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Aquent is proud to partner with a leading technology company at the forefront of innovation, dedicated to solving complex challenges and shaping the future of digital experiences. This is an incredible opportunity to join a team that values creativity, collaboration, and impactful contributions, where your work directly influences critical data infrastructure and decision-making processes. Are you a passionate data enthusiast eager to make a tangible impact? We are seeking a talented individual to step into a pivotal role where you'll be instrumental in transforming raw data into actionable insights and robust solutions. This is your chance to build, optimize, and secure the very pipelines that fuel data-driven innovation, working with cutting-edge technologies and collaborating with diverse teams. You'll contribute directly to enhancing system efficiency, reliability, and scalability, ensuring that data is not just collected, but truly empowers strategic initiatives across the organization. If you thrive in a dynamic environment and are ready to contribute to the core of a world-class data ecosystem, we want to hear from you!
Job Responsibility
Design and develop compelling data visualizations and features using both internal and external business intelligence tools, guiding stakeholders through complex data stories
Provide essential ongoing support for data users by maintaining and optimizing reports, queries, and dashboards, ensuring data accessibility and accuracy
Conduct in-depth exploratory data analysis and profiling, leveraging custom data infrastructure and existing models to uncover critical insights
Collaborate closely with internal partners to deeply understand their needs, clarify requirements, and translate business challenges into technical data solutions
Drive data-driven decision-making by expertly collecting, transforming, and publishing high-quality data
Deploy, leverage, and continuously refine pre-existing machine learning models, and actively learn and implement new storage and machine learning serving systems
Build and scale common frameworks and infrastructure to implement robust business solutions, following best practices for data discoverability, lifecycle management, and master data governance
Engineer, operationalize, secure, and monitor advanced data processing systems, with a strong focus on security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability
Develop and maintain sophisticated data models, pipelines, and exchange formats crucial for data visualization, analysis, interpretation, and machine learning training
Consult with various stakeholders to identify data sources, define required data elements, and establish rigorous data validation standards
Partner with engineering teams to understand and influence logging and transactional storage strategies
Collaborate with data scientists on machine learning training and feature engineering for advanced models
Requirements
Demonstrated proficiency in code comprehension and strong programming skills
Excellent information gathering and analytical abilities
Solid understanding and practical experience in project management principles
Expertise in data exploration techniques and tools
Experience with big data infrastructure
Foundational knowledge of Machine Learning concepts
Proven ability in stakeholder management and cross-functional collaboration
Proficiency in data pipeline (ETL) design and data modeling
Understanding of statistical concepts and experience with Business Intelligence (BI) tools