Supply Chain Data Analyst

Overview: At Dollar Tree, we strive for exceptional collaboration between talented individuals who exhibit our values and execute our mission. Everything we do starts with our people. We look for people who offer inspiration, innovation and have an internal drive for results ... This position is for a Data Analyst who can manage Supply Chain's SQL server data, Alteryx workflow (ETL) and Tableau Dashboard development. The candidate will support the manager in the associated governance and partnership with IT. The candidate should be an excellent Alteryx and Tableau modeler who can build from requirement documentation with limited support. Strong analytical mindset to deliver outcomes that are linked to business value and to drive the business forward. The ideal candidate will be able to interpret data science into practical business applications. The candidate should be able to use analytics to optimize next generation enterprise performance methods. Data & Analytics professionals at Dollar Tree have a unique career experience and unparalleled opportunity to grow and advance. This position is in the SSC headquarters in Chesapeake, VA. 3 days in office and 2 days remote. Principal Duties & Responsibilities: • Determines best practices and develops actionable insights and recommendations for the current business operations or issues • Performs advanced business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining • Works closely with the internal or external client to understand available data elements, where they reside across various systems • Manages the flow of information from various source systems through the supply chain SQL Server and ultimately into the Supply Chain DataMart, ensuring clean, harmonized and accurate data • Ability to work and communicate with business stakeholders and technical teams while bridging the communication gap between the two • Be the key contact for supply chain data details and interpretation What you have: • Technical expertise in SQL, Alteryx, Tableau, Python, and other programming languages • Strong knowledge of and experience working with data stores, analyzing large volumes of data using analytical tools, and in building data models. • Knowledge of statistics and experience using statistical packages for analyzing large datasets. • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. • Strong experience initiating and driving enterprise-wide projects to completion • Skilled in managing multiple requests and maintaining a high-level of responsiveness. • Experience being self-directed in managing projects. • Ability to advise team members and lead matrixed groups. • Articulate the value proposition and business case for enterprise data and analytics solutions • Develop fluent understanding of advancements in technology and innovations happening across digital, analytics, enterprise ecosystem and broader marketplace • Identify, assess, and solve complex business problems for area of responsibility, where analysis of situations or data requires an in- depth evaluation of variable factors • Encourage creative and innovative thinking from team members while helping them to bring their ideas to fruition • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions • Build and execute tools to monitor and report on data quality, ensuring high accuracy and quality of our data • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers • Drive analysis that provides meaningful insights on business strategies • Work collaboratively with appropriate teams to manage security and data governance Experience: • 5-7 years of experience working with data required (preferably in a data warehouse, data management team, or repository) • Project management, business, practice, and people development experience Education: • Bachelor's degree required (in Data Science, MIS, Engineering preferred) • Master's degree preferred Prerequisites: (Technical) • Expert knowledge of business intelligence reporting solutions (Tableau, Microstrategy, Business Objects, etc.) • Expert knowledge of enterprise data tools and technologies (Alteryx, SQL, SQL Server, etc.) • Working knowledge of analytics techniques and technologies (Statistical modeling, R, Python, etc.) • Advanced working knowledge of Microsoft PowerPoint, MS Excel • Working knowledge of technical documentation (Interpersonal) • Ability to turn data into insights and stories understandable at various levels of the organization • Ability to work creatively and analytically in a problem-solving environment • Strong interpersonal skills and emphasis on teamwork • Highly effective communication and problem-solving skills

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