Data Analyst

$110,000 - $110,000/Yr

The Tatitlek Corporation - Arlington, VA

Full-time - Mid Level

Arlington, VA

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

We are seeking a highly motivated and detail-oriented Data Analyst to support the National Security Innovation Network (NSIN) enterprise Data Cell. NSIN is an organization dedicated to fostering innovation and collaboration within the national security community. As a Data Analyst, you will play a crucial role in assisting with the planning, coordination, and execution of various programs and projects. Your analytical skills, attention to detail, and ability to work in a fast-paced environment will contribute to the success of NSIN's mission. The Data Analyst will be responsible for the success of internal data-centric business operations and the decisions made to meet Government goals, all to drive greater efficiency and accuracy of executing the mission. This will require the Data Analyst to build insightful reports, research ventures and innovators across the US, and present their products to Government Leadership - all while embodying high standards of Tatitlek's professionalism. The Data Analyst will work closely with the Program Managers and NSIN's Data Cell Lead to fulfill the critical innovation mission of our DOD customer. Utilizing NSIN's and the Programs' data and information about innovation in the US, the Data Analyst will analyze trends and patterns around the defense ecosystem, technology transition, small businesses, and investments. The role involves generating monthly reports on how well NSIN components and the overall enterprise are working based on agency KPIs and OKRs, supporting enterprise data migrations for large scale IT projects, and ensuring integrity and related attribute data are backed up. Additionally, the Data Analyst will provide 1:1 assistance to the workforce and delivery partners regarding how to record their activities and utilize the data for their own products. The position also requires tracking and responding to ad hoc product requests from leaders across the agency in a timely and polite manner, using data profiling and other discovery techniques to locate anomalies, outliers, and other instances that would cause a bottleneck in business operations. The Data Analyst will design and execute models for improved data collection, continually pivoting as needed to support the business, and interpret key datasets to recommend process improvement opportunities. Support for maintaining and supporting several activities, including entering and cleaning data, researching data conversions, establishing data specifications, updating sources, and ensuring data integrity is also part of the role. Finally, the Data Analyst will mine data for the purposes of experimenting with predictive model prototypes.

Responsibilities

• Utilize NSIN's and the Programs' data and information about innovation in the US for use in analyzing trends and patterns around the defense ecosystem, technology transition, small businesses, and investments.
• Help build and maintain the data network, policies and processes connecting the NSIN Regional Network Team, Program Portfolios, the OnRamp Hubs and NSIN's enterprise services.
• Generate monthly reports on how well NSIN components and the overall enterprise are working based on agency KPIs and OKRs.
• Support enterprise data migrations for large scale IT projects. Ensure integrity and related attribute data are backed up.
• Provide 1:1 assistance to the rest of the workforce and delivery partners regarding how to record their activities and how to utilize the data for their own products.
• Track and respond to ad hoc product requests from leaders across the agency in a timely and polite manner.
• Use data profiling and other discovery techniques to locate anomalies, outliers, and other instances that would cause a bottleneck in business operations.
• Design and execute models for improved data collection, continually pivoting as needed to support the business.
• Interpret key datasets to recommend process improvement opportunities.
• Support the team in maintaining and supporting several activities, including entering and cleaning data, researching data conversions, establishing data specifications, updating sources, and ensuring data integrity.
• Mine data for the purposes of experimenting predictive model prototypes.

Requirements

• Bachelor's degree in Math, Operations Research, Statistics, Data Analytics, or similar analytic-heavy programs - OR equivalent experience in Data Analytics.
• At least 5-7 years of experience in Business Intelligence, Business Analytics, Statistics, Data Analysis, or other related jobs.
• Experience writing advanced MS Excel and Google Sheet formulas, creating pivot tables, and other queries.
• Aptitude to quickly learn and apply unfamiliar models and analysis techniques to continually improve available technical skillsets.
• Theoretical knowledge and ample experience designing, building, and managing databases both structured and unstructured.
• Demonstrated ability to query information and visually present trends, patterns, and anomalies.
• Ability to work as a team and independently.
• Ability to troubleshoot and offer possible solutions to common problems arising from any data holding.
• Excellent technical writing skills, including the ability to communicate analytic results to other business departments at all organization levels.

Nice-to-haves

• Ability to work in SQL, Python, R, and/or Javascript languages.
• Salesforce-related skills and knowledge, specifically of SOSL, SOQL, Einstein Analytics, and the platform's Data Wizard.
• Experience working in SmartSheet, especially building reports and data visualizations.
• Experience with AWS S3 Buckets and other AWS means of storage.
• Knowledge of building visualizations in any of the following: Tableau, Kibana, R Shiny, R Studio, Matplotlib, Seaborn, Plotly, D3.js, or other equivalent tools.
• Knowledge of mapping networks and geospatial locations.

Benefits

• Competitive salary ranging from $90,000 to $110,000 annually.
• Opportunities for professional development and training.
• Health insurance coverage.
• Retirement savings plan options.
• Paid time off and holidays.