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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Immediate Start

Maritime Data Solutions
Long Beach
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
1 September 2026
Deadline
1 Sep 2027

Job Description

We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our dynamic team in Long Beach, CA. In this role, you will bridge the gap between complex data and actionable business insights. We are looking for someone who thrives in a fast-paced environment and is ready to start immediately.

Why Join Us?

  • Immediate Start: Don't wait for the right opportunity—join us today.
  • Competitive Package: $85k - $110k base salary plus performance bonuses.
  • Modern Tech Stack: Work with Python, SQL, and Tableau.

If you are passionate about transforming raw data into strategic growth, we want to hear from you.

Responsibilities

  • Transform complex datasets into clear, actionable business reports and dashboards.
  • Collaborate with cross-functional teams to identify key performance indicators (KPIs) and growth opportunities.
  • Perform advanced data cleansing, validation, and exploratory data analysis.
  • Develop and maintain automated reporting systems to ensure real-time data accuracy.
  • Present findings and recommendations to stakeholders at all levels of the organization.
  • Partner with IT and engineering to optimize data pipelines and storage solutions.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • 3+ years of professional experience in data analysis or business intelligence.
  • Proficiency in SQL (PostgreSQL, MySQL) and scripting languages (Python or R).
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication skills with the ability to translate technical concepts for non-technical audiences.

Required Skills

SQL Python Tableau Power BI Excel Statistical Analysis Data Modeling Data Warehousing

Ready to Take This Challenge?

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