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Jobgether
Jobgether

Data Scientist (Big Data Engineer) 2

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Tableau
Data warehouse
+25

Visa

U.S. visa required

Permanent role
19 hours ago
Apply now

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (Big Data Engineer) 2 in the United States.

In this role, you will leverage advanced analytics and big data engineering skills to enhance financial reporting and decision-making processes. You will work remotely with cross-functional teams, supporting finance operations and optimizing business intelligence tools. The role involves reviewing, developing, and refining queries and dashboards in Tableau, Power BI, and other visualization platforms, ensuring alignment with state financial standards. You will also assist in report design, user acceptance testing, and training, contributing to robust data-driven solutions. This position requires strong expertise in financial systems, data warehouses, and report automation in a collaborative, remote-friendly environment.

Accountabilities:

  • Support the Finance Division by reviewing and enhancing existing data queries and visualizations
  • Develop and maintain Tableau dashboards, Tableau Prep workflows, and Bridge integrations
  • Collaborate on report design, development, and implementation following best practices
  • Assist with User Acceptance Testing (UAT) and training initiatives for finance staff
  • Coordinate efforts across multiple reporting and data projects to ensure accuracy and compliance
  • Provide recommendations for query optimization and process improvements aligned with CAPPS standards
  • Ensure all project deliverables meet quality standards and are completed in a timely manner

Requirements

  • Proven experience in business intelligence reporting and data analysis
  • Strong background in Tableau Desktop, Tableau Prep, and Tableau Bridge development
  • Familiarity with Microsoft Power BI and other visualization tools is preferred
  • Experience with PeopleSoft, Data Warehouse technologies, and state financial systems (CAPPS)
  • Knowledge of Texas state budget and finance processes
  • Proficiency with Microsoft Windows and Office products
  • Excellent communication skills to present complex financial data to stakeholders
  • Ability to work independently in a remote environment while coordinating with multiple teams

Benefits

  • Fully remote work with flexible scheduling
  • Opportunity to work on impactful projects with finance and analytics teams
  • Hands-on experience with enterprise reporting tools and data warehouse technologies
  • Professional growth through collaboration on high-visibility data initiatives
  • Exposure to state-level financial systems and business intelligence best practices

Jobgether AI Matching Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

šŸ” Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

šŸ“Š It compares your profile to the job's core requirements and past success factors to determine your match score.

šŸŽÆ Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

About Jobgether

šŸ‘„11-50
šŸ“Brussels
šŸ”—Website
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