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Über
Responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. Interprets data and analyze results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards. Preferred Qualifications
Experience in financial services with an understanding of banking data and industry dynamics Strong problem-solving skills and a strategic mindset Advanced SQL skills for querying and analyzing large, complex datasets Expertise in building scalable, intuitive Power BI dashboards Ability to work with large datasets and perform both descriptive and advanced statistical analysis Proven ability to translate analytical findings into actionable business insights Exposure to or experience with cloud technologies such as Azure or Databricks Excellent communication and presentation skills Strong organizational skills with the ability to manage multiple priorities and work independently Adaptability and comfort navigating change in a fast-paced environment Basic Qualifications
- Bachelor's degree in a related field, or equivalent work experience - Five to seven years of statistical and/or data analytics experience Preferred Skills/Experience
- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data - Experience in analytics, advanced analytics/statistics, predictive modeling - Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets - Demonstrated project management skills - Effective interpersonal, verbal and written communication skills
Sprachkenntnisse
- English
Hinweis für Nutzer
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