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Experienced Full Stack Data Entry Specialist – Revenue Technology & Data Analytics

Remote · Peru Full-time

Join careerzynith, a world-renowned leader in the aviation industry, as we continue to soar to new heights. Are you a detail-oriented and tech-savvy individual with a passion for data analysis? Do you thrive in a fast-paced environment where no two days are ever the same? Look no further! careerzynith is seeking an experienced Full Stack Data Entry Specialist to join our Revenue Technology & Data Analytics team.

About careerzynith

careerzynith, the U.S. worldwide aircraft pioneer in security, advancement, unwavering quality, and client experience, has been driving the aircraft business in functional greatness for over a decade. With a commitment to innovation and excellence, we've established ourselves as a leader in the industry. Our Revenue Technology & Data Analytics team is at the forefront of this innovation, working tirelessly to develop and implement cutting-edge solutions that drive business growth and improve customer experience.

Job Summary

As a Full Stack Data Entry Specialist, you will play a critical role in supporting our Revenue Technology & Data Analytics team. You will be responsible for collecting, processing, and analyzing large datasets to inform business decisions and drive revenue growth. Your attention to detail, analytical skills, and ability to work in a fast-paced environment will make you an invaluable asset to our team.

Key Responsibilities

* Collect and process large datasets from various sources, including but not limited to: + Customer information + Sales data + Financial reports + Operational metrics

  • Analyze data to identify trends, patterns, and insights that inform business decisions
  • Develop and maintain databases, data warehouses, and data visualization tools to support data analysis and reporting
  • Collaborate with cross-functional teams to identify business needs and develop solutions to meet those needs
  • Develop and maintain reports, dashboards, and other data visualizations to communicate insights and recommendations to stakeholders
  • Stay up-to-date with industry trends and emerging technologies to identify opportunities for innovation and improvement

Essential Qualifications

* Bachelor's degree in a related field (e.g. computer science, data analytics, business administration)

  • 2+ years of experience in data analysis, data science, or a related field
  • Strong analytical and problem-solving skills, with the ability to collect, process, and analyze large datasets
  • Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
  • Proficiency in data analysis tools and technologies, including but not limited to:

+ SQL + Python + R + Tableau + Power BI

  • Ability to work in a fast-paced environment with multiple priorities and deadlines

Preferred Qualifications

* Master's degree in a related field (e.g. computer science, data analytics, business administration)

  • 3+ years of experience in data analysis, data science, or a related field
  • Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure
  • Experience with machine learning and artificial intelligence (AI) technologies
  • Certification in data analysis or data science (e.g. Certified Data Analyst (CDA), Certified Data Scientist (CDS))

What We Offer

* Competitive salary and benefits package

  • Opportunity to work with a world-renowned leader in the aviation industry
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Recognition and rewards for outstanding performance
  • Flexible work arrangements, including remote work options

How to Apply

If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply for this job

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