Data Analyst II

Job Summary

Provides customer analytics and performance reporting that drive business priorities for internal parners in Marketing and Brand Experience, Consumer, Community and Wholesale Banking lines of business. Designs and maintains customer and segment scorecards, dashboards and reports that offer visibility into our customer base. Develops and delivers customer behavioral analyses that answer critical business questions, validate assumptions and debunk myths. Works with customer household, account and transaction data to support, execute, and measure business strategies to drive revenue, improve customer experience, and reduce costs.

Job Duties And Responsibilities

• Performs data mining and customer analysis. Works with business partners to define issues and information needs and translates them into specific data/technical requirements to support business initiatives and projects.
• Researches, compiles, and performs complex analysis on critical customer, account, and transactional data using tools such as SQL Assistant, Databricks, Power BI, etc.
• Maintains necessary processes, controls and procedures to ensure data accuracy and integrity. Leverages multiple internal or external information sources and ensures adherence to data management/data governance regulations and policies.
• Remains current on best practices of business analytics trends, techniques and tools. May identify emerging trends in technology and analysis as opportunities for future business growth and development.
• Manages multiple assignments simultaneously and completes assignments within established time frames. Keeps all facts straight and communicates key points succinctly.
• Presents complex material to all levels of management in a digestible, consumable manner.
• May work closely with the analytics' data science team to identify location, structure, and function of data related to modeling projects. Tracks down programs, data sources and crafting queries to power programs.
• May be responsible for designing and developing data visualization solutions according to business requirements to effectively communicate insights and provide performance measurement solutions to business decision makers.
• May be a liaison between business units, technology teams, finance teams and other support teams.
• May develop content for communication strategies across multiple lines of business; develops and supports communication tools; creates engaging and informative presentations that communicate results to management and executive audiences.
• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.
• Performs other related duties as required.
  
  

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Synovus is an Equal Opportunity Employer supporting diversity in the workplace

Minimum Education:

• Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Finance, Computer Science or a related quantitative discipline and/or business or an equivalent combination of education and experience.
  
  

Years of Experience:

• 2 Years
  
  

Minimum experience:

• Two or more years of hands-on data wrangling, reporting, analytics, data programming, or technical experience in consumer data and marketing database technology
  
  

Required Knowledge, Skills, & Abilities:

• Knowledge of the industry's standard business practices, products, and services
• Comfortable working with fluid priorities and tight deadlines
• Strong analytical skills with high attention to detail and accuracy
• Demonstrated data management skills utilizing a large and complex database environment
• Excellent analytical, problem-solving, and conceptual skills
• Proficiency in basic data modeling principles
• Excellent verbal and written communication skills
• Excellent technical skills using tools such as SQL Assistant, SAS, Spotfire, Tableau, etc.
• Highly proficient in MS Word, MS Excel, MS PowerPoint
  
  

Preferred Knowledge, Skills, & Abilities:

• Experience with SQL scripting, PowerBI or Databricks is preferred.
• Job related experience in the financial services industry
• Working knowledge of regression, driver analysis, and more complex data modeling principles
• Experience with cloud base marketing campaign management systems, performance analytics and attribution analysis