As a senior data analyst in the team, you will have unique opportunity to leverage the power of technology, big data and analytics to improve the lives of the 100M+ households that shop at Walmart every year. This role will specifically support customer data.

Our ideal candidate is a sharp, thoughtful, and collaborative problem solver This position requires equal aptitude and enthusiasm executing these four critical functions:

Complex analysis of and in-depth understanding of functional business processes and data that enable business.

Understanding the existing database design (logical/physical) that support complex business processes/applications

Authoring advanced SQL to effectively query and navigate across multiple data domains to produce data analysis findings. Able to use complex joins, subqueries, analytical functions to return clean, comprehensive, and relevant datasets.

Collaborate with project team members to include other data analysts and technical/database leads providing insights into data issues driving business decisions and processing events.

Qualifications:

    Contribute to data visualizations and reporting and communicate clearly to technical and non-technical audiences.
    Direct and oversee complex issue resolution in a cross-team environment. Develop alternate solutions to solve data issues.
    Understand data repositories and their ETL and data management processes to include source to target mappings, business and transformation rules and data consuming systems.
    Troubleshoot and diagnose data quality issues and anomalies and offer data finings and analysis outcomes.
    Self-learner and eager to understand data, business processes, concepts, and technologies.
    Familiarity with Agile SDLC methodologies
    Collaborate with project team members to include other data analysts and technical/database leads providing insights into data issues driving business decisions and processing events.

You will make an impact by:

    Work with executives and other business leaders to identify opportunities for improvement
    Create reports for internal teams and/or external clients
    Collaborate with team members to collect and analyze data
    Use methods to visualize data
    Establish KPIs to measure the effectiveness of business decisions
    Structure large data sets to find usable information
    Work with a team of analysts and other associates to process information
    Create presentations and reports based on recommendations and findings

Nice to haves/preferred skills:

    Data Visualization.
    Data Cleaning.
    R.
    Python.
    SQL and NoSQL.