Marketing Analyst
Google Fiber
SQL
Lead Analyst, Insights & Analytics
Fifth Third Bank
full-time
Posted on:
Origin: • 🇺🇸 United States • Illinois, North Carolina, Ohio
Visit company websiteSalary
💰 $80,500 - $169,100 per year
Job Level
Senior
Tech Stack
SQL
About the role
- Leads in the analysis of data activities and engagement across the assigned organization. Responsible for developing reporting, analytics, metrics and key performance indicators while also providing in-depth analysis and recommendations for improving/enhancing line of business performance. Focus on providing value-added analysis and recommendations to support business growth. Serves as a strategic thought-leader; bridging the gap between business processes and data analytics solutions. Assist in leading the education and development of less experienced staff. Plays a crucial role in providing valuable data-driven insights and recommendations to optimize business performance, drive strategic initiatives, and solve complex business problems. Works with diverse data sets, collaborates with cross-functional teams, and makes a significant impact on our organization’s success. Works mostly self-directed, with minimal supervisory oversight. 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.
- ESSENTIAL DUTIES AND RESPONSIBILITIES: Lead complex data analytic engagements, including and requesting access to data, recommending and designing test strategies, and documenting business results and procedures performed. Strong in understanding analytic opportunities and scoping and delivering work across multiple departments. Continue to deepen business knowledge to support data analytics product development– including understanding the financial needs of businesses and the complete sales lifecycle through servicing and relationship management. Leverage deep understanding of diverse business lines to proactively generate strategic data insights and actionable recommendations, fostering a consultative partnership with stakeholders. Evaluate and improve design of reports and processes to ensure that analytical tools evolve as the business changes. Conduct ad-hoc analysis and present findings to key stakeholders in a clear and concise manner. Develop, implement, and maintain reports, dashboards, metrics, KPIs, and data visualizations to support business needs and facilitate data-driven decision-making. Understands and leads peers in the identification of key business factors (both internal and external) that impact the business. Maintain an up-to-date knowledge base to keep current on existing and emerging issues; apply this knowledge to assist business managers in growing their business. Responsible for manipulating large data files and transforming the data into business information that helps fulfill strategic objectives. Ability to analyze large datasets to identify trends, patterns, and opportunities for improvement. Develop trend analyses, other quantitative reports to determine business trends and develop analytical models to identify patterns in data. Develop solutions and recommendations for improving data integrity issues. Provides feedback and coaching to other data analysts, guidance to less experienced staff. Independently research and implement industry best practices for Data Analytics. Establishes, fosters and maintains working relationships with peers and management within Bancorp, lines of business, and other partners and key stakeholders. Self-drive continued data analytic learning. Strengthen familiarity with regulations that impact the organization. Enhance proficiency with risks as applied to the organization’s analytics: credit risk, market risk, operational risk, liquidity risk, climate risk, reputational risk, cyber risk, regulatory risk, and strategic risk.
Requirements
- Bachelor's degree in Computer Science, Management Information Systems, Business Analytics, Statistics, Mathematics, Economics, Engineering, Finance, or related field, or equivalent experience. Certifications preferred. Typically, minimum 6 years in banking, financial services, or similar background. Commercial Banking experience preferred. Typically, minimum 6 years data analytics experience. Advanced in data analytics tools, languages, and methodologies such as SAS, SQL, Excel, and Microsoft Power Suite (Power BI, Power Apps, Power Automate); can write complex SQL queries against a variety of data sources and perform advanced data discovery. Ability to review, analyze, gain insights, and present conclusions and recommendations from complex qualitative and quantitative datasets into solutions. Comprehensive understanding of commercial metrics, reporting standards, and reporting experience. Exceptional analytical and research skills, with the ability to gather information quickly and to synthesize into actionable information. Experience performing advanced data discovery techniques such as exploring system tables and identifying necessary data. Strong interpersonal skills and ability to work across departments to achieve mutually beneficial results. Strong written and oral communication skills; ability to present information succinctly and visually in PowerPoint. Self-motivation and self-starter skills, proactive, and able to work independently with limited supervision. Demonstrated ability to translate business requirements into solutions utilizing a customer-friendly approach.
