Sr. Data Analyst (part-time, hybrid)

A.C. Coy • Arlington, VA

6d • Hybrid

About The Position

Tier One Technologies is looking for a Data Analyst for our direct US Government client. This part-time (10-20 hours a week) hybrid position will be located in Arlington, VA. Must be a US Citizen. Selected candidates without required clearance will be subject to a federal government background investigation to receive it.

Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
• 7+ years of experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
• 3+ years of experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
• 1+ year of experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
• Strong knowledge of ETL strategies, pattern recognition, and application of analytical tools.
• Excellent communication skills.
• Must be a US Citizen.
• Ability to obtain Public Trust clearance.
• Ability to pass drug screening, criminal history, and credit checks.
• Must have resided in the US for the last 5 years.
• Must not have traveled outside the US for a combined total of 6 months or more in the last 5 years. Military Service excluded. (Exception does not include military family members.)

Nice To Haves

• Advanced degrees in Statistics, Mathematics, or a related field preferred.

Responsibilities

• Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
• Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
• Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
• Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
• Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
• Troubleshoot and provide support on existing projects or application efforts.
• Ensure that quality/security guidelines are followed.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level