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Barrios Technology · 9 hours ago

Data Analytics Engineer

Houston, TX

Full-time

Onsite

Entry, Mid Level

1+ years exp

Barrios Technology is an engineering solutions partner with over 45 years of experience supporting NASA and the commercial space industry. They are seeking a Data Analytics Engineer to support multiple human spaceflight programs by providing data analysis, reporting, and business intelligence solutions. The role involves querying databases, creating reports, and collaborating with internal teams to enhance reporting efficiency and data integrity.

AerospaceSoftware Engineering

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

SQLData VisualizationData AnalysisPythonPower BIExcelCommunication SkillsOrganizational SkillsProblem-Solving

Required

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, PowerBI, or other data visualization tools

Must be a U.S. Citizen and successfully complete a U.S. government background investigation

Post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol as outlined in our Drug Free Workplace policy

Work may involve sitting for extended periods

May require lifting and carrying up to 25 lbs

Must have sufficient mobility to enter areas of test facilities where necessary

Generally, an office environment, but can involve inside or outside work depending on task

Standard office equipment (PC, telephone, fax, etc.)

Regular attendance in accordance with established work schedule is critical

Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements when required

Must be able to work in a team atmosphere

Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation

Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others

This position may require some commuting and traveling to other installations as needed

Preferred

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, PowerBI, 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 experience with MS Excel's analytics tools (Macros, VBA, Pivot Tables, Charts and Graphs)

Working knowledge of Sisense

Prior work experience in similar role that involved heavy lifting of data, such as a complete ETL process, and working independently with cross-functional business units to analyze data requirements

Familiarity with project management and software development lifecycle practices is needed to effectively work with the Project Implementation teams

String Inductive Reasoning skills The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)