Senior Data Analyst — AWS Pipelines & Insights

Accenture Construct; San Diego (CA); Hybrid; USD 105,000 - 115,000; Full time

Job summary

Accenture Construct is seeking a seasoned data professional to design, build, and maintain scalable data pipelines on AWS that support CPM reporting and analytics. You will execute ETL processes, analyze client datasets, and present actionable insights to business stakeholders.

The role includes developing dashboards and data automation workflows, collaborating cross-functionally, and driving data-driven decision making.

Qualifications

• 5+ years of data analytics, data engineering, or related field.
• Experience with AWS data engineering and development.
• Experience with Python and SQL.
• Experience with data pipeline design, development, and maintenance.
• Experience with Git / GitHub.

Responsibilities

• 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 for business stakeholders.
• Perform data analysis and produce technical reports and findings to support program decisions.
• Develop and maintain reporting tools, dashboards, and data automation workflows.
• Interpret trends and deliver insights aligned to client objectives.
• Lead departmental data process initiatives and support cross-functional data efforts.
• Provide data visualization support across program workgroups as a shared resource.
• Collaborate with CPM analytics team on AWS platform buildout, including SAP HANA view migrations to AWS.

Skills

AWS data engineering

Python

SQL

Data pipelines design

Git / GitHub

Education

Bachelor’s or Master’s degree in business administration, information systems, communications, computer science, engineering, or equivalent experience

Job description

Accenture Construct is seeking a seasoned data professional to design, build, and maintain scalable data pipelines on AWS that support CPM reporting and analytics. You will execute ETL processes, analyze client datasets, and present actionable insights to business stakeholders.

The role includes developing dashboards and data automation workflows, collaborating cross-functionally, and driving data-driven decision making.