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Cust Dedicated Analyst

Vallen Distribution
paid time off, sick time, tuition reimbursement, 401(k)
United States, North Carolina, Belmont
2100 Oaks Parkway (Show on map)
Feb 28, 2025

Why Join our Team? At Vallen, we embrace what makes us unique. We thrive on the diversity of our associates and the different ways each of us contributes to Vallen's success. We pride ourselves on being an inclusive company that values the growth of our associates. When you join Vallen, you become part of our winning team. Our vast network of connections is here to help you transform your job into a career. Vallen is an industry leader in delivering flexible supply chain solutions while creating value for our customers, our supply partners, and our associates. Your Benefits at Vallen:

  • Medical, Dental, Vision
  • Paid time off (vacation, holidays, sick days)
  • 401K with discretionary company match - (US positions only)
  • Employer-paid Basic Life for Employee, Spouse, and Dependents
  • Employer-paid Short-Term and Long-Term Disability
  • Health Care and Dependent Care Flexible Spending Accounts
  • Vitality Wellness Program
  • Employee Assistance Program
  • Employee Resource Groups for networking and team building
  • Tuition Reimbursement Program
  • Employee Referral Program
  • Safety Shoe and Safety Glasses reimbursement
  • Employee Discounts through BenefitHub
  • Advancement Opportunity.

Position Summary:

Vallen's Customer Dedicated Business Analyst is an individual contributor position responsible for performing general analytics and statistical modeling on existing data sets for various products and processes. This position targets specific areas of opportunity and process improvement by identifying areas for increasing efficiency and automation of the data analysis processes. The Customer Dedicated Analyst examines and identifies data patterns and trends to help answer business questions and improve decision making. They collaborate with the Business and Information Technology teams to study and propose data uses for both regular and ad hoc projects. The Analyst uses data mining and complex data science processes to ensure data is accurately moved into targeted platforms. They gather and identify specific parameters and requirements necessary for customer compliance and business objectives.

Essential Job Duties and Responsibilities:

Assist with data-driven solutions to solve complex business problems leveraging business analytics tools & techniques, including Oracle SQL Server, Microsoft SQL Server, Oracle Data Integrator, Stibo (STEP), Power BI, IBM Cognos and R Programming.

  • Collaborate with stakeholders to define data collection and requirements and establish clear business understanding to provide effective analysis and process automation. Work with key stakeholders in different functions to align and consolidate key operational performance metrics.
  • Works to improve operational efficiency and accelerate business growth by supporting the Supply Chain and Business Technology Groups within Vallen.
  • Compile and mine data from a wide variety of data repositories such as CRM, Work Management, ERP, Data Warehouse and BI Applications. Validate data accuracy and confirm data quality to ensure consistent use across the business. Develop new modeling techniques and tools for analytics and reporting.
  • Assists in data management, governance, and data quality of master data requirements with other functional data owners to ensure master data integrity across the operation of systems are consistent and meets stated business rules and requirements.
  • Design and execute analytic projects; generate insights to support business decisions using advanced analytical techniques.
  • Translate quantitative analyses and findings into visuals for non-technical audiences. Provide clear interpretation of the data to effectively communicate findings and insights to managers and key stakeholders.
  • Assists in the application and implementation procedures of data standards and guidelines on data ownership, coding structures, and data replication to ensure access to and integrity of data sets.

Job Qualifications:

Bachelor's degree in a related field coupled with 2+ years work experience. Associate and 5+ years work experience

Relevant experience should include:

  • Knowledge and skill with data mining techniques such as classification, association, clustering, outlier detection, regression analysis, predictive modeling, anomaly detection and pattern tracking.
  • Understanding of pattern extrapolation to assist with influencing business decision.
  • Proficient with database query/management (local and SQL), Oracle, Microsoft Access, Microsoft Excel, and various forms of ELT tools and/or applications.
  • Knowledge of inventory management/product data, tools, and applications highly desired.
  • Experience using Stibo (STEP), Oracle Data Integrator, Oracle SQL Developer, Power BI, SmartSheet and Microsoft SharePoint is preferred.
  • Must be a self-starter and able to work independently and with little supervision.
  • Excellent customer service skills.

Work Environment & Physical Demands:

Reasonable accommodations will be evaluated and may be implemented to enable individuals with disabilities to perform essential functions of this position.

  • This job operates in a professional office environment and routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, etc.
  • Long periods of time working on a computer and performing repetitive key-boarding activities.
  • Evening and weekend work may be required as job duties demand and may include little to no advanced notice.
  • While performing the duties of this job, associates are regularly required to sit and stand.
  • May be required to lift up to 25 pounds.
  • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

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Equal Opportunity Employer - Ethnically and Culturally Diverse/Females/Veterans/Disabled/Sexual Orientation/Gender Identity

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