Business Systems Analyst

Purpose and Overview

As a Business Systems Analyst, the candidate will need to have a strong analytical mindset and excellent communication skills. They should be able to effectively gather and analyze data, identify trends and patterns, and provide actionable insights to drive business growth. The ideal candidate will also have a solid understanding of technical solution design and enterprise solution design, as well as experience in systems analysis and technical architecture.

This is a full-time, on-site position based in Hyderabad (Telangana). The candidate should possess at least a Bachelor's/College Degree and have a minimum of 10 years of experience in business systems analysis.

Responsibilities

• Translate business problems from your supported organization or functional area into analytical solutions and insights. 
• Provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.
• Work closely with product and engineering teams to analyze impact on product or Google-wide metrics (including daily activities, retention, churn).
• Collaborate with Consumer and Engineering teams to write complex code, and implement tools to improve troubleshooting efficiency and the end user experience.
• Manage stakeholder expectations and communicate with internal teams and external consumers, advertisers, and publishers to provide technical and business feedback as well as deliver technical solutions.

Requirements

Minimum Qualifications:

• 10 years of experience in architecting, and implementing full-scale master data management and data warehouse systems.
• Experience working with web-scale databases, Columnar/NoSQL technology, API frameworks, and SQL.
• Experience with SQL Pipelines, Data Analytics, and Data Visualization from solution design.
• Experience managing projects and creating Software Development Lifecycle (SDLC) artifacts.

Preferred Qualifications:

• Experience working with advanced analytics solutions, including machine learning and statistical analytics.
• Experience with third-party Enterprise Resource Planning (ERP) applications within Finance, Supply Chain, HR, Marketing, etc.
• Understanding of one or more data management practices such as Data Integration, Data Security, Metadata Management, Data Governance and Data Quality.

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