Experienced Senior Data Modeler for Innovative Retail Solutions and Data-Driven Insights at arenaflex

Introduction to arenaflex At arenaflex, our mission is to help people save money so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We are committed to making a positive impact on our customers' lives, and we believe that our team members are the key to achieving this goal. As a leader in the retail industry, we are constantly looking for innovative ways to improve our operations, enhance our customer experience, and drive business growth. If you are a motivated and talented individual who is passionate about data modeling and retail, we encourage you to join our team as a Senior Data Modeler. About the Role As a Senior Data Modeler at arenaflex, you will play a critical role in helping us unleash the power of retail data science. You will be responsible for imagining, developing, and maintaining data models that our Data Engineers, Scientists, and Analysts can rely on to build out capabilities that evolve the retail business model. You will work closely with cross-functional teams, including Data Engineers, Data Scientists, Stewards, and business stakeholders, to solve complex modeling and analytical challenges. Your expertise in data modeling will help us make better decisions faster, drive business growth, and improve our customers' lives. Key Responsibilities Work with the Application Development team to implement data strategies, build data flows, and develop conceptual data models. Create logical and physical data models using best practices to ensure high data quality and support application, batch, and interactive use cases. Create, optimize, and update logical and physical data models to support new and existing projects according to company standards. Create data modeling solutions optimized for relational, dimensional, and NoSQL databases. Maintain conceptual, logical, and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Recommend opportunities for reuse of data models in new environments. Perform reverse engineering of physical data models from databases and SQL scripts. Evaluate data models and physical databases for variances and discrepancies. Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions. Guide System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces. Review modifications to existing software to improve efficiency and performance. Examine new application design and recommend corrections if required. Essential Qualifications To be successful in this role, you will need to have a strong academic record and a Bachelor's degree in Computer Science or a related field. You should also have at least 10+ years of hands-on data warehousing experience, with a strong knowledge of different data modeling techniques for data warehousing, such as 3NF, Dimensional, and hybrid. Experience working on large-scale data warehouses (100 TB+) and operational data stores (ODS) is also required. Additionally, you should have significant experience in building data models for MPP, Relational, and NoSQL technologies, such as BigData, Hive, SQL*Server, Hadoop, Cassandra, Cloud DBs like Big Query, and/or Snowflake. Preferred Qualifications Master's degree in Computer Science or a related field. Experience working with globally distributed teams in a collaborative and productive manner. Excellent interpersonal and communication skills across a variety of stakeholders, with the ability to negotiate with and influence others. Experience in retail, supply chain, eCommerce, healthcare, or a related industry. Skills and Competencies To succeed in this role, you will need to have a strong technical skillset, including expertise in data modeling, data warehousing, and data analytics. You should also have excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders. Additionally, you should be able to think critically and creatively, with a strong problem-solving ability and a passion for innovation and continuous learning. Technical Skills Data modeling and data warehousing. Data analytics and data science. Relational, dimensional, and NoSQL databases. BigData, Hive, SQL*Server, Hadoop, Cassandra, Cloud DBs like Big Query, and/or Snowflake. Strong understanding of data modeling techniques, including 3NF, Dimensional, and hybrid. Career Growth Opportunities and Learning Benefits At arenaflex, we are committed to helping our team members grow and develop their careers. As a Senior Data Modeler, you will have the opportunity to work on complex and challenging projects, with the support of a talented and experienced team. You will also have access to training and development programs, including mentorship, coaching, and education assistance. Additionally, you will have the opportunity to work with cutting-edge technologies and tools, with the freedom to innovate and try new approaches. Professional Development Ongoing training and development programs. Mentorship and coaching from experienced professionals. Education assistance and tuition reimbursement. Opportunities for career advancement and growth. Work Environment and Company Culture At arenaflex, we are proud of our diverse and inclusive company culture. We believe that our team members are our greatest asset, and we are committed to creating a work environment that is supportive, collaborative, and fun. As a Senior Data Modeler, you will be part of a talented and experienced team, with the opportunity to work on complex and challenging projects. You will also have access to a range of benefits and perks, including flexible working hours, remote work options, and a comprehensive compensation package. Company Culture Diverse and inclusive work environment. Collaborative and supportive team culture. Flexible working hours and remote work options. Comprehensive compensation package, including benefits and perks. Compensation, Perks, and Benefits At arenaflex, we offer a comprehensive compensation package, including a competitive salary, benefits, and perks. As a Senior Data Modeler, you can expect to earn a salary range of $70-$80 per year, depending on your experience and qualifications. You will also have access to a range of benefits, including health insurance, retirement savings, and paid time off. Additionally, you will have the opportunity to participate in our bonus and incentive programs, with the potential to earn additional compensation based on your performance. Compensation and Benefits Competitive salary range of $70-$80 per year. Comprehensive benefits package, including health insurance and retirement savings. Paid time off and flexible working hours. Bonus and incentive programs, with the potential to earn additional compensation. Conclusion If you are a motivated and talented individual who is passionate about data modeling and retail, we encourage you to apply for the Senior Data Modeler role at arenaflex. As a member of our team, you will have the opportunity to work on complex and challenging projects, with the support of a talented and experienced team. You will also have access to a range of benefits and perks, including flexible working hours, remote work options, and a comprehensive compensation package. Don't miss out on this exciting opportunity to join our team and help shape the future of retail. Apply now to become a part of the arenaflex team! Apply for this job