WNS Denali is a procurement-focused, technology-agnostic managed services provider that enables organizations to win at procurement: influence more spend through Category Management and transition to a New Procurement Operating Model. We support Global 1000 companies by offering an array of best-in-class procurement solutions, including Category Management, Strategic Sourcing and Category Management, Contract and Supplier Management, Tactical and Transactional Procurement, and Accounts Payable. We bring deep Category expertise extending across various direct and indirect spend categories.

Our efforts to integrate human capital strategy into the overall growth strategy have been acknowledged on several leading platforms. We were recently recognized in the AON Best Employer 2017 rankings, a feat that we have achieved for the second consecutive year. The WNS-Denali office in Pittsburgh was named “Best Place to Work” in 2016, 2017 and 2020.

WNS Denali provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The Data Analyst - Procurement Operations will be part of a client procurement service delivery team, creating and maintaining operational datasets, reports, and dashboards (for measuring and tracking volumes, cycle times, KPIs, and SLAs) in accordance with client-specific operating guidelines. Specific requirements may include gathering requirements, creating data pipelines, writing complex queries, designing dashboards, data extraction & analysis, ad hoc reporting, root causing, etc.

Key Responsibilities / Job Duties

Process large amount of data through SQL, Python, Hive, Presto, MySQL Databases

• Create & maintain databases, data pipelines, dashboards, and reports measuring various SLAs and KPIs for tracking different metrics. Prepare reports by collecting, analyzing, and summarizing information and trends.
• Respond to stakeholders’ ad hoc inquiries & help with extracting data, creating reports.
• Validate and verify data sources with extensive testing to maintain high confidence level.
• Design, maintain, and enhance dashboards (Tableau and others)
• Suggest and make changes in existing processes and metrics measures to increase efficiency & effectiveness.
• Automate & simplify processes for reporting, measuring, and tracking metrics.
• Write complex SQL queries to define data sources to be used independently (and/or for feeding into dashboards)
• Drive 100% accuracy in the entire process.
• Engage with stakeholders to gather requirements & increase data driven decision making.
• Create informative & actionable reports which highlight relevant business process inefficiencies and opportunities for improvement.

• Bachelor’s / Master's Degree in Information Management, Analytics, Supply Chain or related discipline
• 3-4 years of work experience in data analysis, creating and maintaining data pipelines, Tableau dashboards, SQL (or similar languages)
• Advanced MS Excel, Google Sheets, Presto Database, Tableau, Hive, Python

Knowledge, Skills and Abilities

• General knowledge and understanding of data base
• Analytical thinking & Problem Solving
• Excellent communication and interpersonal skills

Client Services Capabilities:

• Strong customer service orientation
• Ability to learn client specific processes, terminology, systems, and unique requirements by various business groups.
• Sense of urgency due to cross functional and fast-moving nature of operations, Big picture thinking, prioritization (comfortable with multi-tasking)
• Ability to work independently as well as cross-functionally, with non-technical stakeholders.