Financial Data Analyst Internship aiding in data modernization and finance transformation at Tenneco. Involves automating reports and collaborating with finance leaders on data insights.
About the role
- Join U.S. Bank as an Advanced Analytics Analyst, leveraging data science for business banking insights. Collaborate with stakeholders for strategic analysis and data visualization.
Responsibilities
- Utilize descriptive statistics to summarize and interpret business banking data, providing clear insights into trends, patterns, anomalies and opportunities.
- Perform in-depth data analysis to support various business functions, ensuring data accuracy and actionable insights.
- Apply advanced statistical methods and data science techniques, including predictive modeling and machine learning, to uncover trends and drive data-driven decision-making.
- Develop and implement data science models to predict customer behavior, develop business rules and identify business opportunities.
- Design, develop, and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key metrics and insights to stakeholders.
- Ensure dashboards and reports are user-friendly, accurate, and aligned with business needs.
- Identify, source and manipulate new data sources and metrics for use in analysis.
- Build and optimize data pipelines and ETL processes to ensure seamless integration and high-quality data availability for analysis.
- Collaborate with data engineering teams to enhance data infrastructure and resolve data quality issues.
- Conduct strategic analyses to evaluate business performance, identify growth opportunities, and support strategic planning initiatives.
- Provide actionable recommendations based on data-driven insights to guide business strategies and improve operational efficiency.
- Address complex business problems with innovative analytical approaches and solutions.
- Work cross-functionally to define analytical requirements, develop solutions, and implement strategies to address business challenges.
- Develop a deep understanding of business banking dynamics and market trends to contribute to strategic initiatives and drive business transformation.
- Communicate complex data findings and insights effectively to both technical and non-technical stakeholders through compelling presentations and reports.
- Develop and deliver presentations that clearly articulate the value of analytical insights and recommendations using effective and easy to understand data visualizations.
Requirements
- Bachelor's degree in a related field, or equivalent work experience
- Six to eight years of statistical and/or data analytics experience
- Financial services experience
- Strong data querying skills using SQL and SAS
- Proficiency in descriptive and advanced statistical analysis and comfortable extracting, manipulating and analyzing large complex datasets
- Expertise in dashboard and report development using tools such as Tableau or Power BI
- Ability to understand and leverage data science and machine learning concepts in solving analytics challenges
- Excellent problem-solving abilities and a strategic mindset, with a proven track record of translating data into actionable business insights
- Success partnering with business stakeholders to bring together analytics with business knowledge to solve a business problem and provide insights & opportunities to stakeholder
- Strong presentation and communication skills, with the ability to effectively convey complex data findings to diverse audiences
- Self-starter with a strong attention to detail and an ability to deal with ambiguity
- Organized, disciplined, and can manage multiple projects simultaneously
- Certification in business analytics, data mining, data science or statistical analysis
- Master’s Degree in Business Administration, Information Systems, Statistics, Business Analytics or Data Science.
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
SG
As a Data Analyst, support the GM Client Lifecycle Administration team at SMBC. Focus on control framework enhancement, documentation, and support trading desks in governance compliance.
Data Analyst focusing on data collection, analysis, and visualization at Pague Menos. Supporting strategic insights and decision - making through effective data management and reporting.
Data Analyst Senior at Banco Daycoval, transforming data into actionable insights in governance, risks, and controls. Collaborating across teams on strategic projects with high impact.
Data Analyst supporting the education sector with operational and strategic indicators. Involves working on data consolidation and automation in a collaborative environment.
Data Specialist at Daikin responsible for data visualization and AI implementation in service operations. Driving digital transformation through advanced data analytics for business insights.
Data Analyst supporting data - based insights at Track Titan to define key questions and analyze data across all functions. Working collaboratively with teams on data points and analytics functions.
Data Analyst working on collecting and transforming data for clients in Nantes. Member of Agile team, responsible for data structuring and collaboration with Data Scientists.
Trauma Research Data Analyst assisting trauma healthcare professionals with clinical research studies. Preparing study protocols and monitoring study progress to improve care delivery and outcomes for trauma patients.
Lead Data Analyst developing dashboards and reports to support business decision - making in data science team.