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Skill Set

Skillset (Tools) :

Tech - Concepts : 

Non-Tech - Concepts : 

  1. Database Languages : SQL, No SQL, Postgre SQL , SPARK SQL , Redshift

  2. Visualisation tools : Redash, PowerBI, Tableau, Google Data Studio

  3. Reporting Tools - Excel (Advanced), Google Sheets, Google slides, Power Point

  4. Programming Languages : Python , Java

  5. CRM Tools : Braze, Leanplum , Pipe Drive, Sales force

  6. Database GUI : Workbench, Redash, Apache Superset, Dbeaver

  7. Programming GUI : Anaconda, Eclipse, Google Colaboratory

  8. Operating System : MacOS, Windows

  9. Methodologies : Agile , Waterfall

Statistics/Machine Learning : 

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  1. Statistical Significance Tests - T-test, A/B Test, Anova Test

  2. Correlation Co-efficient 

  3. Clustering and Segmentation using K-means, silhouette Coefficient 

  4. RFM Model for the demand scores

  5. Python - Numpy, Pandas, Data Frames

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Programming and Databases: 
 

  1. Programming - OOPs, Functions, Classes

  2. Database - Joins, Group & Order by, Subqueries, Partition by, Percentile Rank , Dense Rank

Marketing - 

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  1. CRM 

  2. Loyalty Program

  3. Referral Program

  4. Ad-Campaigns

  5. MMM - Media Mix Modelling

  6. MLM - Multi level Marketing

  7. CAC - Customer Acquisition Cost

  8. CLTV - Customer Life Time Value

  9. Retention Rate/Churn Rate

  10. Funnel Management

  11. User Funnel - Conversion Rate

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Finance Analytics : 

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  1. COGS - Cost on Goods Sold

  2. EBITDA - Earnings Before Interest, Taxes, Depreciation, and Amortisation

  3. P&L Management - Profit & Loss

  4. Financial Modelling & Projections

  5. Revenue Modelling & Budget Allocation

  6. Insurance

  7. Target vs Actual

  8. KPI Monitoring - Key Performance Index Monitoring

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Commercial : 

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  1. Go To Market Strategy

  2. Business Development

  3. ROI - Return on Investment

  4. Guerilla Marketing

  5. Affiliate Marketing

  6. Revenue Per Click

  7. Merchant Quality Algorithm

  8. Growth 

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Business Analytics : 

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  1. Incentive Program

  2. Pricing 

  3. Promotions, Coupons & Discount Strategy

  4. Operational Efficiency

  5. Process Improvement

  6. A/B test, T-Test, Z-Test

  7. Revenue Management Strategy

  8. Data Analysis

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