Data Analytics Engineer

Overview

Barrios Technology is an engineering solutions partner with more than 45 years of experience supporting NASA and the commercial space industry. We deliver innovative engineering, software, and technology integration services across NASA centers nationwide. Barrios prides itself on a people-focused culture that values creativity, diversity, professional growth, and a healthy work–life balance.

Our long-term client relationship with NASA has led to a need for a Data Analytics Engineer on the MTIC contract onsite at JSC (Houston, TX). MTIC supports multiple human spaceflight programs by providing products and services for mission and program technical integration activities. This includes the necessary infrastructure functions for the International Space Station (ISS), Orion and Gateway programs, with the potential for supporting additional human spaceflight programs or projects via task orders.

The Data Analytics Engineer will:

• Query SQL database tables to extract business requested data.
• Create ad-hoc reports (using MS SQL, MS Excel, Power BI Reporting tools) within required time-frames; analyze and validate data to provide assurance of accuracy and validity of critical business information.
• Provide quantitative analysis, reporting, and trending for key strategic initiatives; provide data sets and metrics to add context and measure potential impact for new projects.
• Synthesize current business intelligence or trend data to support recommendations for action.
• Actively engage with internal teams to streamline and standardize existing reports by identifying and developing opportunities to increase efficiencies.
• Analyze, improve, and add to existing dashboards by re-engineering existing solutions and queries.
• Build reporting tools to assist business operational users to execute day-to-day responsibilities.
• Analyze data correlations/discrepancies/reconciliations and related impact to business.
• Track and document post implementation benefits and key objective measurement.
• Provide data-based solutions to complex problems and offer creative suggestions for alternative designs and methods where applicable.
• Collect business intelligence data from available main sources to correlate with other available information and provide deeper insights with the data.
• Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
• Manage timely flow of business intelligence information to users.
• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand the insights and impact it is making.
• Partner with Product, Operations and Engineering to solve problems and identify trends and opportunities.
• Partner with your key stakeholders, the Product and Data teams, to manage development of data resources and gather requirements.
• Organize data sources and ensure data integrity and relevancy.
• Perform all other assigned duties.

Required Education/Experience/

Skills:

• BS degree in Engineering from an accredited college or university.
• Detail oriented - places a high value on accuracy, consistency, and completeness of work.
• Possesses excellent organizational and time management skills - must possess ability to prioritize and balance multiple tasks simultaneously.
• Excellent written and verbal communication skills, must be comfortable and able to communicate clearly and effectively with others (team members, cross-functional teams, customers, vendors, and other stakeholders).
• Demonstrated experience thinking strategically about issues, leading to recommendations and action plans.
• Experience supporting product, business or operations teams in an analytical capacity.
• Experienced in numerical, statistical, and/or financial analysis.
• Knowledge in conducting quantitative analysis including SQL or Python, R, Java or C#.
• Self-starter, results-oriented with proven previous success at prioritizing and managing multiple tasks of varying complexities in the context of operational impact and corporate goals, as well as meeting tight deadlines.
• Proven logical and analytical problem-solving abilities. Comfort with numerical and statistical analysis.
• Trained or Experienced in designing and implementing data visualizations utilizing tools such as Sisense, Tableau, Power
  
  BI, or other data visualization tools.

Preferences Education/Experience/

Skills:

• 1-2 years of data analytics work experience.
• Advanced understanding & hands-on execution knowledge and comfort of relational databases and previous experience working with MS SQL Server including querying, re-engineering, and manipulating data.
• Trained or Experienced in designing and implementing data visualizations utilizing tools such as Sisense, Tableau, Power
  
  BI, or other data visualization tools.
• Advanced MS SQL skills and previous background working with SQL and relational databases for data mining & manipulation.
• Good understanding of MS SSRS for report deployment and code management.
• Advanced Excel skills, with…