Responsibilities:

Gathering and organizing data from various tools and sources, ensuring data accuracy, consistency and completeness.
Visualising and presenting the data into digestible dashboards and using such dashboards to infer insights and trends related to the user base.
Using statistical theories, analysis and tools to interpret data sets, identify trends and derive meaningful conclusions.
Translating the trends and insights into growth strategies and tactics, with the aim of building a healthy user funnel and reaching product-market-fit.
Reviewing data sets of other teams, recommending business improvements across across other parts of the funnel.
Reporting findings, analyses, and recommendations through clear and concise reports and presentations,  documenting findings using the knowledge management platform.

Requirements:

 Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
 +3 years of proven experience as a Data Analyst, with a focus on analyzing large datasets.
 Strong analytical and problem-solving skills.
 Excellent communication and presentation abilities.
 Ability to work independently and as part of a team.
 Familiarity with visualization tools (Power BI, Superset).
 Previous experience with the WebEngage tool is plus.
 Utilising various technologies and data analysis software including Python, SQL, Metabase and Power BI to   build funnels and dashboards.
 Evaluating and recommending new data tools and technologies for improved analysis and reporting.