
Chief Business Insights Analyst
2 weeks ago
Our organization seeks a skilled data scientist to collaborate with our Finance Analytics team. The team is responsible for developing predictive and prescriptive analytics solutions that add value to the finance function.
The ideal candidate will have hands-on experience supporting data science initiatives. They are a self-starter who takes ownership of their projects and delivers high-quality, data-driven analytics solutions. They can solve diverse business problems by utilizing various tools, strategies, algorithms, and programming languages.
Ideal candidates for this role can relate data science efforts to creating business value and solving real-world problems. They are experienced in collecting, parsing, managing, analyzing, and visualizing large datasets to turn information into insights using multiple platforms.
The data scientist should be able to develop prototypes and proof of concepts for selected solutions. They must evaluate various approaches/algorithms and make tailored recommendations for each project.
Required Skills and Qualifications- Maintain production forecast modeling pipelines, including model monitoring and refitting models as needed
- Work with business partners to understand requirements, design, and build effective solutions for complex business problems
- Integrate data from multiple sources and build robust, cross-functional data assets to support analytics
- Assess the effectiveness and accuracy of the data and determine materiality of data issues and challenges
- Perform multivariate and exploratory data analysis and communicate key findings to colleagues and business partners
- Utilize statistics and machine learning to build predictive models and tools supporting business initiatives
- Work closely with the team to perform complex analytics and data preparation tasks, including feature engineering and brainstorming potential data sources
- Communicate and present findings, including visualizations, to business partners to ensure successful integration of projects into business processes
- Bachelor's degree in Computer Science, Data Science, Statistics, Software Engineering, or related educational backgrounds
- Experience in Python programming
- Familiarity with time series modeling
- 2+ years of data science-related experience
- Excellent data analysis and advanced data manipulation techniques using SQL
- Excellent oral and written communication skills
- Experience with predictive modeling and working with data scientists is a plus
- Data visualization tool experience is also desirable
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