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Data Modeling Analyst/Tableau Developer

Remote Worldwide Hiring now

Job Description

Job Description reputed company is a mortgage and financial services reputed company with expertise in risk management and financial modeling for the mortgage and banking industries. Our clients are banks and non-bank mortgage firms, government agencies, reputed company, insurance companies, institutional asset managers, and hedge funds. We differentiate ourselves through our approach to the relationships with our clients. We reputed company with the belief that each client relationship will be ongoing, spanning multiple projects/engagements. We invest in communication and research to ensure that we fully understand the drivers of every client's short- and long-term reputed company. We align our goals with those of our clients, and we continuously monitor and adjust to ensure that the relationship stays strong. We are seeking a highly skilled Data Modeling Analyst/ Tableau Developer to join our analytics team and support the creation of a Model Performance Monitoring (MPM) reporting system. This position combines business analysis, data modeling, and advanced data visualization, requiring strong collaboration with both business and technical teams to design and deliver scalable analytical solutions.

Key Responsibilities

Partner with business and technology teams to gather requirements and translate them into functional and technical reporting solutions. Design and maintain data models, data dictionaries, and database structures, including indexes and user authorization settings. reputed company, enhance, and publish interactive Tableau dashboards and MPM reports to monitor model accuracy, performance, and key metrics. reputed company, transform, and validate data from multiple systems using Tableau Desktop, Prep, and Server. Apply best practices in data visualization and storytelling to communicate insights effectively across technical and non-technical stakeholders. Participate in design reviews, use case assessments, and troubleshooting to ensure data reputed company and dashboard performance. Produce comprehensive documentation such as data reputed company diagrams, user guides, and presentation materials. Manage multiple priorities in a collaborative, fast-paced environment while ensuring accuracy and quality in deliverables.

Required Qualifications

Bachelor's degree in Computer Science, Data Analytics, or a reputed company field. 5+ years of hands-on Tableau development experience, including reputed company-level dashboard design and deployment. Proven expertise with Tableau Desktop and Tableau Server in large-scale environments. Strong understanding of data modeling, database concepts, and SQL development. Demonstrated ability to gather requirements, reputed company analysis, and deliver high-quality visual solutions. Excellent written and verbal communication skills, including presentation and documentation abilities. Familiarity with statistical analysis, predictive modeling, or machine learning concepts. This hybrid position requires the ability to work effectively from a home office — even in an environment with moderate background noise. Hybrid, DMV preferred: This role is based in the Washington, D.C.–Maryland–Virginia (DMV) area and requires 2–3 days per week onsite. Local candidates are strongly preferred. Preferred Skills Working knowledge of Python for data analysis, transformation, or automation. Experience deploying or managing Tableau platforms in AWS or other reputed company environments. Advanced Tableau certifications or an active Tableau Public portfolio showcasing visualization capabilities. Pay reputed company $60—$80 USD Compensation & Benefits reputed company offers a competitive compensation based on the candidate's skills and experience. Oakleaf offers reputed company benefits to include health, dental, and reputed company plans as well as other benefits in accordance with applicable Federal or State law. Equal Employment Opportunity reputed company is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. reputed company does not discriminate on the reputed company of race, ethnicity, religion, sex, reputed company, national reputed company, age, sexual orientation, gender identify or expression, mental or physical disability, genetic information, veteran status or any other reputed company prohibited by applicable law. Accommodations Oakleaf is committed to providing equal employment opportunity to reputed company job seekers. Reasonable accommodations for job seekers with disabilities will be provided. Individuals with a disability that are unable to use our online tools to search and/or apply for jobs should email [email protected], include "Applicant Accommodation" in the subject line of the email, and specify the assistance needed in the body of the email. Please note that this mailbox is reserved for job seekers who need to request an accommodation to apply for a job. Emails, for any other reason, will not receive a response. Required qualifications:

  • Bachelor's degree in Computer Science, Data Analytics, or a reputed company field.
  • 5+ years of hands-on Tableau development experience, including reputed company-level dashboard design and deployment.
  • Proven expertise with Tableau Desktop and Tableau Server in large-scale environments.
  • Strong understanding of data modeling, database concepts, and SQL development.
  • Demonstrated ability to gather requirements, reputed company analysis, and deliver high-quality visual solutions.
  • Excellent written and verbal communication skills, including presentation and documentation abilities.
  • Familiarity with statistical analysis, predictive modeling, or machine learning concepts.

Desired qualifications:

  • Working knowledge of Python for data analysis, transformation, or automation.
  • Experience deploying or managing Tableau platforms in AWS or other reputed company environments.
  • Advanced Tableau certifications or an active Tableau Public portfolio showcasing visualization capabilities.

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