Senior Analyst

Job Description Summary

The Senior Business Analyst is primarily responsible for supporting a team dedicated to the accounting function for Lowe s US operations. The principle purpose of the Senior Business Analyst is to work with the Business leaders in delivering impactful data driven analytics support to the COA office. This position is responsible for designing the report to business needs with analytical best practices, facilitate to analyze results and identify insights for decision making. A substantial amount of technical knowledge is needed to support the various user requests and special projects.

This is accomplished by utilizing advanced tools and methods to leverage various financial data. A goal of this position is automation of processes and enhancements of existing business analytics. To accomplish this, the Analyst must have decent knowledge of cost and financial analytics, be proficient in MS Excel, SQL, Teradata, Knime/Alteryx, Power Apps, Power Query, Power BI, Hadoop (Big data), Google Cloud Platform, Python, R etc.

The Senior Business Analyst will collaborate directly with various areas of accounting teams and other areas of the Business in order to ensure Inventory, Revenue and Margin are reported accurately both from an Operational and Financial perspective.

Core Responsibilities

• Partner with domain leaders to understand the requirements
• Research and document the requirements in collaboration with IT Finance
• Develop wireframes and seek feedback from end users
• Propose and present solution / analysis / recommendations to end users
• Create solutions addressing the specific challenge using various tools
• Create and maintain documentation of processes
• Act as a consultant to end users for recommendation on tools and technical feasibiliity

Minimum Qualification / Skillset

• 5+ years of experience in the domain of Reporting & Analytics / Power BI Development
• Bachelors Degree in Finance, Accounting, Analytics, Engineering or Business Intelligence
• Post Graduate in Finance/ Business Analytics will be an added advantage
• Experience working with multiple stakeholders across locations.
• Understanding of relational databases - Teradata, IBM DB2, Hadoop, Google Cloud Platform
• Expertise in SQL - DDL & DML - Joins, Partition, Update, Stored Procedures, Query tuning, etc
• Advance MS Excel experience
• Exposure to ETL tools like Alteryx and Knime
• Experience with Business Intelligence and Reporting tools, preferably in Power BI, Dart, Microstrategy
• Ability to create charts/visualization that aptly represents the trends and analysis
• Analytical mindset to understand and solve complex business problem

Role: Data Science & Machine Learning - Other

Industry Type: Retail

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate