Key Responsibilities - Data Management: Help others get the most out of data management systems by providing support and advice - Insights and Reporting: Prepare and coordinate the completion of various data and analytics reports - Data and Analytics Strategy: Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy - Resolve Escalated Issues: Act as a technical reference and escalation point for a team, resolving operational and nonstandard issues and providing advice and guidance on process and procedure - Data Collection and Analysis: Collate and analyze data using preset tools, methods, and formats; involves working independently Behavior Competencies - Manages Complexity: Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems; explores issues from multiple angles and uncovers root causes - Ensures Accountability: Holds self and others accountable to meet commitments; accepts responsibility and consistently meets obligations without making excuses - Optimizes Work Processes: Uses the most effective and efficient methods to get things done; leverages metrics to monitor quality and improves productivity through continuous process enhancement - Tech Savvy: Anticipates and adopts digital innovations; uses modern technologies and digital tools effectively while avoiding misuse - Courage: Addresses difficult issues directly; expresses ideas and concerns openly, even in the face of criticism or adversity - Decision Quality: Makes good, timely decisions; knows when to act independently and integrates various inputs to determine best actions - Action Oriented: Takes initiative on opportunities and challenges with urgency and enthusiasm; responds quickly and persistently - Plans and Aligns: Develops logical work plans aligned with organizational goals; sequences actions effectively and removes bottlenecks - Business Insight: Applies understanding of business dynamics and market trends to inform decisions and align work with business goals - Collaborates: Builds partnerships and works well with others; shares information freely and fosters inclusive, team-oriented environments - Strategic Mindset: Anticipates future trends and translates them into actionable strategies; connects individual work to broader business outcomes - Cultivates Innovation: Generates original ideas and encourages creative problem solving; enhances others' ideas with constructive feedback - Drives Engagement: Creates a motivating environment; involves team members, celebrates successes, and gives credit where due - Customer Focus: Builds strong relationships and delivers customer-centric solutions; deeply understands and exceeds customer expectations Qualifications - 3 years to 6 years of experience in the following: - Data Collection and Analysis: Analyzes trends from collected data to support decision-making; works independently and may provide technical guidance - Action Planning: Evaluates requirements and develops action plans; typically operates independently and provides guidance to others - Business Data Modeling: Collects, analyzes, and diagrams data flows to support strategic goals and problem-solving; works without supervision - Document and Model User Requirements: Uses modeling tools to represent data, process changes, use cases, and user stories; works independently and offers guidance - Perform Gap Analysis: Conducts gap analysis between current and future states to inform change strategy; typically works independently - Business Requirements Analysis: Identifies and expresses user needs, evaluates capability gaps, and recommends solutions; works independently and provides guidance - Understands Customer Needs: Translates customer needs into business context and language; articulates key performance indicators and objectives - Analyze Current State/AS-IS State: Documents business processes and context, including organizational structure and capabilities; typically works independently - Assessment: Integrates data from various sources to draw conclusions and make recommendations; operates without supervision - Database Administration: Designs, implements, and maintains databases such as Microsoft SQL Server and Snowflake; works independently - Database Reporting: Utilizes tools like AWS QuickSight, Tableau, and Power BI to create reports; works without supervision - Information Retrieval and Searching: Uses systems and tools to retrieve or search for new and existing data; typically operates independently - Data Control: Manages data acquisition, protection, and processing to meet business objectives; provides technical guidance when needed - Numerical Skills: Applies mathematical operations to interpret reports and data; operates with full competence - Review and Reporting: Prepares and reviews reports effectively for various audiences; typically works independently - Statistical Techniques: Applies probability theory and statistical methods for analysis and conclusions; uses statistical software - Data Analysis Techniques: Inspects, cleanses, transforms, and models data to inform decisions and draw insights - Data Interpretation: Identifies trends and relationships in data to answer critical business questions; typically works independently - Database Management Systems: Applies expertise in managing and using database systems with minimal supervision - Metadata Management: Builds and manages metadata systems to ensure data accessibility and consistency; typically works independently - Object-Oriented Database Management: Applies knowledge of object-oriented database systems; works independently and may provide technical guidance
Job Type
Hybrid role
Skills required
Dynamics
Location
Dallas, TX
Salary
No salary information was found.
Date Posted
May 22, 2025
The Data Operations Analyst - Team Lead at PDI Technologies is responsible for managing data integrity and ensuring accurate reporting for key business partners. This role requires strong analytical skills and collaboration with various teams to resolve data-related issues.