Lead Data Analyst

If you're seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS' success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.

Introduction

As aLead Data Analyst, you will use cutting-edge cloud and data technologies to perform analyses of data and data source characteristics, relationships, and logic necessary for effective implementation of information systems. Work on exciting projects, future-proof your skills, and grow into your dream job alongside some of the most talented, knowledgeable, and dedicated technologists in the industry.The customer is looking to consolidate and integrate existing data warehouses, data marts, and applications into an Integrated Enterprise Data Warehouse.

What You'll Be Doing

• Identifies and documents problems traced to both original data quality issues and system outputs and recommends solutions.

• Combines domain knowledge and knowledge of system performance requirements in supporting system development and performance testing processes.

Location and Travel Details

This is a remote position reporting to the Washington D.C. office as needed.

Security Clearance and Citizenship Requirements

Must be able to obtain and/or maintain Public Trust Clearance.

Required For This Opportunity

• Five (5) or more years of experience in data analysis and the identification and documentation of data characteristics and entity relationships.

• Familiar with Azure Data Lake Storage (ADLS) and experience with data ingestion, transformation, and management within Azure.

• Knowledge of Azure Data Factory (ADF) for orchestrating data workflows.

• Experience with Azure Synapse Analytics for integrating big data and data warehousing solutions.

• Expertise in creating, deploying, and managing interactive dashboards and reports using Power BI.

• Understanding of Snowflake's architecture, including virtual warehouses, data sharing, and clustering.

• Expertise in creating, deploying, and managing interactive dashboards and reports using Power BI.

• Proficiency in Apache Spark and Databricks for big data processing and analytics.

• Familiarity with Delta Lake for managing large-scale data in a lake-house architecture.

• Strong PowerShell, PowerBI, Python, Scala, or R skills for data manipulation, analysis, and machine learning tasks.

• Experience with Oracle.

• Experience with SQL for querying relational databases and performing data analysis.

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.