Operations Performance Analyst/BI Consultant

Duties & Responsibilities

• Effectively communicate with internal and external customers to understand data requirements and objectives from different stakeholders.
• Monitor and assess key performance supply chain metrics.
• Analyze data to identify trends, anomalies, and areas for improvement.
• Collaborate closely with the Supply Chain product team, business process owners, data producers, and cross-functional stakeholders to understand processes, gather relevant data, and ensure an understanding of current processes and systems that have a direct impact on the quality of the data.
• Perform activities to address data extraction, data validation, data cleansing, data harmonization, business logic, exception handling, and required data indication.
• Understand key data relationships and the customer’s data domains.
• Work closely with Data Architects to define and maintain a customer data model and Analytics solutions.
• Develop and maintain performance dashboards, reports, and KPIs.
• Work with stakeholders and the technical team to establish and manage match/merge processes that identify duplicate data across data sources and align required actions such as survivorship and trust rules in accordance with the organization's data governance procedures.
• Conduct root cause analysis to identify operational bottlenecks and recommend solutions.
• Support the implementation of process improvements and efficiency initiatives.
• Assist customers with validating data integration from operational systems to future solutions.
• Troubleshoot issues with our client’s product teams.
• Research new statistical and mathematical techniques that are suitable and helpful for solving business-related problems.
• Stay informed about industry best practices and emerging trends in supply chain performance analysis.

Education

Bachelor's Degree Required (STEM curriculum preferred)

Required Skills

Data Analysis: Proficiency in analyzing large-scale datasets to uncover patterns, insights, and trends. Strong understanding of statistical analysis, hypothesis testing, and data-driven decision-making.

Business Analysis Awareness: Familiarity with the fundamentals of requirements gathering, process modeling, and understanding business needs. Knowledgeable about bridging the communication gap between stakeholders and IT, and translating business needs into understandable terms. Aware of tools and techniques like UML, flowcharts, and user stories to conceptualize business processes.

Product Analysis Familiarity: Basic understanding of identifying product trends using user data and an awareness of user feedback comparison for product feature improvement. Capable of translating quantitative findings into strategies and recognizing user behaviors to glean insights that can influence product roadmaps.

Operational Analysis Understanding: Possesses a foundational comprehension of monitoring and assessing workflow efficiencies, optimizing resource use, and anticipating operational challenges. Familiar with the use of data analytics to enhance process efficiencies and minimize operational expenditures.

Build Relationships with Key Partners: Fostering strong, collaborative connections with individuals and groups who have an interest in the project or initiative, understanding their needs and concerns, and ensuring they're informed and involved throughout the process.

Azure Cloud Platform and Data Services: Familiar with Azure's offerings and data services, including VMs, Blob Storage, SQL Database, Data Factory, Databricks, and more.

Database Technologies: In-depth knowledge of relational databases (e.g., Oracle, SQL Server, MySQL) and non-relational databases (e.g., MongoDB, Cassandra). Experience in designing and optimizing database schemas and SQL query optimization.

Data Visualization: Proficiency in tools such as Tableau, Power BI, or QlikView. Ability to create intuitive dashboards for data exploration, product insights, and operational reporting.

Data Governance and Monitoring: Understanding of data governance tools and principles to ensure data integrity, privacy, and compliance. Awareness of best practices related to maintaining and enhancing data quality.

Problem Solving and Analytical Skills: Strong abilities and analytical thinking to tackle complex challenges. Attention to detail and ability to troubleshoot and debug data-related issues.

Continuous Learning: Willingness to stay updated with the latest trends, tools, and techniques in Data Analytics, cloud platforms, product analysis, operational analytics, and business analysis methodologies. A growth mindset and eagerness to learn and adapt to evolving technologies.

Required Competencies

Analytical: Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data. Ability to read, analyze, and interpret common technical journals, and documents.

Problem Solving: Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics.

Interpersonal: Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things.

Oral Communication: Speaks clearly and persuasively in positive or negative situations; listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings.

Team Work: Balances team and individual responsibilities; Ability to multi task and manage multiple projects and priorities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed; Recognizes accomplishments of other team members.

Attendance/Punctuality: Is consistently at work and on time; Ensures work responsibilities are covered when absent; Arrives at meetings and appointments on time.

Dependability: Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan.

Innovation: Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention.

Motivation: Sets and achieves challenging goals; Demonstrates persistence and overcomes obstacles; Measures self against standard of excellence; Takes calculated risks to accomplish goals.

Quality: Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality.