Data Analytics - Analytics Solutions Associate

As a strategic thinker passionate about driving solutions in Data Analytics, you have found the right team. You will be responsible for performing data mining, analytics, and problem solving. You will analyze business requirements, design, build, and test to ensure the delivery of high-quality data insights and visualizations. Working closely with Product Owners and Operations, you will develop requirements and implement new capabilities. Understanding the data sources to use and ensuring team standards are adhered to will be a critical part of your role. Proactively engaging to mitigate risk through continuous process improvement, root cause analysis, and collaboration with Operations teams will also be expected. Being part of an agile team, you will engage in continuous learning as new tools/technology become available to the team. Key Responsibilities: - Perform data mining, analytics, and problem solving. - Analyze business requirements, design, build, and test for high-quality data insights and visualizations. - Work closely with Product Owners and Operations to develop requirements and implement new capabilities. - Understand data sources and ensure team standards are adhered to. - Proactively engage to mitigate risk through continuous process improvement and collaboration with Operations teams. - Engage in continuous learning as new tools/technology become available to the team. Qualifications Required: - Hold a Bachelor's or Masters degree in a quantitative field or an equivalent combination of education and/or business experience. - Accumulate 7+ years of experience in business system analysis or business application design and development roles. - Gain 5+ years of experience with SQL, Python, Alteryx, or another programming language in a work-related capacity. - Possess advanced knowledge of Microsoft Office products. - Have working knowledge with Business Intelligence tools (Tableau, Business Objects). - Experience Agile methodologies or the Software Development Life Cycle (SDLC). - Exhibit polished written and verbal communication skills; ability to clearly define and articulate business requirements, bridge the gap between business and technology, summarize findings into concise high-level points geared towards the audience, and visually depict key data and findings. - Show excellent analytical/problem-solving skills with the ability to provide sound recommendations to management.,