Role Description The Analytics Engineer II (multiple positions) at Republic Services, Inc. in Phoenix, Arizona will assist in the design, development, maintenance, and continuous refinement of analytics and reporting solutions. Responsibilities include: - ETL processes, data warehouses, cubes, dashboards, and model deployment. - Staying up-to-date on the latest technology and implementing proof-of-concepts. - Maintaining system and tool documentation. - Troubleshooting pricing optimization algorithms and rules-based pricing recommendations. - Collaborating with internal customers, analysts, developers, data scientists, and database administrators. - Providing underlying data support for business metrics. - Writing ETL scripts using SQL Server Integration Services (SSIS) or similar tools. - Designing and building automated processes leveraging Excel, SQL, and VBA. - Designing dashboards and tools for user interaction with data. - Implementing in-database machine learning solutions using SQL Server and R or Python. - Ensuring security and integrity across all data. - Troubleshooting and debugging issues. - Telecommuting permitted as business needs allow up to 5 days per week. Qualifications - Bachelor’s degree in Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics or related analytical field. - Three years of experience in data analytics, data engineering, or related occupation. - Three years of experience in programming in SQL and R or Python. - Three years of experience in deploying analytics models and tools in a production environment with relational databases. Requirements - Education and experience may be gained concurrently. Benefits - Comprehensive medical benefits coverage, dental plans and vision coverage. - Health care and dependent care spending accounts. - Short- and long-term disability. - Life insurance and accidental death & dismemberment insurance. - Employee and Family Assistance Program (EAP). - Employee discount programs. - Retirement plan with a generous company match. - Employee Stock Purchase Plan (ESPP). - Paid Time Off (PTO).

• Assist in building and maintaining data models, reporting systems, and data automation systems that support key business decisions. • Assist in staging data from multiple sources for integration into models. • Monitors the performance of analytic solutions and reports issues to senior engineers. • Implements quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements. • Develops and maintains documentation of models, user guides, policies, and procedures. • Assists with employee training on newly developed models. • Adhere Data Governance first mindset and ensure that all data is managed in accordance with HIPAA and departmental and corporate guidelines.

Role Description This position will be responsible for business intelligence and analytical thought leadership related to the creation, execution and maintenance of analytics needs for the Third Party Management (TPM) division. Serves as the analytics subject matter expert for the TPM division and utilizes various analytical tools to optimize existing departmental reporting and create new processes to ensure that key strategic decisions are identified and supported by data sources. This position also acts as the system administrator for key systems used by the Third Party Management team. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring and reporting risks of all types. Qualifications - Bachelor's degree in Finance, Business, Economics, Information Technology, or equivalent education and/or related training. Master's degree preferred. - Seven+ years of previous experience working with advanced analytics. - Extensive experience implementing and/or utilizing business intelligence tools (SAS, SPSS, SAP Business Objects, Tableau, etc.) for the purpose of mining/manipulating key data sources. - Proven ability to work in a dynamic cross-functional work team for the purpose of learning and applying new analytical skills in response to constantly changing business needs. - Ability to effectively communicate findings, analyses, implications, and recommendations to stakeholders across all levels of the organization. - Ability to initiate, execute, and lead multiple projects under competing deadlines and shifting priorities in a fast-paced operating environment. - Previous Vendor Management, Third Party Risk Management, or Procurement experience preferred. - Highly proficient in Microsoft Excel. Demonstrated ability to learn and understand systems such as GEAC and procure to pay applications. Requirements - Provide forward-thinking approaches to managing and growing the role of Third Party Management Analytics insights across internal customer segments. - Assume a leadership role in educating key stakeholders and provide oversight around the change management needs related to this effort. - Educate key stakeholders on the value of data analytics. - Partner with internal customers to help them define and build both current and future-state data management and measurement strategies. - Lead multiple engagements (from ideation to execution) aimed at addressing current business challenges. - Serve in the thought-leader role, working closely with Third Party Management leadership and other key business partners to set overall analytics direction and define success criteria for each initiative. - Identify, build, and sustain key customer partnerships. Serve as the primary analytics contact for aligned center-of-excellence (COE) partners. - Oversee data governance, data manipulation and data analysis for assigned areas of focus. - Assume a leadership role in identifying possible data enhancements and ongoing process improvement opportunities. - Utilize multiple advanced mining tools (SAS, SAP Business Objects, Tableau, etc.) to produce analytics/insights for internal/external business partners. - Develop a thorough understanding of the data models, infrastructure, existing enterprise system relationships, and key business models related to TPM and the overall organization. - Extract and evaluate information gathered from multiple sources, resolve data conflicts, and customize communication of key data findings to diverse audiences based on business need. - Serve as a subject matter expert with regards to business intelligence and advanced analytics. - Drive and challenge key stakeholders on any data assumptions tied to the execution of their strategic plans. - Act as the system administrator for assigned Third Party Management systems and tools. Benefits - Total Base Pay Range: 96,500.00 - 207,500.00 USD Annual. - Eligible to participate in an incentive compensation plan based on company, line of business and/or individual performance. - Extensive benefits programs designed to support the individual needs of employees and their families, encompassing physical, financial, emotional and social well-being. Company Description Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

Role Description We are looking for a Senior Data Analytics Engineer to help us optimize our business strategy using the latest data techniques. This role is key to setting the roadmap for a highly efficient and scalable data function that will grow with the ambitious plans for the business. Reporting to Product, you will collaborate with Product, Engineering, Data Science, and the wider organization. You will build and maintain new data models, optimize existing ones, and work with a wide variety of technologies and datasets to drive real insight and recommendations. You'll be a driving force in identifying trends, quantifying opportunities, and setting the requirements to develop data-driven solutions that have a direct impact on the business. Our current Data Platform tech stack includes: - Data Lakehouse: Databricks - Cloud & Infrastructure: AWS (S3, Lambda), Kubernetes - Data Processing: Python is our primary language - Orchestration & Transformation: dbt, Fivetran, and Airflow - Visualization: Mode and similar BI tools - Data monitoring and alerting: Metaplane What You'll Do - Data Modeling & Pipelines: Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting. Where needed, deliver dashboards to drive more self-service on data among teams. - Stakeholder Collaboration: Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making. - Strategic Analysis: Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights. - Data Governance & Quality: Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers. - Champion Data Culture: Champion the use of data to optimize business performance and bring fresh analytical ideas to the table. - Communication & Presentation: Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences. - Process Improvement: Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure. - Data Cleansing & Transformation: Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources. - Insight Storytelling: Translate complex analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences, influencing strategic decision-making. Qualifications - Highly proficient with daily use of SQL and hands-on experience in a modern cloud data warehouse/lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake). - Comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines. - Ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews. - Problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer. - Strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of technical solutions. - Advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards. - Passionate about learning, able to quickly adopt new business concepts and technologies, and an independent, curious person who likes to take initiative. - Open mind with respect to diversity and inclusivity. Bonus Points - Familiarity with dbt to design and implement data models. - Experience with data orchestration tools. - AML Transaction Monitoring definition, calibration, testing and documentation. Experience with regulatory testing regimes such as DFS rule 504 a plus. - Customer risk rating definition, calibration, testing and documentation. Benefits - Unlimited annual leave - Great healthcare benefits - Employee discounts