We're looking for a Business Intelligence Engineer Lead to drive the next evolution of our ... Experience with R or Shiny is a plus. * Excellent communication skills with the ability to ...
We're looking for a Business Intelligence Engineer Lead to drive the next evolution of our ... Experience with R or Shiny is a plus. * Excellent communication skills with the ability to ...
We're looking for a Business Intelligence Engineer Lead to drive the next evolution of our ... Experience with R or Shiny is a plus. * Excellent communication skills with the ability to ...
We're looking for a Business Intelligence Engineer Lead to drive the next evolution of our ... Experience with R or Shiny is a plus. * Excellent communication skills with the ability to ...
Freelance R Shiny Developer information
What is the difference between Freelance R Shiny Developer vs Data Analyst?
| Aspect | Freelance R Shiny Developer | Data Analyst |
|---|---|---|
| Required Skills | Proficiency in R, Shiny, web app development | Data manipulation, visualization, statistical analysis |
| Work Environment | Independent, project-based, remote or on-site | Corporate or organizational settings, often full-time |
| Certifications | R programming, Shiny development experience | Data analysis, statistics, or related certifications |
| Industry Usage | Tech, healthcare, finance, research projects | Business intelligence, market research, reporting |
While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.
What are the key skills and qualifications needed to thrive as a Freelance R Shiny Developer, and why are they important?
To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.
What are Freelance R Shiny Developers?
Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.
What are some common challenges faced by freelance R Shiny developers when working with clients remotely?
Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.
What are the most commonly searched types of R Shiny Developer jobs in Utah? The most popular types of R Shiny Developer jobs in Utah are:
What are popular job titles related to Freelance R Shiny Developer jobs in Utah? For Freelance R Shiny Developer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance R Shiny Developer jobs in Utah look for? The top searched job categories for Freelance R Shiny Developer jobs in Utah are:
What cities in Utah are hiring for Freelance R Shiny Developer jobs? Cities in Utah with the most Freelance R Shiny Developer job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 4 days ago
Job description
Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We're looking for a Business Intelligence Engineer Lead to drive the next evolution of our analytics ecosystem - empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization.
If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what's possible in business intelligence (including responsible AI adoption), this role is for you.
How you'll make an impact:
What you'll need to succeed:
Why Join Us:
More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Are you passionate about transforming data into insight and impact? Snap Finance is redefining the future of financial technology through innovation, intelligence, and accessibility. We're looking for a Business Intelligence Engineer Lead to drive the next evolution of our analytics ecosystem - empowering teams through exceptional data visualization, robust data modeling, and smart BI platform optimization.
If you live and breathe data, love clean models and beautiful dashboards, and want to push the boundaries of what's possible in business intelligence (including responsible AI adoption), this role is for you.
How you'll make an impact:
- Lead the design, development, and maintenance of high-impact BI dashboards and data visualizations that drive strategic decision-making across all levels of the business.
- Collaborate closely with business stakeholders to translate business needs into technical requirements, define meaningful KPIs, and ensure insights align with company goals.
- Architect and maintain scalable data models, ensuring performance, integrity, and usability across multiple data domains.
- Write and optimize advanced SQL (Presto, PostgreSQL, or equivalent) for analysis, dashboard feeds, and automation pipelines.
- Oversee and continuously improve our Tableau ecosystem (or equivalent BI platforms) - including governance, content strategy, performance optimization, and user enablement.
- Use Python to automate workflows, enrich datasets, and build repeatable analytical frameworks.
- Develop and maintain advanced Excel models and visualizations, integrating them with BI tools where appropriate for ad-hoc analysis and executive reporting.
- Collaborate with Data Engineering, Analytics, and Product teams to align BI architecture with business needs and system capabilities.
- Champion best practices in visualization design, storytelling, and performance tuning.
- Evaluate and introduce AI-driven efficiencies within the BI space - from intelligent data preparation to automated insights - while maintaining technical rigor and human oversight.
- Mentor analysts and BI developers, setting standards for data modeling, dashboard development, and analytical quality.
- Ensure a culture of data trust, scalability, and continual improvement across the BI environment.
What you'll need to succeed:
- 5+ years of experience in business intelligence engineering, data analytics, or a related technical field.
- Deep expertise in SQL - capable of building, optimizing, and mentoring on complex query logic and data modeling.
- Proficiency in Python for data processing, automation, and integration workflows.
- Expert-level skills in Tableau and Excel - capable of creating dynamic dashboards, advanced formulas, pivot tables, macros, and interactive visualizations.
- Proven experience in data modeling for analytics - star/snowflake schemas, semantic layers, and KPI standardization.
- Strong experience working with business stakeholders to define KPIs, build requirements, and deliver insights that drive measurable outcomes.
- Strong understanding of data architecture principles and how BI fits into the larger data ecosystem.
- Curiosity and openness to AI and automation - an eagerness to apply emerging tools to make BI faster, smarter, and more scalable.
- Experience with R or Shiny is a plus.
- Excellent communication skills with the ability to translate complex data into clear, compelling business insights.
- A leadership mindset that combines technical excellence with mentoring, collaboration, and the drive to raise team capability.
Why Join Us:
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice
About Snap Finance
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
1,001 - 5,000 Employees
Headquarters location
Salt Lake City, UT, US
Year founded
2012