Robotics technology LLC
Duncanville, TX
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Job Description :

Key Responsibilities

  • Perform deep-dive data analysis to uncover patterns, operational risks, and new business opportunities
  • Validate data quality by checking completeness, accuracy, and consistency across multiple sources
  • Build, automate, and optimize large datasets to support advanced analytics, data mining, and visualization efforts
  • Conduct exploratory analytics and create meaningful dashboards and reports tailored to business needs
  • Act as a thought leaderrecommend insights, hypotheses, and technical solutions for evolving product challenges
  • Collaborate with cross-functional teams to ensure analytics outcomes align with business goals

Top Technical & Professional Skills

  • Exceptional analytical thinking and comfort operating in ambiguous environments
  • Advanced SQL capabilities with hands-on experience working with high-volume datasets (400M+ rows/day)
  • Proficiency with Quantum Metrics for product performance analytics
  • Highly autonomous and proactiveable to drive initiatives with minimal direction
  • Strong storytelling skills with the ability to communicate data insights to both technical and non-technical audiences

Required Qualifications

  • Bachelors degree in Computer Science, Business Analytics, or a related quantitative field
  • 5+ years of experience in Data Analytics, Business Intelligence, or similar analytical functions
  • Expertise in SQL and relational database environments
  • Experience with modern data visualization tools (Power BI, Tableau, Spotfire, Excel, etc.)
  • Strong data manipulation, problem-solving, and critical-thinking skills
  • Proven capability to independently manage multiple analytics tasks and deliver results

Preferred Qualifications

  • Experience with Python or other scripting languages for advanced analytics and automation
  • Familiarity with digital analytics/monitoring tools such as Akamai, Dynatrace, and Quantum Metrics
  • Passion for uncovering insights within complex, high-volume data ecosystems
  • Growth mindset with a willingness to continuously learn new technologies

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

             

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