Wal-Mart Bentonville , AR 72716
Posted 2 months ago
What you'll do...
Position: Senior Data Analyst
Job Location: 2914 SE I St., Bentonville, AR 72712
Duties: Data Source Identification:
Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g., SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success to support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.
Data Strategy: understanding business value and relevance of data and data enabled insights/decisions; Appropriate application and understanding of data ecosystem including data management, data quality standards and data governance, accessibility, storage and scalability, etc. Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To translate/ co-own business problems within one's discipline to data related or mathematical solutions.
Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. Data Visualization:
Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets.
Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influences the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments.
Perform data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To promote and educate others on data quality awareness. Profile, analyze, and assess data quality.
Interpret company and regulatory policies on data and educate others on data governance processes, practices, policies, and guidelines. Exploratory Data Analysis: Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python; Statistical techniques (for example, mean, mode, median, variance, standard deviation, correlation, and sorting and grouping); Research analysis standards and activities; Documentation procedures such as drafting, editing, Bibliography format; Relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python; KDD industry best practices and emerging trends to collect and tabulate data and evaluate results to determine accuracy, validity, and applicability.
Minimum education and experience required: Master's degree or the equivalent in Analytics, Business, or related field; OR Bachelor's degree or the equivalent in Analytics, Business, or related field plus 2 years of experience in data analysis or related experience.
Skills Required: Must have experience with:
Formulating complex SQL queries in MySQL/SQL Server to fetch relevant data for analysis and reporting; Analyzing business KPIs to identify trends/anomaly in the regular business flow; Designing dashboards using tools like Tableau, PowerBI, Salesforce to identify trends in business; Developing automated reports in Python/Salesforce/Excel VBA to monitor business performance; Performing ETL using Python by extracting and merging data from multiple sources and pushing it on the cloud; Performing Statistical analysis to generate business insights; Presenting the analytical findings to various stakeholders to assist in business decision making; Building scripts using Python/Excel VBA/Google Ascription to automate the tedious day to daytime consuming tasks; Communicating with multiple business stakeholders and understanding their requirements/pain point to deliver appropriate solutions to their business problems; Identifying gaps in the process and building solution to streamline the process; and Identifying and resolving root cause that is affecting the performance of system/process/business. Employer will accept any amount of experience with the required skills.
#LI-DNP #LI-DNI
Wal-Mart is an Equal Opportunity Employer.
Wal-Mart