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Data Visualization Senior Associate - Home Lending Data & Analytics
- Jacksonville, Florida, United States
- Jacksonville, Florida, United States
À propos
Responsibilities
Design, develop, and maintain interactive dashboards and reports using Power BI and Tableau.
Transition reporting use cases toward Python-based web applications for business intelligence and data visualization.
Build, optimize, and automate data pipelines and data transformation processes using Python and SQL.
Develop custom web-based analytics solutions using Python frameworks such as Dash, Streamlit, or Flask, integrating with enterprise data sources.
Partner with business stakeholders to gather requirements, translate needs into technical solutions, and deliver actionable insights.
Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
Use Git, GitHub, and Visual Studio Code to support version control, collaboration, and high-quality delivery.
Ensure data accuracy, integrity, and appropriate data handling controls across reporting and analytics solutions.
Document technical designs, data models, and operational processes to support ongoing maintenance and knowledge sharing.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Formal training or certification on software engineering concepts and 3+ years applied experience.
3+ years of experience in business intelligence development, data analytics, or a related field.
Hands‑on experience building dashboards and reports in Power BI and Tableau.
Advanced Python proficiency, including building data‑driven web applications using Dash, Streamlit, Flask, or Django.
Advanced SQL skills, including data modeling and query optimization.
Experience with cloud data platforms, including Snowflake and Amazon Athena.
Proficiency with Git, GitHub, and Visual Studio Code in a collaborative development environment.
Strong analytical, problem‑solving, and communication skills, with the ability to work effectively with both technical and non‑technical partners.
Preferred Qualifications
Experience with continuous integration and continuous delivery pipelines and modern engineering operations practices.
Experience applying artificial intelligence techniques in dashboards, including predictive modeling, trend analysis, or anomaly detection.
Familiarity with data governance, data quality, security, and compliance best practices.
Experience using Python data libraries such as pandas, polars, and NumPy to work with large data frames.
Familiarity with SharePoint and Jira.
Benefits Competitive total rewards package including base salary, potential commission‑based pay, discretionary incentive compensation, and a range of benefits such as comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
Equal Opportunity Employer We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans.
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Compétences linguistiques
- English
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