Data Analyst (Remote)

Job Description Data Analyst (Remote)

Location : Remote (Offsite)

Start Date : Immediate

Work Hours : 9 AM 6 PM (8 hours / day including breaks)

Number of Openings : 2

Experience Required : 8+ years (preferred 10+ years)

About the Role

We are seeking experienced Data Analysts to support business teams with data-driven insights and reporting. This role involves designing, implementing, and maintaining enterprise-level data solutions, enabling stakeholders to make informed decisions. You will collaborate with senior management, technical teams, and business stakeholders to transform complex data into meaningful insights.

Key Responsibilities

Work with senior management, technical, and client teams to determine data requirements and best practices for advanced data storage, analysis, and visualization.

Design, implement, automate, and maintain large-scale enterprise data ETL processes.

Write and optimize SQL queries, logical / physical database descriptions, and direct coding activities where needed.

Modify and maintain databases and database management systems.

Test, troubleshoot, and improve data programs or databases as required.

Build and maintain analytics and automation solutions to deliver real-time insights and metrics.

Collect, interpret, and visualize data to identify trends, patterns, and business performance drivers.

Collaborate with cross-functional teams to translate requirements into actionable analytics solutions.

Mandate Skills (Must-Have)

Microsoft Power BI, Power Platform (PowerApps, Power Automate)

SQL (query building & database management)

ETL processes

Scripting knowledge (Python / R or similar)

Data visualization & reporting

Good-to-Have Skills (Preferred)

Experience with Copilot Studio

Supply chain analytics & modeling techniques

Big Data technologies (Azure Data Lake, Databricks, Hive, Spark, Scope)

Machine Learning model development & deployment

Advanced statistical techniques using Python or R

Education & Experience

Bachelor's degree in Computer Science, Engineering, or related technical field.

8+ years' experience in data analysis, reporting, and business intelligence.