Job Title: Sr. Data Analyst
Direct Client: AT&T
Job ID: ATT00036840
Location: Dallas, TX 75202
Duration: 12-24+ Months with possible extensions
Interview Process: Phone/WebEx
Number of Positions: 3
*** Remote work
*** No OT required but need to work 8-5 CST
Required Skills:
Data Analyst:
Power BI:
Tableau:
Jira/Jira Align:
Pivot Tables/PowerPoint:
Agile:
Top 5 Skills / Additional Job Posting Description Details *
• Ability to drill-down data and visualize data in the best possible way through charts/reports/dashboards
• Prepare detailed analysis of agile metrics across multiple teams leveraging in house as well as industry standard tools (Power BI, Tableau, Jira, Jira Align, etc.)
• Proactive management and communication of variance analysis, trend analysis & identifying risk and opportunities
• Enable Executive leadership decision-making through development and presentation of metrics and insights covering areas of scaled agile execution
• Assists with the compilation of portfolio, program & scrum team level status reporting.
• Support ad hoc analyses and forecasts that enable the organization to optimize its development capacity
• Build strong working relationships across the Technology, Architecture, Product, Agile Coaching and Lean Process teams to enhance collaboration, problem-solving and generate solutions that drive tangible results
• Advanced spreadsheet design (VLOOKUP, SUMIF, conditional formatting, compound conditional logic, pivot tables, etc.), PowerPoint.
• Strong communication skills, both verbal and written.
Roles and Responsibilities:
1) Conducting full lifecycle analysis to include requirements, activities and design.
2) Data Analysts will develop analysis and reporting capabilities.
3) Monitor performance and quality control plans to identify improvements.
4) Ability to turn project requirements into custom-formatted data reports.
5) Able complete life cycle data generation and outline critical information for each Project Manager.
6) Able to analyze business procedures and recommend specific types of data that can be used to improve upon them.
7) Create a prioritized list of needs for each business segment and area of focus.
8) Identify and recommend new ways to save money by streamlining processes.
9) Work with managers to outline the specific data needs for business method analysis project.