Data Analytics & Reporting Engineer

FutureTech Consultants LLC
Rockville, United States of America
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Rockville, United States of America

Tech stack

Business Analytics Applications
Data analysis
Big Data
Cloud Database
Data Validation
ETL
Data Warehousing
Relational Databases
Performance Tuning
Regression Testing
SQL Databases
Strategies of Testing
Cloud Platform System
Sql Optimization
Data Pipelines

Job description

We are seeking a senior-level analytics professional to design and deliver scalable reporting, dashboards, and data-driven insights using enterprise data. This role focuses on advanced analytics and business intelligence, not data pipeline or ETL development.

The ideal candidate is not just a task executor, but someone who challenges assumptions, refines metrics, and drives better decision-making through data.

Key Responsibilities

Design, build, and optimize SQL-based analytics and reporting solutions

Analyze large datasets using cloud-based data platforms

Develop and maintain dashboards, reports, and KPI frameworks

Partner with stakeholders to define, refine, and standardize business metrics

Improve reporting efficiency through reusable queries, views, and data models

Build lightweight tools or automation to reduce manual reporting effort

Ensure data accuracy and reliability through validation and testing practices

Perform testing across reporting solutions, including:

Regression testing of dashboards and reports

Requirements

Advanced SQL skills, including complex query development, optimization, and performance tuning

Experience working with cloud-based data analytics platforms (e.g., query engines, relational databases, data warehouses)

Strong background in data analysis, reporting, and dashboard development

Solid understanding of KPIs, metrics design, and reporting logic, Experience with data validation, QA processes, and testing methodologies

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