About the Role
Job Location
Remote
Employment Type
Full Time
Requirements
Programming Skills – Knowledge of statistical programming languages such as R and Python
Data Wrangling – Proficiency in handling imperfections in data
Visualisation – The art of telling an amazing story with the help of charts or insights could be a game changer
Statistics – Good application of statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, and so on.
Excellent Communication Skills – Comfortable in describing findings to a technical and non-technical audience
Team player – Being a good team player come in handy to successfully execute an end-to-end project
Roles & Responsibilities
Connect and extract information from various databases containing structured and/or unstructured data
Consolidate, clean, normalise from a large inventory and often spread across places, including text files
Calculate relevant KPIs with the help of available data along with possible drill-downs
Establish data-driven insights into patterns, correlations, and opportunities for impact
Select thresholds and put together alerts for respective stakeholders for decisions
Draft an intriguing story via various charts/features /interactions available in visualisation tools
Collaborate with Business and IT teams to deploy the solution at scale
Career Path
Data Analyst – Trainee (avg. 6 months)
Data Analyst (avg. 1 year)
Sr. Data Analyst (avg. 2 years)
Manager – Data Analytics (avg. 2 years)
Director – Data Analytics
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