Data Analyst

Dale Workforce Solutions
Philadelphia, PA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Agile Methodology Data Analysis Business Systems Information Systems Data Validation Data Files Data Integration Data Mining Data Structures Software Debugging Excel Formulas
+20 more
Python (Programming Language) Microsoft Office Microsoft Software Microsoft SQL Server NumPy Scrum Methodology Power BI Requirements Management Software Engineering SQL Databases Data Streaming Transact-SQL Data Processing Scripting Powerquery Pandas Information Technology Data Analytics Performance Monitor SQL Server Management Studio (SSMS)

Job description

Have a deep understanding of business needs, application functionality, underlying data processes, and data integration workflows. Build strong relationships to serve as the point of contact for IT developers, data teams, and business stakeholders. Initiate preliminary business requirements, assess needs, and implement appropriate solutions. Evaluate business processes by tracking, trending, and analyzing work processes. Troubleshoot issues, identify root causes, and recommend solutions to management. Reconcile client accounts related to enrollment and ID card activities by comparing client files to internal data sets. Analyze and summarize results for leadership, internal business partners, and external customers. Utilize SQL Server, Power Query, and Python to extract, transform, analyze, validate, and automate data processes and reporting activities. Develop and maintain queries, reports, dashboards, and data models to support operational analysis, decision-making, and performance monitoring. Research incident tickets and email inquiries, answer program and application functionality questions, and identify application defects and data issues. Track timely resolution by IT development teams. Participate in meetings and sprint planning sessions to ensure technical partners are progressing toward sprint goals and development milestones are on track. Assist in training staff or collaborate with trainers to implement new procedures with minimal business disruption. Respond to complex special requests that may include data analysis, research, investigation, evaluation, and documentation of findings. Develop and maintain work procedure manuals, process documentation, and technical reference materials. Serve as project lead for business initiatives that have a broad impact on processes, procedures, workflows, and system functionality. Perform other duties as assigned.

Requirements

Bachelor’s degree in Business Administration, Information Systems, Computer Science, Data Analytics, or a related field preferred; or equivalent experience. Minimum of 3-4 years of relevant business analysis, data analysis, or operational experience required. Demonstrated experience working with Microsoft SQL Server, including writing, and troubleshooting SQL queries to analyze and validate data. Experience using Power Query for data extraction, transformation, automation, and reporting. Experience with Python for data analysis, data validation, process automation, and reporting is required/preferred. Proficient in Microsoft Office Suite, including advanced Excel functions, and SQL-based data analysis tools. Self-motivated, highly organized, and detail-oriented with strong analytical, critical thinking, and problem-solving skills. Ability to work in a fast-paced, multi-task environment with effective time management and project management skills. Excellent written and verbal communication, collaboration, and customer service skills to support business teams, technology partners, and stakeholders. Strong understanding of data structures, business processes, and system functionality within a production environment. Must have thorough technical knowledge of business systems, applications, and related data flows. Ability to independently manage projects, identify business opportunities, and implement solutions with minimal supervision.

Preferred Technical Skills

SQL Server Management Studio (SSMS) T-SQL query development and data analysis Power Query and Power BI Python (Pandas, NumPy, data automation, reporting) Data reconciliation, data quality analysis, and root cause investigation Agile/Scrum project methodologies

Skills: Agile Programming Methodologies, Analysis Skills, Automation, Business Administration, Business Analysis, Business Processes, Business Solutions, Business Support, Computer Science, Customer Support/Service, Data Analysis, Data Modeling, Data Processing, Data Quality, Data Sets, Data Structures, Detail Oriented, Documentation, Identify Issues, Information Technology & Information Systems, Leadership, Microsoft Excel, Microsoft Office, Microsoft SQL Server, Microsoft Transact-SQL (T-SQL), Multitasking, Needs Assessment, Operational Audit, Operational Support, Organizational Skills, Performance Analysis, Plan Meetings, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Procedure Implementation, Process Analysis, Production Systems, Project/Program Management, Python Programming/Scripting Language, Query Analysis, Reconciliation, Reporting Dashboards, Requirements Management, Root Cause Analysis, SQL (Structured Query Language), Scrum Project Management and Software Development, Software Debugging, Sprint Planning, Staff Training, Systems Administration/Management, Technical Writing, Time Management, Trend Analysis, Writing Skills

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