customer Analytics

Predictive analytics

- Established competency in one or more of the following:

a) Financial Analysis

b) Business Analysis

c) Statistical Modeling

- Strong Analytical aptitude and logical reasoning ability

- Strong presentation and communication skills.

- Strong process/project management skill

- Knowledge of analytical tools such as SAS/SQL and complex data sources

- Experience in one or more financial services/CMT/ Retail/ FMCG/ Oil & Gas /Natural Resources businesses

- The data analytics team works across the entire analytics value chain to support clients with basic reporting/dashboarding, to predictive modeling, and then forecasting and optimization.

Education:

- BE/BTech / Masters in a numerate subject such as Statistics, Economics Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability

Key Competencies and Characteristics:

- Proficiency in one or more of analytical tools such as SAS product suite (Base Stat, E-miner, SAS EGRC), SPSS, SQL, KXEN and any other statistical tools such as R, Matlab etc.

- Advanced Excel including VBA and PowerPoint skills

- Consulting skills and project management experience is preferred

- Excellent communication and interpersonal skills

- Ability to tie analytic solutions to business/industry value and outcomes

Experience:

- 1-7years of analytics overall experience, including at least 2 years of quantitative analysis

- Hands on experience in Predictive analytics projects involving statistical modeling, customer segmentation etc.

- MS in Statistics, Data Mining, Econometrics or related fields or MBA (Preferred)

- Exposure to US/ overseas Markets is preferred

As a Analyst / Consultant you will be responsible for:

- Develop methodologies to support Customer Analytical project execution

Develop predictive analytics based solutions for:

- Customer Segmentation

- Statistical Models across customer Lifecycle

- Attrition / Cross-Sell / Upsell Propensity Models

- Customer Lifetime Value

- Pricing Analytics

- Web Analytics

- Apply appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis and so on

- Develop and articulate strategic recommendations based on rigorous data analysis

- Partner with client teams to understand business problems and marketing strategies

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