1

Posit Jobs (NOW HIRING)

This posit ion islocatedand works out ofBelleville, MI. Schedule: * Tuesday- Friday 4:00 AM - 2:00 PM Requirements * Must be at least 24 years old. * Class A commercial driver's license (CDL) is ...

... Posit platforms and deployment tooling Ensure solutions are reproducible, welldocumented, and designed for longterm value rather than oneoff analysis Present insights, implications, and ...

... leveraging Posit platforms and deployment tooling • Ensure solutions are reproducible, well-documented, and designed for long-term value rather than one-off analysis • Present insights ...

Showing results 21-40

Posit information

See salary details

$31.5K

$69.7K

$133K

How much do posit jobs pay per year?

As of Aug 12, 2026, the average yearly pay for posit in the United States is $69,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a posit data analyst?

To thrive as a Data Analyst at Posit, you need strong analytical skills, expertise in statistics, and proficiency in R or Python, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Posit (formerly RStudio), SQL databases, and data management platforms is essential. Excellent problem-solving, communication, and collaboration skills help you interpret data and share insights effectively across teams. These skills are vital for transforming complex datasets into actionable business intelligence and driving data-informed decisions.

What are some of the common challenges faced by a posit data scientist when working on collaborative analytics projects?

As a data scientist at Posit, collaborating across teams often means balancing the needs of diverse stakeholders, from engineers to business leaders. One common challenge is ensuring consistent data documentation and reproducibility, especially when multiple team members are working on shared codebases or analytical workflows. Additionally, you may need to communicate complex statistical findings to non-technical audiences and adapt your approach to fit evolving project requirements. Developing strong communication and project management skills can help you navigate these challenges effectively.

What is a posit?

Posits are professionals who specialize in data science and analytics using Posit (formerly RStudio) products and tools. They may work in developing, managing, or supporting data-driven projects with R, Python, and other technologies within the Posit ecosystem. Posits often help organizations analyze data, build statistical models, and create interactive reports or dashboards. Their expertise includes using Posit products such as RStudio IDE, Shiny, and Posit Connect. Posits can work in a variety of industries, including healthcare, finance, and research.

What is the difference between Posit vs Data Analyst?

AspectPositData Analyst
Required CredentialsTypically requires a background in data science, statistics, or related fields; certifications in data analysis tools are commonOften requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are beneficial
Work EnvironmentWorks in data science teams, research labs, or analytics departments, often in tech or finance industriesWorks in various industries including finance, healthcare, marketing, often in office settings
Employer & Industry UsageUsed by tech companies, research institutions, and data-driven organizationsCommon across multiple industries such as finance, healthcare, marketing, and government

While both Posit and Data Analyst roles involve working with data, Posit typically refers to a specialized data scientist or researcher focusing on advanced analytics and modeling, whereas Data Analysts primarily handle data collection, cleaning, and reporting. The roles overlap in skills and tools but differ in scope and complexity.

More about Posit jobs
What cities are hiring for Posit jobs? Cities with the most Posit job openings:
What states have the most Posit jobs? States with the most job openings for Posit jobs include:
Infographic showing various Posit job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $69,738 per year, or $33.5 per hour.

Business Analytics Product Owner

Texas Capital

Richardson, TX • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Texas Capital Bank is dedicated to helping businesses and their leaders succeed through expert financial services. The Business Analytics Product Owner will support the development of analytics solutions for the Finance & Risk pod, focusing on translating business problems into analytical products that drive executive decision-making.
Responsibilities:
• Lead the development and execution of the Finance & Risk analytics roadmap; contribute to prioritization decisions and help translate requirements into technical specifications with stakeholders and data engineers
• Develop analytics applications in Streamlit, Posit, and our existing BI platforms; own the full lifecycle from requirements to production deployment and ongoing iteration
• Write SQL and Python for business logic, measures, and semantic layer definitions that drive accuracy, consistency, and strong performance
• Validate that data engineering output meets business needs; provide actionable feedback on data freshness, accuracy, completeness and overall usability
• Gather requirements from Finance & Risk teams; present findings to executive leadership with a clear articulation of business impact and decision implications
• Explore and pilot agentic AI use cases for Finance & Risk analytics; identify opportunities where AI can augment human analysis, improve efficiency, or create new business value
Qualifications:
Required:
• 5+ years of hands‑on experience in analytics, analytics engineering, BI development, or data science experience (or equivalent practical experience)
• Advanced SQL (e.g., CTEs, window functions, performance tuning) and Python for data manipulation (pandas/NumPy), with clean, version‑controlled code (git workflows)
• Strong understanding of dimensional modeling concepts (e.g., star schemas, conformed dimensions, and SCD handling) and the ability to apply these principles when defining business logic, metrics, and semantic layers (hands‑on model development is helpful but not required)
• Experience with Snowflake or another modern cloud data warehouse, with willingness to deepen Snowflake expertise
• Interactive dashboard development in a modern BI platform (Power BI, Sigma, Looker, or similar), with attention to usability and performance
• Strong communication and cross‑functional collaboration skills, including the ability to translate between business needs and technical implementation
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
Preferred:
• Analytics application development in Streamlit or Posit (or strong Python fundamentals with willingness to learn quickly)
• Familiarity with Finance & Risk domains (e.g., financial reporting/GL, budgeting & forecasting, or risk analytics)
• Exposure to agentic AI or LLM‑powered analytics
• Experience with predictive modeling, time‑series analysis, or statistical techniques
• Comfort with agile development practices, code reviews, and iterative product delivery
• Experience presenting to senior leadership (C‑suite exposure a plus)
Company:
Since our founding in 1998, Texas Capital remains impassioned by the spirit of entrepreneurship and innovation. Founded in 1998, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Texas Capital Bank logo

About Texas Capital Bank

Sourced by ZipRecruiter

Texas Capital Bank is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big banks at a scale that makes sense for our clients, with highly experienced bankers who truly invest in people's success -- today and tomorrow.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1998

Social media