Demo

AI Analyst I

Synovus
Atlanta, GA Full Time
POSTED ON 3/1/2025
AVAILABLE BEFORE 5/29/2025

Job Description

Job Summary

We are seeking a motivated and detail-oriented AI Analyst with a foundational understanding of artificial intelligence (AI) concepts. In this entry-level role, you will be responsible for analyzing data, supporting AI system development, and contributing to the preparation, evaluation, and deployment of AI models. This is an exciting opportunity for individuals looking to combine data analytics expertise with emerging AI technologies to drive business innovation.

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 Requirements

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
  • Additional Information

    Preferred Skills

  • Technical Expertise :
  • Strong proficiency in data analysis tools and techniques.
  • Programming experience with Python, R, or SQL, including familiarity with data manipulation and visualization libraries (e.g., pandas, NumPy, Matplotlib, ggplot2).
  • Exposure to AI tools and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
  • Understanding of machine learning concepts such as supervised / unsupervised learning, feature engineering, and model evaluation.
  • Analytical and Problem-Solving Skills :
  • Ability to identify patterns, trends, and insights from large datasets.
  • Aptitude for solving complex problems through creative data-driven solutions.
  • AI-Driven Capabilities :
  • Familiarity with natural language processing (NLP) techniques or tools is a plus.
  • Experience working with pre-trained AI models or APIs (e.g., OpenAI, Google Cloud AI, or AWS AI services).
  • Knowledge of data preparation techniques for AI models, including data cleaning, augmentation, and feature selection.
  • Soft Skills :
  • Strong communication skills to articulate technical insights to non-technical stakeholders.
  • A growth mindset and eagerness to learn about emerging AI technologies and industry trends.
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