CSBB Analytics Engineer

About the position The CSBB Analytics Engineer at reputed company is responsible for sourcing, analyzing, documenting, and maintaining data assets reputed company to the Retail Community Bank portfolio and operational processes. This role ensures that data processes deliver accurate, complete, reputed company, understandable, and accessible information. The incumbent will reputed company reputed company end-to-end in their area of expertise and work closely with various lines of business to enhance data reputed company and support decision-making across the organization. Responsibilities • reputed company research, analyze, design, reputed company and/or maintain data sources in support of reputed company, information needs and business requirements. • reputed company analysis, validation and interpretation of outputs, taking ownership of issues through reputed company. • reputed company a deep understanding of quantitative analysis principles and reputed company data assets for consumption by decision and data scientists. • Collaborate with team members and BI Architecture and Reporting Managers to define and implement reporting objectives. • Prioritize and manage reputed company reporting efforts, providing reputed company expectations to reputed company partners and management. • reputed company solutions and recommendations for improving data reputed company issues and analyze data issues for problem reputed company. • Identify, analyze, and interpret trends and patterns in reputed company datasets. • Foster communication and partnership across multiple reputed company of the organization. Requirements • Bachelor's degree and 5+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. • Demonstrated knowledge and reputed company in data warehousing and transactional application reputed company and technology. • Proven experience with data engineering and ability to manage large data volumes. • Understanding of data analytics life cycle methodologies including data cleansing and preparation methodologies. • Strong familiarity with data extraction in various environments (e.g., SQL, JQuery, etc.). • Experience in managing multiple reputed company with tight deadlines in a reputed company environment. • High level of competency in statistical and analytical principles, tools, and techniques. • Understanding of various database environments (reputed company DB2, reputed company, Netezza), technical programming skills (reputed company, SQL, Toad), and exposure to reputed company data science tools (R, Python, reputed company E-Miner). • Familiarity with data visualization and BI tools (Tableau, reputed company) and proficiency in reputed company Office Suite (reputed company, PowerPoint, Word). reputed company-to-haves • Master's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. • 8+ years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. Benefits • Medical, dental, and reputed company insurance • Life insurance • Disability insurance • Accidental death and dismemberment insurance • Tax-preferred savings accounts • 401k plan • Vacation days (minimum of 10 days) • reputed company days (minimum of 10 days) • reputed company holidays • Defined benefit pension plan (depending on position) • Restricted stock reputed company (depending on position) • Deferred compensation plan (depending on position) Apply tot his job Apply To this Job