Data Analyst

$110,000 - $110,000/Yr

Tatitlek Corporation The - Arlington, VA

posted 2 months ago

Full-time - Mid Level
Arlington, VA
Professional, Scientific, and Technical Services

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. The key responsibilities of the position will be to 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. You will 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. Additionally, you will 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, and ensure integrity and related attribute data are backed up. Your role will also involve providing 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. You will 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, and design and execute models for improved data collection, continually pivoting as needed to support the business. Furthermore, you will interpret key datasets to recommend process improvement opportunities and 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. Lastly, you will mine data for the purposes of experimenting 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.
  • 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

  • Salary range of $90,000 to $110,000 annually.
  • Regular full-time employment with benefits.
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