Senior Data Analyst

Senior Data Analyst - (Part-Time)

Location: Washington, DC/Local Remote (candidates must be local to Washington, DC)

Duration: 6+ months

Need State client experience

Need Candidate with Active Public trust clearance

Years of Exp.: 10+ years exp.

Skills: sql, python, r, javascript, models, dashboards, reports, dax, data mash-ups (M), power platforms; powerbi, power apps, power automate, aws or azure, data bricks, data factory, data lake, etl, data analytics to detect fraud, statistical analysis, identify fraud, law enforcement or audit history,

Job Description:

Position Description
This position is part-time working approximately 10-20 hours per week.
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.
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.

Position Requirements
Experience applying analytic techniques to detect fraud in client 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.
Analyze clients 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.
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.
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.
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.
Requirements
Knowledge and experience in the law enforcement and/or audit industry
Knowledge and experience using cloud computing platforms such as Azure
Knowledge and experience with relational databases and structured query language (SQL)
Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
Section III: Experience
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.