Senior Data Analyst (Part-Time)

ECS Tech Inc•Arlington, VA

8d•Onsite

About The Position

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.

Requirements

Must be able to obtain a USPS Public Trust
Degree in Computer Science, Information Technology, Data Analytics, or related field.
7+ years’ experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
3+ years’ experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working 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.
Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
Ensure that quality/security guidelines are followed.
Strong relational database and querying languages experience.
Strong verbal and written communication skills.
Must be able to work effectively in a team environment.
Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
Knowledge of ODBC connection strings, and other external data source connection protocols.
Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
Experience applying analytic techniques to detect fraud in Postal Service operations.
Extensive background in statistical analysis and skilled in advanced statistical methods and software.
Able to work independently or with teams across functions professionally.
Capable of writing concise, comprehensive communications on complex issues for the intended audience.
Able to communicate methodology and results clearly in writing and verbally, including findings from research.

Responsibilities

Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
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.
Assist with training and conference development which may include presentations to large audiences.
Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
Coordinate with staff and customers to identify business and technical requirements.
Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
Assist the agency in the development of programming and visualization solutions.
Troubleshoot and provide support on existing projects or application efforts.
Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.