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Business Intelligence Analyst
Job Description

About the Role

As our Business Intelligence Analyst, you’ll be an instrumental player in the team-based. 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) that 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 Customer Support experience overall performances. Your efforts will aid the Customer Support experience 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 Customer Support experience 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 web-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 Customer Support experience 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, PowerBI)
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 transform ambiguous business and product issues into well-scoped, impactful analysis
Strong ability to design and conduct simple experiments
A goal-oriented, critical-thinking mindset with the ability to work equally well within a team and independently with minimal supervision