Experienced Data Entry and Analysis Professional for Remote Work Opportunity with Southwest Airlines - Career Growth and Development in the Aviation Industry
Posted 2025-10-26
Remote, USA
Full Time
Immediate Start
Introduction to Southwest Airlines Southwest Airlines is a renowned leader in the aviation industry, dedicated to providing exceptional customer service and connecting people to what matters most in their lives. With a strong commitment to innovation, diversity, and inclusion, we strive to create a work environment that fosters growth, learning, and collaboration. As a remote data entry and analysis professional, you will play a vital role in supporting our mission to deliver friendly, reliable, and low-cost air travel to our customers. Job Summary We are seeking an experienced data entry and analysis professional to join our team as a remote worker. As a key member of our data science team, you will be responsible for driving the end-to-end lifecycle of data management on various systems, volumes, variety, and speed of data. Your expertise will enable us to deploy models, implement and maintain model accuracy, and monitor data drift. You will serve as an intermediate-level internal consultant, responsible for translating complex business issues into data needs and driving business outcomes through data analysis. Key Responsibilities Drive complex self-service data integration projects that bring together data from disparate sources to make it available to business clients, including data scientists, analysts, and analytic users Drive informal teams to apply advanced data integration methodologies and tools to large data sets to create solutions that can be applied in descriptive, diagnostic, predictive, and prescriptive analytics Drive interaction with functional leaders across multiple and concurrent projects Drive components and communication of solutions and options Serve as a subject matter expert for data assets and monitor the ongoing effectiveness of data assets in use by business clients in self-service environments Support the ongoing development of the Southwest Airlines data technology center and community May perform other task responsibilities as directed by Employee's Leaders Essential Qualifications To be successful in this role, you will need to possess the following essential qualifications: Intermediate knowledge of inductive and deductive reasoning and problem-solving approaches Intermediate knowledge of comparing and applying appropriate data analytics and statistical methods for a business problem Intermediate knowledge of obtaining and ingesting data in both relational and non-SQL databases Intermediate knowledge of integrating, storing, and processing large quantities of data essential for analysis and modeling Skilled in one or more data programming languages and open-source tools Skilled in one or more data integration and business intelligence tools Skilled in technology systems and architectures relevant to developing and maintaining self-service data assets Ability to communicate in an engaging manner with strong verbal and written communication skills for technical and non-technical audiences Ability to adapt well to a variety of situations and change approaches/techniques if necessary to effectively and efficiently meet objectives Preferred Qualifications While not required, the following preferred qualifications will make you a more competitive candidate: Advanced degree experience, pro and specialized knowledge in data analysis, advanced analytics, data science, machine learning, artificial intelligence, or optimization project experience Experience with data pipeline, data science, and/or relevant programming Experience with visualization and presentation development and delivery Experience solving ambiguous and complex issues through systems thinking approach Experience with AWS – Sage Maker, Model Monitor, Redshift, Dynamodb, Aurora Experience with Python, SQL, Alteryx, Tableau, Teradata, Oracle, Postgress Database, NOSQL, Linux, Gitlab, Cloudwatch, Quicksight Education and Experience A Bachelor's degree in mathematics, computer or data science, information technology, or comparable fields of study is required. Equivalent improved degree experience may also be considered. Career Growth Opportunities and Learning Benefits At Southwest Airlines, we are committed to providing our employees with opportunities for growth, learning, and development. As a remote data entry and analysis professional, you will have access to: Comprehensive training and development programs to enhance your skills and knowledge Opportunities for career advancement and professional growth A collaborative and supportive work environment that fosters innovation and creativity Flexible work arrangements, including remote work options, to support your work-life balance Work Environment and Company Culture Our company culture is built on a foundation of respect, empathy, and inclusivity. We value diversity and encourage individuals from all backgrounds to apply. As a remote worker, you will be part of a dynamic and distributed team that is passionate about delivering exceptional customer service and driving business outcomes through data analysis. Compensation, Perks, and Benefits We offer a competitive compensation package, including: Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too) Up to a 9.3% 401(k) Company match, dollar for dollar, of your eligible pay, per paycheck Potential for annual ProfitSharing contribution towards retirement – when Southwest profits, you profit Conclusion If you are a motivated and experienced data entry and analysis professional looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity. As a remote worker with Southwest Airlines, you will be part of a dynamic team that is shaping the future of the aviation industry. Don't miss out on this chance to join our team and take your career to new heights. Apply now and become a part of our mission to connect people to what matters most in their lives.