Sr. Data Analyst

Sr. Data Analyst at Company is Confidential Sr. Data Analyst at Company is Confidential in Centerton, Arkansas Posted in 3 days ago.

Type:

full-time

Job Description:

Position Summary... Decision Sciences builds a digital understanding of the organization's operations and turns data into insights and actions at scale. We are looking for someone that excels in critical thinking, data investigation, and story telling that can help reveal actionable insights to our decision makers and leadership. What you'll do... This role is a part of the End 2 End Decision Sciences, Store Data & Analytics. We are an analytics team that will support the innovations that impact our stores. You will help our business partners from multiple cross-functional teams answer unclear questions so they can make the best decision in a timely manner. You will be working with operations, product, finance, and executive leadership teams to provide them with the insights they need to drive the organization forward in times of rapidly changing technologies. You'll make an impact from the first day if you have: Excellent SQL Skills. Capability to manipulate data from multiple tables while keeping the data integrity (3-5 years) Ability to tell a story clearly and concisely with data Business Operations Fluency. Capability to understand and root cause a business problem. Excellent communication skills and ability to work cross-functionally

Responsibilities:

Work with large, messy, disparate datasets and conduct ad-hoc analyses to quickly inform critical business decisions. Create ETLs or processes that pull data from multiple places and centralize it in one table. Develop data visualization to monitor and quantify the impact of changes and unique business challenges. Engage with team members and cross-functional teams on a periodic basis and establish credibility. Analyze stakeholder needs and partner with them to share relevant information. This includes partnering with Operations, Finance and Product teams on data accuracy, completeness and latency across multiple operations and systems Document your processes and share your knowledge with your peers. Mentor your peers as you become a Subject Matter Expert. Independently drive internal team innovation

Minimum Qualifications:

Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field. Advanced SQL Proficient skills in at least one of: Tableau, PowerBI, AI Tools, Python, R, etc Preferred Experience with omni-retail operations Experience with Python or other scripting language. Background in statistics, advanced mathematics, economics, etc