Expertise :
Education : Statistics or data science graduate. Additional expertise in tech or business.
Technology :
(i) R programming
(ii) SQL & Databases
(iii) Python
(iv) Azure & Power BI
(v) Use of statistical software like SAS
Experience of applying the same for marketing function
1. Data preparation, cleaning etc
2. Hypothesis testing & RCTs
3. Adjusting for confounding factors in measurements in natural experiments
4. Propensity modelling, Clustering for segmentation
5. Basic analysis of marketing & customer landscape
Job Description :
- Setup measurement cycle : Receive hypothesis from campaign team
- Setup measurement to test hypothesis
- Measure output
- Provide insight to campaign team
Descriptive analysis like :
1. Customer landscape
2. Segmentation
3. Trend analysis
4. Business mobilization
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