Job Posting for Senior Data Analyst at a Analyst at TechSur
Job Title: Data Analyst
Location: Fully Remote
Salary: DOE full benefits
Clearance: Active Secret (or ability to obtain)
TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers improving quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs.
Responsible for participating in analysis of actual and predictable interacting operational activities of business to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques.
Creates data fusion products that transforms and combines data from several financial or logistics data systems to create actionable information and visualizations for decision-makers.
Ability to devise modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques, computer programming, and other principles and laws of scientific and economic disciplines.
Ability to demonstrate a complete understanding and wide application of technical principles, theories, and concepts within the Data Science/Operations Research field and provide consultation to technical solutions over a wide range of complex difficult problems in which proposed solutions are imaginative, thorough, practicable, and consistent with organization objectives.
The candidate will be part of a data analytics application development team that is providing a government client with a full-stack, scalable Business Intelligence solution. The team will deliver:
Human Centered Designed Dashboards
Intuitive User Experiences
Demonstrates experience in performing software or data science development efforts with clear examples of value added to the client
Experience implementing and automating software models created by data science teams (i.e. Spark, Scala, Hive, Python, R, SQL, etc.)
Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.
Demonstrates experience interacting with end-users to understand and document business and functional requirements for complex projects, as well as collaborating with technical teams across the full software development life cycle
Demonstrates considerable proven knowledge of analytical, organizational, planning and project management specific to software development lifecycle processes, which may include the following:
Designing and implementing technology for new or existing business applications.
Developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under weekly and monthly deadlines.
Problem solving capabilities demonstrated in a team context to debug, troubleshoot complex software orchestrations, and/or identify solution options.
Experience scoping and estimating individual tasks, as well as performing on multiple tasks with minimal supervision.
Ability to collect, organize, manage, and process client’s sources of information and enhance data collection procedures.
Understanding of the processing, cleaning, and verification of data used for analysis and ad-hoc analysis.
Ability to perform verification, validation, and fault detection of data models.
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Degree Preferred: Bachelor’s degree in a science, technology, math, engineering field preferred; humanities degree with equivalent technical experience acceptable
Experience developing data fusion, analytics, and visualizations using Palantir Foundry software
Understanding of data visualization tools (MS Power BI, Tableau, Qlik etc.). Examples of migration between multiple visualization tools is a plus.
Understanding of the appropriate statistical model to apply to any problem.
Understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services & Google Cloud; with a heavy emphasis on AWS.
Demonstrable experience with web applications. RPA orchestration, cloud architecture, data API integration, data analytics, AI, big data platforms, and automating machine learning components.
Ability to stand-up and manage an integrated software development and machine learning environment.
Experience in any database technology (SQL Server/Azure Cosmos DB/Amazon Athena)
Experience in at least one statistical programming language (i.e., C#, Python, R); knowledge and understanding of Python Pandas is a plus.
Experience working with different query languages (i.e. PL-SQL, T-SQL).
Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)