Company Name:-
GO-JEK

Job Location:-
Bengaluru, Karnataka

Job Summary:-
About the Role
As our Business Intelligence Analyst, you’ll be an instrumental player in the GoFood team based in Bengaluru.

Collaborating with the Business and Product teams, you’ll focus your efforts on supporting the analytics and data products (automated dashboards, reports, alerts, and simulation tools) which aim to create business impact at scale.

Specifically, you’ll conduct general analysis on each new feature/product, dive deep into understanding user behavior insights to make sound business decisions, and provide data visualizations to track GoFood’s overall performances.

Your efforts will aid GoFood at a level of detail that enables our stakeholders to identify and address critical issues and align deliverables according to the team’s priorities and requirements.

What You Will Do
Craft strategic initiatives for GoFood that are focused on analysis and experimentation; work closely with the Content & Quality streams to improve the platform’s user experience
Deliver insight and analysis using statistical tools, data visualization, and business use cases with the Product and Business teams
Conduct analysis to determine new project pilot settings, new features, user behavior, and in-app behavior
Build & maintain dashboards for tracking business performance and product adoption
Assist Product Managers and Business teams in creating data-backed decisions
Collaborate with GoFood’s Product and Business teams in identifying new avenues for growth and opportunities, and back their product delivery with experimentation
Build first cut Machine Learning models based on product requirements
Automate data extraction by creating de-normalized tables
What You Will Need
At least 4 years of work experience dealing with product analytics, data, and statistics
Expertise in SQL with experience using data visualization and dashboarding tools (e.

g.

Tableau, Metabase, Google Data Studio, Clevertap, Python)
Experience in Machine Learning technologies (i.

e.

forecasting, clustering, statistical significance test, predictive modeling, and text mining)
Experience in delivering products as end-to-end data solutions (from data pipelining to analysis, presenting, and scalable adaption)
A strong business sense with the ability to tran

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