Data Analyst - Big Data and Analytics Platform

Remote Full-time
About the position This position supports an enterprise big data and analytics platform that leverages emerging technology to ingest data in real time at extreme volumes and high velocity. The role focuses on data mining, analysis, and visualization to uncover insights and solve business problems. Responsibilities: Serve as a versatile data analyst, supporting both software development lifecycle (SDLC) and business operations. In SDLC: Provide input into data architecture design. Analyze data outputs to validate quality and communicate gaps to development teams. Validate SIT and CAT results to ensure products meet acceptance criteria. Support production data validation and investigations. In business support: Triage and investigate user inquiries. Query and analyze data to identify actionable business insights. Responsibilities • Serve as a versatile data analyst, supporting both software development lifecycle (SDLC) and business operations. • Provide input into data architecture design. • Analyze data outputs to validate quality and communicate gaps to development teams. • Validate SIT and CAT results to ensure products meet acceptance criteria. • Support production data validation and investigations. • Triage and investigate user inquiries. • Query and analyze data to identify actionable business insights. Requirements • Minimum of 3 years of experience in data analysis. • Detail-oriented with strong analytical and problem-solving skills. • Proficiency in data analytics and SQL or other structured query languages. • Strong mathematical background; familiarity with physical-world measures. • Ability to quickly learn postal processes, terminology, and physical data sources (POS, scan, scales, etc.). • Mastery of MS Office Suite (Visio, Excel, PowerPoint). • Excellent verbal and written communication skills; ability to collaborate across all levels. • Ability to prioritize, multi-task, and work effectively in a fast-paced environment. Nice-to-haves • Experience querying and exploring data within NoSQL platforms (e.g., Hadoop/Hive). • Familiarity with Avro schema. • Postal or mailing industry experience. Apply tot his job
Apply Now

Similar Opportunities

Specialist Solutions Architect - Data Science / Machine Learning (Public Sector)

Remote Full-time

Data Analytics Architect

Remote Full-time

Mainly Remote BI Developer, Junior to Mid Level, Some Data Engineering Functionality is Ideal

Remote Full-time

Power BI Developer - PA (Initial Remote)

Remote Full-time

Data Analyst; Remote Security Clearance

Remote Full-time

Developer I - BI & Analytics

Remote Full-time

Experienced Big Data Analyst – Remote Data Science and Analytics Expert for Innovative Air Travel Solutions

Remote Full-time

Manager, Big Data - REMOTE

Remote Full-time

Data & Analytics Engineering Lead

Remote Full-time

Architect – Big Data – Google Cloud

Remote Full-time

Experienced Customer Service & Shipping Clerk - Work from Home Opportunity at blithequark

Remote Full-time

Experienced Administrative Assistant and Data Entry Clerk for Remote Work Opportunity with arenaflex – Utilize Your Typing Skills and Work from the Comfort of Your Home

Remote Full-time

Dynamic Remote Part Time Flexible Customer Care Representative – Deliver Exceptional Service and Drive Sales Growth in a Fast-Paced E-Learning Environment

Remote Full-time

Moving Services Dispatcher (Remote) - Contract to Hire

Remote Full-time

[Remote-Position] Delta Airlines (High Paying Virtual Jobs) –

Remote Full-time

Experienced Remote Data Entry Specialist – Part-Time Opportunity for Detail-Oriented Individuals with Excellent Typing Skills

Remote Full-time

**Experienced Customer Service Representative – Work From Home Opportunity at blithequark**

Remote Full-time

Experienced Remote Data Entry Specialist – Flexible Part-Time Opportunity with Comprehensive Training

Remote Full-time

Order Checker Auditor- 3rd Shift

Remote Full-time

**Experienced Customer Service Representative – Remote Opportunity at arenaflex**

Remote Full-time
← Back to Home