Data Analyst

Bright Vision TechnologiesIndanapolis, IN
9hRemote

About The Position

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and high-performance applications. As we continue to grow, we’re looking for a skilled Data Analyst to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT / CPT / H4 EAD / TN / E3 or any other Non-Immigrant visa candidates who are looking for H-1B sponsorship for the 2027 quota . Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Data Analyst Job Location: Bridgewater, New Jersey – 08807 Onsite/Hybrid: Remote Employment Type: FULL-TIME ROLE WITH BRIGHT VISION (W2)

Requirements

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • 3-5+ years of experience in data analysis.
  • Expertise in SQL, Excel, and data visualization tools (Tableau, Power BI).
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication and presentation skills.
  • BUT STRICTLY NO C2C / 1099 / THIRD-PARTY COMPANIES. ALL OUR ROLES ARE W2 ONLY. NO THIRD-PARTY BROKERING.
  • For every role, a coding test is required , so apply only if you are confident and technically strong.
  • We prefer at least 3 to 5 years of real-time experience.

Responsibilities

  • Analyze large and diverse data sets to identify trends and patterns.
  • Develop and maintain comprehensive dashboards and reports.
  • Work closely with business units to understand data needs and provide actionable insights.
  • Ensure data accuracy and integrity through meticulous data validation.
  • Mentor junior analysts and contribute to the development of data strategies.
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