TransOrg - Analytics Specialist

COMPANY DESCRIPTION:

TransOrg is a niche player in the area of Analytics and Targeted Campaign Management. Analytics is the science of uncovering deeper, hidden relationships from within data to make more efficient and effective decisions. It leverages smart technologies, predictive modelling, quantitative and statistical tools & techniques. Analytics is a nascent field in India, with a huge potential to grow in the next five years.

TransOrg provides analytics solutions and services in the areas of marketing, supply chain and risk management. We work with clients across industries such as retail, consumer goods, healthcare, BFSI, telecom, travel and hospitality.

Our team has strong academic credentials and work experience with reputed organizations such as American Express, Accenture, ICICI Bank, HP, FINO, Qualcomm, Exl-Inductis, Cognizant Technologies (Market Rx), ZS Associates, Infosys, Trendwise Analytics.

Visit www.transorg.in for greater details.

INDUSTRY: Information Services

JOB TITLE: Analytics Specialist (Business)

EXPERIENCE: Entry-Level

JOB FUNCTION: Analytics Specialist

EMPLOYMENT TYPE: Full-time

JOB DESCRIPTION:

1. Work as a member of the project team on analytics projects

2. Independently lead modules, if required

3. Work with high-volume and multi-dimensional data from different sources

4. Solve analytical problems through quantitative methods

5. Build predictive models using analytics tools

6. Identify and analyze target segments

7. Execute campaigns using campaign management tools

8. Perform regular and ad-hoc business analysis

9. Understand client’s priority areas and business challenges to recommend solutions

10. Present recommendations to senior management

DESIRED SKILLS AND EXPERTISE:

1. 1 to 2 years of work experience preferably in the area of ‘Analytics and Campaign Management’

2. Background in engineering/IT, MBA, Statistics, Economics

3. Strong analytical and quantitative skills

4. Ability to understand data tables, schema, link data tables and move data

5. Experience in statistical analysis techniques

6. Experience in data-warehousing, ETL, Business Intelligence and Reporting

7. Problem solving skills and ability to work with large amount of data

8. Good communication and relationship management skills