Senior Data Analyst - eCommerce

Job Description: Senior Data Analyst
 
Education :

- At least a graduate (Data Science, Data Analytics, Engineer, Mathematics, Statistics, Economics or any other related quantitative field)

Work Experience :

Overall: 6 years or more

(most recent role) Data Analyst or Data Scientist: 3 years or more

People skills :

- Experience of managing a team of at least 2-3 people

- Ability to independently drive the team towards the planned goals/ tasks

- Ability to take the team along on a strong growth trajectory

Skills/ Knowledge :

Must haves:

- Good conceptual knowledge of Data Warehousing concepts

- Created or contributed (minor contribution is also acceptable) to creation of, at least, one data warehouse model

- Familiarity with Relational Databases and schema

- Worked on creating BI Dashboards / Reports

- Basic analytical and critical reasoning skills

- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly- both, verbally and in written form

- Strong analytical and problem solving skills

- Good and quick with basic mathematics- numerical calculations, percentages, ratios and proportions

- Sound conceptual understanding of fundamentals of statistics

- Good data investigative skills i.e. ability to ask a series of sensible questions to draw strong conclusions from any data at hand

- Ability to prepare/ transform data into desired format to meet analysis goals

- Ability to present data (e.g. summaries, tables, statistical measures, model results) in an easily digestible, coherent and actionable format

Good to have :

- Knowledge of predictive modeling

- Ability to independently create high-impact dashboard outlines/ wireframes

- Knowledge of APIs, JSON file structures

- Knowledge of Data Pipeline/ ETL process

- Familiarity with NoSQL Databases

- Columnar Databases: Cassandra, HBase,

- Document Databases: MongoDB, Couchbase

- Key-value stores: Redis, MemcacheDB

- Graph Database: Neo4j

- Prior exposure in learning domain

- Tools: knowledge of analytical tools/ packages

Must haves:

- Ability to work hands-on with SQL queries. MS Excel or Google Sheets- advanced knowledge

- Good at making presentation using Powerpoint/ Google Slides

- Hands-on exposure to a at least one programming language

Hands-on experience with either R or python for analytics- fundamentals need to be clear; detailed knowledge not essential

- Analytics R using: R software, RStudio IDE

- Analytics Python using: jupyter notebooks, anaconda, miniconda

- Hands-on working experience with BI tools

- (any of) Google Data Studio, Tableau, Power BI, Oracle BI

- Good to have (plus point)- hands on experience with:

- Google Data Studio

VBA :

- Python

- Jupyter notebooks

- Google Cloud Platform

- Google Big Query

- Operating System

Good to have :

- uses/used Linux OS (e.g. Ubuntu)

- done analytics/ used analytics tool (e.g. R/ RStudio/ python/ jupyter notebooks/ anaconda/ miniconda) on Linux OS (e.g. Ubuntu)