ZR_2773_JOB

Zohorecruit; Jacksonville (FL); Remote; USD 85,000 - 125,000; Full time

Job summary

Zohorecruit in Jacksonville, FL seeks a Senior Data Analyst to support analytics and reporting for AI initiatives. You will define, validate, and deliver data requirements to power Quicksight dashboards using AWS Aurora, DynamoDB, and Athena.

This contractor role requires 5-8+ years of experience, expert SQL, Python, and strong collaboration with engineers, product managers, and AI teams. Work remotely 9am-5pm ET for 3–6 months with potential extension.

Qualifications

• 5–8+ years of hands-on data analytics experience with ability to work independently.
• Expert SQL skills and experience querying AWS Aurora, DynamoDB, and Athena.
• Proven dashboarding experience, especially in Amazon QuickSight or similar tools.
• Strong documentation, validation, QA, and data governance capabilities.
• Ability to translate business goals into precise data requirements.
• Experience in AI/digital product analytics is a plus.
• Remote availability 9am–5pm Eastern Time; contractor engagement 3–6 months.

Responsibilities

• Translate business needs into clear requirements documents for Quicksight dashboards.
• Identify source data tables, fields, and relationships across AWS data stores.
• Write, optimize, and validate SQL queries for analysis and reporting.
• Perform data validation to ensure accuracy and consistency.
• Collaborate with product managers, engineers, and AI teams to define KPIs.
• Develop data dictionaries and robust documentation for reproducibility.
• Provide status updates and meet project deadlines with minimal oversight.
• Offer insights on data trends and anomalies to improve AI reporting.

Skills

Senior data analytics

SQL proficiency

Python

AWS experience

Dashboarding

Independent worker

Tools

Amazon QuickSight

AWS Aurora

DynamoDB

Athena

Job description

Jacksonville, United States | Posted on 12/01/2025

Contractor

Overview

We’re seeking a highly skilled Senior Data Analyst to support analytics and reporting for our AI

and Generative AI solutions team. This role is ideal for someone who is technically strong with AWS, Python & SQL.

You are detail-oriented, proactive, and thrive in a fast-paced environment where data quality,

accuracy, and independence matter.

You will be responsible for defining, validating, and delivering data requirements that

enable the creation of usage and performance dashboards in Amazon Quicksight, using data

stored across AWS Aurora, DynamoDB, and Athena. You should be comfortable navigating

data architectures, identifying the right fields and tables, and collaborating with engineers to

ensure end-to-end data integrity - without needing step-by-step direction.

This is a remote, full-time contract role (9am-5pm EDT).

Responsibilities

• Translate business and analytics needs into clear, structured requirements documents for Quicksight dashboards and reports.
• Independently identify source data tables, fields, and relationships across Aurora, DynamoDB, and Athena.
• Write, optimize, and validate queries to extract and transform data for analysis.
• Perform data validation and QA to ensure accuracy, completeness, and consistency.
• Collaborate with product managers, engineers, and AI platform teams to define meaningful KPIs and metrics related to usage, adoption, and performance.
• Develop robust documentation and data dictionaries for reproducibility and handoff.
• Provide timely status updates, participate in daily standups, and meet project deadlines with minimal oversight.
• Contribute insights on data trends, patterns, and anomalies for continuous improvement of our AI/agentic systems reporting.

Qualifications and Experience

• 5-8+ years of hands-on data analytics experience, with demonstrated ability to work independently on data discovery and requirements definition.
• Experience creating compelling and easy-to-understand dashboards for data
• Expert-level SQL and experience querying AWS Aurora, DynamoDB, and Athena Work with complex data models, including creating joins, foreign keys, and parent-child relationships in SQL databases.
• Collaborate with developers to request necessary database views or modifications to support custom reporting needs.
• Support business users through self-service analytics using AWS including user management and troubleshooting login and access issues.
• Proven experience designing or supporting dashboards in Amazon Quicksight (or similar BI tools).
• Strong understanding of data validation, QA, and troubleshooting techniques.
• Ability to interpret business goals into technical data requirements with precision.
• Excellent documentation and communication skills; able to provide crisp updates and
• Experience working in AI, machine learning, or digital product analytics environments preferred.
• Comfortable working across time zones and managing multiple priorities under tight deadlines.
• Remote (must be available 9am-5pm Eastern Time)
• Contractor role (3-6 months with potential extension)
• Collaborative, agile, and high-performing AI product environment