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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines on AWS, executing ETL processes, and providing data visualization support. Proficient in data analysis, reporting automation, and leading cross-functional data initiatives to deliver actionable insights aligned with business objectives.
Highest-signal resume keywords
AWS Data EngineeringPython ProgrammingSQL ProficiencyData Pipeline DevelopmentProject Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsData EngineeringETL ProcessesData VisualizationData ManagementReporting AutomationData AnalysisTechnical ReportingData Automation WorkflowsTrend Interpretation
Soft Skills
CollaborationLeadershipCommunicationProblem-SolvingStrategic Thinking
Tools & Technologies
AWSGitGitHubBusiness Intelligence ToolsDashboards
Industry Keywords
Data PipelinesCross-Functional TeamsClient DatasetsCPM ReportingAnalytics Initiatives
Tech Stack
Tools & technologiesAWSETLPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines on AWS to support CPM reporting and analytics
- Execute ETL processes to assess client datasets and present data in consumable formats for business stakeholders
- Perform data analysis and produce technical reports and findings supporting program and project decision-making
- Develop and maintain reporting tools, dashboards, and data automation workflows
- Interpret trends, implement leading practices, and deliver actionable insights aligned with client business objectives
- Lead departmental data process initiatives and support cross-functional data efforts
- Provide data visualization support across program and project workgroups
- Collaborate with CPM analytics team members on AWS platform buildout, including migration of SAP HANA views to AWS tables
Requirements
What you’ll need- 5+ years of relevant experience in data analytics, data engineering, or a related field
- Bachelor’s or master’s degree in business administration, information systems, communications, computer science, engineering, or equivalent experience
- Experience with AWS data engineering and development
- Experience with Python and SQL
- Experience with data pipeline design, development, and maintenance
- Experience with Git / GitHub
- Experience with data management, ETL processes, and data visualization tools
- Ability to interpret trends and implement data-driven strategies
- Strong project management skills with experience leading analytics initiatives
- Knowledge of business intelligence tools and reporting automation
- Experience supporting cross-functional teams with data-driven insights
Benefits
Comp & perks- Medical, dental, and vision coverage
- Basic life and AD&D insurance
- Short- and long-term disability
- 401(k) with employer match
- Health savings and flexible spending accounts
- Paid time off and holidays
- Paid maternity and parental caregiver leave
- Adoption and surrogacy assistance
- Supplemental insurance plans
- Employee assistance program
- Legal resources
- Identity theft protection
- Flexible work arrangements including remote, onsite at a client, or in an Accenture office or center
