Overview
Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Our data engineers have the knowledge, skills, and initiative to deliver timely and innovative data management solutions to our clients. You will function as part of high-performing project team that is responsible for ensuring that organizations throughout the federal government are able to leverage their data to improve both their day-to-day operations and decision-making power. Our data engineers are responsible for shaping the future of analytics for your clients by identifying new data sources, modeling techniques, and ways of leveraging that data.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is based out of Arlington, VA.

Responsibilities

• Develop a thorough understanding of the purpose of particular assignment, the overall scope, the required level of detail, the customer(s) of the eventual work product(s) and any other situational awareness that warrants consideration with guidance from Senior level analysts
• Identify potential data sources, both within and outside of the host organization, and work with senior analysts and subject matter experts to devise a strategy for collection
• Gain a thorough understanding of modeling techniques that can be used to solve client problems, and structure data management processes accordingly to support
• Prepare data for analysis via cleansing, normalization, and manipulation (either directly or supervising junior level analysts)
• Implement the methodology or approach to address a particular problem. This could require development of a custom database or ETL process
• Prepare written documentation (e.g., technical reports, memoranda and presentations) describing the data and normalization techniques used, defend results produced and associated insights and recommendations
• Verbally explain/defend in-process and completed work to colleagues, management and stakeholders in informal and formal settings
• Develop proficiency in various software applications to support the development of robust data management solutions in an efficient, repeatable, intuitive, and transparent manner
• Continue to develop proficiency in a variety of software tools and scripting languages for use in applied analysis or for situational awareness
• Train/guide less experienced team members
• Lead and deliver projects by: developing project plans; leading technical performance; managing, developing and inspiring project staff; managing and reporting project technical and schedule performance; and managing customer and other stakeholder expectations
• Apply data storage/data architecture best practices to client problems

Qualifications

• Minimum of 4 years demonstrated experience working through various stages of the data management lifecycle (data engineer, economist, data analyst, cost analyst, data scientist, actuary, investment analyst)
• Minimum 4 years of experience working with a high-level programming language such as R, Python, Stata, SAS, Matlab
• Intermediate knowledge of relational database design and applications, to include SQL
• Significant experience with the data management lifecycle, to include data source identification, collection, cleansing and normalizations, and modeling
• Minimum 2 years of experience creating professional visualizations to communicate advanced analyses to senior level stakeholders (using software such as Tableau or Power BI
• Advanced proficiency using Microsoft Excel
• Success communicating effectively (i.e., clear, organized, succinct, knowledgeable and convincing) verbally and in writing
• Success independently representing Business Support in substantive technical-related interactions with customers and other stakeholders
• Success managing day-to-day customer relationships at peer customer levels
• Interest in earning industry recognized certifications

Preferred Qualifications

• Corporate experience using git productivity tools, including use of a collaborative environment such as GitHub or GitLab
• Experience processing and cleaning data using R or Python
• Practical experience in text analytics and natural language processing techniques
• Experience with VBA in Microsoft Excel and Access
• Experience developing complex relational databases (i.e., SQL) and a working knowledge of database concepts
• Experience working with modern database formats (i.e., NoSQL), including implementation
• Familiarity with DoD weapon system acquisition process preferred, not required

We are an Equal Opportunity Employer. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, national origin, sex, age, marital status, disability or veteran status

• Develop a thorough understanding of the purpose of particular assignment, the overall scope, the required level of detail, the customer(s) of the eventual work product(s) and any other situational awareness that warrants consideration with guidance from Senior level analysts
• Identify potential data sources, both within and outside of the host organization, and work with senior analysts and subject matter experts to devise a strategy for collection
• Gain a thorough understanding of modeling techniques that can be used to solve client problems, and structure data management processes accordingly to support
• Prepare data for analysis via cleansing, normalization, and manipulation (either directly or supervising junior level analysts)
• Implement the methodology or approach to address a particular problem. This could require development of a custom database or ETL process
• Prepare written documentation (e.g., technical reports, memoranda and presentations) describing the data and normalization techniques used, defend results produced and associated insights and recommendations
• Verbally explain/defend in-process and completed work to colleagues, management and stakeholders in informal and formal settings
• Develop proficiency in various software applications to support the development of robust data management solutions in an efficient, repeatable, intuitive, and transparent manner
• Continue to develop proficiency in a variety of software tools and scripting languages for use in applied analysis or for situational awareness
• Train/guide less experienced team members
• Lead and deliver projects by: developing project plans; leading technical performance; managing, developing and inspiring project staff; managing and reporting project technical and schedule performance; and managing customer and other stakeholder expectations
• Apply data storage/data architecture best practices to client problem