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Artemis Consulting · 20 hours ago

Senior Business Analytics Developer

San Diego, CA

Full-time

Hybrid

Mid, Senior Level

$70K/yr - $160K/yr

5+ years exp

Artemis Consulting, LLC is a Woman-Owned Small Business consulting firm dedicated to providing professional support services to government clients. They are seeking a Senior-Level Business Analytics Developer to support the Department of Navy and Naval Information Warfare Systems Command (NAVWAR) in analyzing and addressing a wide range of data-related challenges for government clients.

ConsultingFinancial ServicesManagement Consulting

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Provide analysis and consulting to help support government clients with a wide range of data-related challenges from measuring risk to optimizing financial decisions and strengthening data management approaches

Develop, build, and implement tools and solutions such as databases and applications to automate common processes, streamline decentralized data collection, write queries for effective data isolation, and create user forms that provide intuitive user interfaces

Apply data mining, modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets

Create dynamic data reports to visualize, interpret, and communicate findings effectively

Collaborate with a team of consultants as well as independent direct tasking and communication with clients daily

Qualification

Data ScienceSQLPythonBusiness IntelligenceData VisualizationETL PipelinesDatabase ArchitectureMicrosoft OfficeCollaboration SkillsProblem SolvingAttention to DetailCommunication Skills

Required

Bachelor's degree (BA or BS)

Five (5) or more years of experience in data science, structures, and systems, and/or relevant consulting experience

Existing or the ability to obtain a DoD Security Clearance (applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information)

Proficiency in Microsoft Office (Excel, Word, Access, PowerPoint, Project)

Experience with software integration or testing, including analyzing and implementing test plans and scripts

Experience with relational data structures and database architecture

Experience applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers

Experience with scripting languages, such as Python and R

Experience using platforms and packages commonly used in data science applications or advanced analytics such as Jupyter Notebook, Pandas, Numpy, Polars, Plotly, Seaborn, or ggplot

Experience with synthesizing multiple sources of input, including .txt, .csv, and .xlsx and perform data transformation routines to organize and manage data for analysis

Experience with business intelligence and visualization engines such as PowerBI, Tableau, or Qlik

Experience with Power Platform including Power Apps, Power Automate, and Dataverse

Experience with documenting functional and technical requirements

Experience applying complex mathematical and statistical concepts