Data Analyst II

Walmart

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Quick summary

Work type: On-site
Location: Hoboken, NJ
Salary: $84,000–$156,000 / yr
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $140k

This role $120k

$73k $187k

below market most similar roles pay here above market

This role pays less than 73% of similar roles. Most pay $119,500–$160,000 — the blue band above. At the midpoint, this role pays about $120k versus about $140k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 724 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 593 roles with salary data.

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At a glance

TL;DR · Data Analyst II

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The Data Analyst II joins the team to support business cases, project tasks, and process updates by identifying data sources and solving complex business issues. This role involves developing initial drafts for simple models, identifying suitable data sources, and maintaining data quality standards. You will perform exploratory data analysis, execute statistical models, and compute descriptive statistics to identify trends and correlations. Key responsibilities include generating graphical representations of data and collaborating with UX and UI engineers to build front-end applications. You will utilize technologies including SQL, NoSQL, Python, R, Spark, Scala, Tableau, and PowerBI. Core competencies include data profiling, cleansing, and visualization best practices. The work focuses on retail and merchandising domains, addressing business requirements through analytical methodologies to provide expert advice and actionable insights.

What does a Data Analyst earn?

Median $120900 from 80 postings across 23 companies.

See salary data

Skills

Python SQL R Tableau PowerBI Spark Scala Matplotlib GGplot Oracle NoSQL Data Modeling Data Quality Management Data Profiling Data Cleansing Data Integration KDD Big Data Analytics

What you'll do

Identify and source appropriate data sets from various databases and distributed datastores.
Develop initial drafts of simple models to address specific business requirements and use cases.
Generate graphical representations of data and model outcomes using tools like Python, R, or Tableau.
Perform exploratory data analysis to identify trends, outliers, and correlations using statistical techniques.
Execute data cleansing activities to remove defects and improve overall data quality.
Profile and assess data quality to ensure compliance with regulatory and ethical standards.
Present data visualizations and rational arguments to influence business stakeholders and team members.
Guide and mentor junior associates on story structures and data visualization techniques.

What we're looking for

Hold a Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field.
Possess 2 years of experience in data analysis, data science, statistics, or a related field.
Demonstrate knowledge of business practices across domains such as product, finance, marketing, sales, technology, or human resources.
Identify data sources and requirements using database technologies like SQL and NoSQL.
Utilize data visualization tools such as Python, R, Tableau, or PowerBI to communicate complex data.
Apply data quality management techniques, including profiling, cleansing, and metadata definitions.
Perform exploratory data analysis using statistical techniques and scripting languages like SQL or Python.
Master's degree in a quantitative or technical field (preferred).
Related industry experience in retail, merchandising, healthcare, or eCommerce (preferred).
Successful completion of assessments in data analysis and Business Intelligence tools (preferred).

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