✦ Luna Orbit — Data & Analytics

Data Analyst

at Ameriprise Financial

📍 2 Locations Hybrid Posted March 16, 2026
Type Not Specified
Experience entry
Exp. Years 1-3 years
Education Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field; Master's preferred
Category Data & Analytics

This role involves supporting data science initiatives by analyzing large datasets, developing dashboards, and experimenting with AI models like LLMs to generate business insights.

  • Support data science initiatives
  • Collect and clean data
  • Develop dashboards
  • Evaluate machine learning models
  • Collaborate with teams

Proficiency in SQL, Python, Tableau, Power BI; experience with machine learning and large language models; data exploration and visualization skills.

The ideal candidate is a detail-oriented data analyst with 1-3 years of experience in data analysis, proficient in SQL, Python, Tableau, and Power BI. They should have a foundational understanding of machine learning and large language models, with strong communication and teamwork skills, ready to support data-driven initiatives in a hybrid environment.

SQLPythonTableauPower BIData analysisData explorationData cleaningData visualization
Machine LearningLarge Language ModelsCloud platforms (AWSGoogle Cloud)Financial domain knowledgeVersion control (Git)
SQLPythonTableauPower BIAWSGoogle CloudGit
SQLPythonTableauPower BIMachine LearningLarge Language ModelsData AnalysisData ExplorationData CleaningData Visualization
SQLPythonTableauPower BIMachine LearningLarge Language ModelsData AnalysisData ExplorationData CleaningData Visualization
analytical thinkingproblem-solvingcommunicationteamworkproactive attitude
Industry Financial Services / Fintech
Job Function Data analysis and visualization for business insights
Role Subtype Data Analyst
Tech Domains SQL, Python, Tableau, Power BI, Google Cloud Platform, Amazon Web Services, Git
data analystSQLPythonTableauPower BImachine learninglarge language modelsdata analysisdata explorationdata cleaningdata visualizationhybridfinancial datacloud platformsGCPAWSGitproactiveteamworkcommunication

Lack of proficiency in SQL or Python, No experience with data visualization tools, Inability to work in hybrid mode, No experience with machine learning or LLMs

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