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Experience With Business Intelligence software (Microsoft Power BI, Tableau and SQL). Basic Requirements: Bachelor's Degree and 6 years of experience in Analytics, or modeling, or reporting OR High School Diploma or GED and 10 years of experience in Analytics, or modeling, or reporting Skill(s): Proficient in SAS applications, Microsoft Word, Excel, PowerPoint and Visio, Database management experience Preferred Requirments: Experience in Banking and Finance Industry, preferably within credit analysis, underwriting or credit risk oversight.
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Knowledge of data modeling, dimensional modeling, data quality, and metadata managementProficiency in programming languages (e.g., Python, R), data analytics tools (e.g., SQL, Tableau), and machine learning frameworks (e.g., TensorFlow, PyTorch.
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Familiarity with programming for data analysis is required; preferably, SQL, Python, and R. Experience with machine learning, data-modeling, and data-visualization software such as TensorFlow, Tableau, PowerBI, or similar software programs is also required.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Orgvue, the leading organizational design and planning software platform, captures the power of data visualization and modeling to build more adaptable, better performing organizations.
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Predictive modeling/estimation to analyze outcomes in areas such as Loss forecasting, ALLL/ACL, Stress testing, or other adjacent areas with consumer credit impairment estimation; Using data visualization tools such as Tableau and/or Power BI.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) On Shape of Solidworks CAD modeling skills. Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.
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Advanced experience using Excel required and experience working with modern data analytics and reporting tools (Business Objects, SQL, SSMS, SSIS, R, PowerBI, Tableau) preferred. Excellent MS Excel financial modeling and data mining skills, with demonstrable experience working with complex models, is a necessary requirement.
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Strong skills in various data analysis and visualization tools including SQL, Tableau, Excel, and PowerPoint are required. Minimum of ten (10) years’ experience in credit risk policy & analysis, credit risk management or modeling in financial services industry.
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QUALIFICATIONS Education and Experience requirements: Requires bachelors’ degree from a four year college or university with 10+ plus years of in depth hands on experience in data modeling, SQL and 3+ years in Denodo.
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The Data Architect will be responsible for setting standards around data modeling, data integration and data engineering best practices and data security design. Experience with data engineering tools such as Informatica PowerCenter / IICS and data modeling tools.
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Tableau dashboard development, SQL, Python, Data warehousing, Performance optimization. Required - Tableau, Power BI, Cognos, Excel, SQL, (ODS, EDS, EDW, Data Marts), Business Intelligence, dimensional modeling.
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Advanced Excel, PowerPoint and R skills; intermediate skills with Tableau, Python, SQL. Advanced Analytics, R/ Python, Data Modeling. Establish and maintain regular automated reporting that analyzes data from multiple sources to provide insights into the performance of the mobile business leveraging Tableau and other data visual tools.
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REQUIREMENTS Master’s Degree in Analytics, Engineering, Mathematics, Statistics, or related field Minimum of eight (8) years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling, or related field Prior team management experience Knowledge of statistical modeling and data science concepts Hands on experience with SQL, Python, and data visualization tools such as Tableau Financial services experience highly desirable.
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Position also requires two (2) years of experience in each of the following: Agile methodologies or SAFe Software Development Principles; Designing data models and solutions for analytical and reporting use cases; Machine learning, statistical analysis, and predictive modeling; Python, R, and SQL; Hadoop, Hive, MySQL, and NoSQL; Tableau and Power BI; and Software development lifecycle.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
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Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.