Job Description
Introduction to arenaflex At arenaflex, we are driven by our mission to connect people to what's important in their lives through friendly, reliable, and low-bolthires air travel. As a leader in the aviation industry, we recognize the significance of data-driven decision-making in enhancing our services and customer experience. Our team of dedicated professionals is committed to leveraging the power of big data, artificial intelligence, and machine learning to drive business growth and innovation. We are now seeking an experienced Big Data Analyst to and contribute to the development of cutting-edge data solutions that will shape the future of air travel.
Job Overview As a Big Data Analyst at arenaflex, you will play a critical role in driving the end-to-end lifecycle of data management across various platforms, volumes, variety, and speed of data. You will work closely with our Data Science, AI, and Machine Learning teams to enable model deployment, implement and maintain model accuracy, and monitor data flow. Your expertise in data analysis and interpretation will help us understand complex business problems and translate business outcomes into data needs.
If you are passionate about working with large datasets, driving business growth through data-driven insights, and collaborating with cross-functional teams, we encourage you to apply for this exciting opportunity. Key Responsibilities Drive complex self-service data integration projects that unite data from disparate sources to make it accessible to business users, including data scientists, analysts, and insights users. Lead informal teams to apply advanced data integration philosophies and tools to large datasets to create solutions that can be used in descriptive, diagnostic, predictive, and prescriptive analysis.
Drive communication with business leaders across multiple and simultaneous projects to ensure alignment and effective decision-making. Define and communicate solutions and decisions to stakeholders, providing actionable insights and recommendations that drive business growth. Serve as a subject matter expert for data assets and monitor the ongoing effectiveness of data assets being used by business users in self-service environments. Support the ongoing development of the arenaflex data science center and community, fostering a culture of innovation and collaboration.
Perform other job duties as directed by management, contributing to the overall success of the team and organization. Essential Qualifications To be successful in this role, you will need: A Bachelor's degree in a relevant field, such as Computer Science, Statistics, or Mathematics. Intermediate knowledge of both inductive and deductive reasoning and problem-solving approaches. Transitional knowledge in assessing and applying suitable data analysis and statistical method(s) for a business problem. Transitional knowledge in acquiring and consuming data in both social and non-SQL databases.
Partial knowledge in integrating, storing, and processing large amounts of data necessary for analysis and modeling. Proficiency in at least one data programming language and open-source tools. Proficiency in at least one data integration and business intelligence tool. Proficiency in technology platforms and models relevant to creating and maintaining self-service data assets. Strong critical thinking and project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
Excellent communication and interpersonal skills, with the ability to present complex technical information to both technical and non-technical audiences. Ability to adapt to changing circumstances and adjust approaches/philosophy as needed to meet goals and objectives. Preferred Qualifications While not required, the following qualifications are preferred:
Advanced degree in a relevant field, such as Master's or Ph.D. Experience working with large datasets and data warehousing solutions. Knowledge of cloud-based data platforms and technologies, such as AWS or Azure.
Experience with machine learning and artificial intelligence technologies. Certifications in data science, analytics, or related fields. Career Growth and Development At arenaflex, we are committed to the growth and development of our employees. As a Big Data Analyst, you will have opportunities to: Develop your skills in data science, analytics, and machine learning. Work on complex and challenging projects that drive business growth and innovation. Collaborate with cross-functional teams, including data science, AI, and machine learning.
Participate in training and development programs, including conferences, workshops, and online courses. Advance your career through opportunities for promotion and professional growth. Work Environment and Culture At arenaflex, we pride ourselves on our positive company culture and employee-friendly policies. Our work environment is dynamic, collaborative, and supportive, with a focus on innovation, creativity, and teamwork. We offer a range of benefits and perks, including: Competitive compensation and benefits package.
Opportunities for career growth and professional development. Flexible work arrangements, including remote work options. Access to cutting-edge technologies and tools. Collaborative and dynamic work environment. Recognition and reward programs for outstanding performance. Compensation and Benefits As a Big Data Analyst at arenaflex, you can expect a competitive compensation and benefits package, including:
Salary: $26 per hour. Benefits: health insurance, retirement plans, paid time off, and more. Perks: flight benefits, employee recognition programs, and opportunities for career growth and development.
Conclusion If you are a motivated and experienced Big Data Analyst looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. As a member of our team, you will have the chance to work on complex and innovative projects, collaborate with cross-functional teams, and contribute to the growth and success of our organization. Don't miss out on this opportunity to take your career to the next level and join a dynamic and supportive team. and become a part of the arenaflex team!