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Experienced Full Stack Data Analyst – Business Intelligence and Analytics

Remote, USA Full-time Posted 2026-06-17

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision making. As a seasoned data analyst, you'll play a pivotal role in helping us unlock new insights and drive business growth. If you're passionate about data, analytics, and business intelligence, we want to hear from you!

Job Summary:

We're seeking an experienced full stack data analyst to join our team at arenaflex. As a key member of our business intelligence and analytics team, you'll be responsible for designing, developing, and implementing data-driven solutions to drive business growth and inform strategic decision making. You'll work closely with cross-functional teams to gather requirements, analyze data, and present findings to stakeholders.

Key Responsibilities:

* Design and develop data-driven solutions to drive business growth and inform strategic decision making

  • Gather requirements from stakeholders and develop data models to support business needs
  • Analyze complex data sets to identify trends, patterns, and insights
  • Develop and maintain data visualizations, reports, and dashboards to communicate findings to stakeholders
  • Collaborate with cross-functional teams to implement data-driven solutions
  • Present findings and recommendations to stakeholders, including senior leadership
  • Stay up-to-date with emerging trends and technologies in data analytics and business intelligence

Essential Qualifications:

* Bachelor's degree in a quantitative discipline, such as computer science, mathematics, statistics, or operations research

  • 5+ years of experience in data analysis, business intelligence, or a related field
  • Strong programming skills in languages such as Python, R, or SQL
  • Experience with data visualization tools such as Tableau, Power BI, or Alteryx
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills

Preferred Qualifications:

* Experience with machine learning and predictive analytics

  • Familiarity with data warehousing and ETL processes
  • Knowledge of database management systems, including MySQL and Oracle
  • Experience with data governance and quality assurance
  • Certification in data science or business intelligence, such as Certified Data Scientist (CDS) or Certified Business Intelligence Analyst (CBIA)

Skills and Competencies:

* Strong analytical and problem-solving skills

  • Excellent communication and presentation skills
  • Ability to work independently and collaboratively as part of a team
  • Strong attention to detail and organizational skills
  • Ability to adapt to changing priorities and deadlines
  • Strong business acumen and understanding of business operations

Career Growth Opportunities and Learning Benefits:

* Opportunities for professional growth and development in a dynamic and fast-paced environment

  • Access to training and development programs to enhance skills and knowledge
  • Collaborative and supportive team environment
  • Flexible work arrangements, including remote work options
  • Competitive salary and benefits package

Work Environment and Company Culture:

* arenaflex is a dynamic and innovative company that values collaboration, creativity, and continuous learning

  • Our team is passionate about data-driven decision making and is committed to delivering high-quality results
  • We offer a flexible and supportive work environment that encourages work-life balance
  • arenaflex is an equal opportunities employer and welcomes applications from diverse candidates

Compensation, Perks, and Benefits:

* Competitive salary of $25/hour

  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • Flexible work arrangements, including remote work options
  • Access to training and development programs to enhance skills and knowledge
  • Opportunities for professional growth and development in a dynamic and fast-paced environment

How to Apply:

If you're a motivated and experienced data analyst looking for a new challenge, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job

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