Senior Data Analyst

Position:
Data Architect

Location:

Delaware Duration:
Contract Job  Overview:
This Data Architect role is responsible for designing, developing, and optimizing data solutions that support analytics, reporting, and business decision-making. The position combines hands-on data engineering and analysis with project management, stakeholder communication, and leadership responsibilities. The ideal candidate will have strong experience with Python, SQL, Spark, and cloud technologies, along with proven ability to manage projects, collaborate with cross-functional teams, and communicate effectively with senior leadership.

Responsibilities:

Design, develop, and maintain scalable data architectures and data pipelines to support analytics and reporting needs.

Perform in-depth data analysis to identify trends, patterns, and insights that support business objectives.

Develop and optimize code using Python, SQL, Spark, and Databricks for data processing, transformation, and integration.

Create automated solutions using Python to generate Google Slides, Google Sheets, and Google Docs with charts, data tables, and reports.

Implement and maintain data validation, data quality checks, and system integration processes across multiple data sources.

Leverage AWS services to build, deploy, and manage data solutions in a cloud environment.

Develop and maintain dashboards and visualizations using Tableau or AWS Quick Sight to present key metrics and insights.

Conduct analysis to evaluate existing processes and tests, identify gaps, and develop plans to close those gaps.

Manage projects end-to-end, including setting up meetings, creating agendas, taking notes, following up on action items, and reporting status.

Define project timelines, milestones, and deliverables, and ensure work is completed on schedule.

Communicate project updates, risks, and outcomes clearly and frequently to stakeholders up to the Senior Director level.

Collaborate with business and technical stakeholders to understand requirements and translate them into data and reporting solutions.

Provide customer-facing support, addressing stakeholder needs and delivering real-time project status updates.

Mentor and guide team members, contributing to a collaborative and high-performing team environment.

Qualifications:

Approximately 5 years of overall professional experience in data-focused roles.

At least 4 years of professional data analysis experience working with large and complex datasets.

At least 4 years of programming experience, preferably with Python, SQL, and related data technologies.

At least 1 year of experience in people management or project management.

Experience working directly with clients or customer-facing teams.

Minimum 5 years of hands-on experience with Python, SQL, or Spark, and Databricks.

Python experience integrating with Google Slides, Google Sheets, and Google Docs, including automated creation of presentations, charts, and data tables.

At least 1 year of experience with Tableau or AWS Quick Sight for data visualization and dashboard development.

Experience with system integration, data validation, and implementing robust data quality checks.

Proficiency in utilizing and developing solutions within AWS services (e.g., data storage, compute, analytics tools).Demonstrated ability to conduct process evaluations, identify gaps, and propose and implement improvement plans.

Proven project management experience, including creating project timelines, defining milestones, and managing deliverables.

Strong presentation and communication skills, with the ability to convey complex information clearly, concisely, and logically.

Experience communicating and presenting to senior leadership, including Senior Director level stakeholders.

Customer-facing…