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Business Analyst Sql R Python Jobs in Utah (NOW HIRING)

challenger

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

Clicklease

Risk Analyst

Draper, UT · On-site

Familiarity with data analysis tools such as SQL, Python, R, Power BI, Tableau, or similar ... Familiarity with Python, R, or business intelligence tools. * Internship or academic project ...

challenger

Data Warehouse Analytics Specialist

Sandy, UT

$17 - $21.75/hr

This role combines SQL/PYTHON analysis, data warehousing, semantic modeling, business intelligence, data governance, reporting validation, and AI-enabled analytics. The position serves as a bridge ...

Stio

Data Analyst

Salt Lake City, UT · Remote

... B and its Mountain Studio retail locations. We live and love mountain life, and as such see ... Python in addition to SQL and R. AI-assisted development is the default form factor for the team.

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All JobsBusiness Analyst Sql R Python JobsBusiness Analyst Sql R Python Jobs in Utah

Business Analyst Sql R Python information

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Business Analyst Sql R Python jobs near you
Systems Analyst (banking- Temenos)

Systems Analyst (banking- Temenos)

Pointwest Technologies Corp

Salt Lake City, UT • On-site

Full-time

Re-posted 20 days ago

Job description

Job Title: Technical Business Analyst - Banking Domain (Temenos)Location: RemoteEmployment Type: Full-timeAbout the Role
We are seeking a Technical Business Analyst with proven experience in the banking and financial services industryand hands-on expertise with Temenos (T24 / Transact) systems. The ideal candidate will bridge business needs and technical solutions, ensuring the successful design, configuration, and delivery of banking applications and digital transformation initiatives.Key Responsibilities
  • Requirements Gathering & Analysis
    • Engage with business stakeholders to elicit, document, and validate business, functional, and technical requirements.
    • Translate business needs into detailed technical specifications and solution designs.
  • Temenos System Expertise
    • Analyze, configure, and support Temenos core banking modules (e.g., Retail, Lending, Payments, Deposits, Treasury, etc.).
    • Work closely with Temenos consultants and developers to implement and test system enhancements, interfaces, and integrations.
    • Support Temenos upgrades, patches, and parameterization efforts.
  • Solution Design & Implementation
    • Collaborate with architects and developers to design scalable solutions that align with business goals.
    • Review system architecture, data flows, and interface designs for consistency and performance.
  • Testing & Quality Assurance
    • Develop and execute test plans, test cases, and UAT scripts for system changes and new implementations.
    • Support defect triage, root cause analysis, and resolution tracking.
  • Stakeholder Communication
    • Act as a liaison between business users, IT teams, and vendors (including Temenos).
    • Prepare and present system documentation, process flows, and impact analyses.
  • Continuous Improvement
    • Identify opportunities to streamline processes, enhance automation, and improve banking operations using Temenos capabilities.
Qualifications
  • Education: Bachelor's degree in Computer Science, Information Systems, Finance, or related field.
  • Experience:
    • 5+ years of experience as a Business Analyst or Technical Analyst in the banking/financial services sector.
    • 3+ years of hands-on experience with Temenos T24 / Transact or related Temenos products.
  • Strong understanding of core banking processes (e.g., deposits, loans, payments, customer information management).
  • Proficiency in SQL, data mapping, and API/integration design.
  • Experience with Temenos data models, TAFJ, TCIB, or Temenos Integration Framework (IF) is a strong advantage.
  • Familiarity with Agile / Scrum methodologies and tools like Jira or Confluence.
  • Excellent analytical, documentation, and communication skills.
Preferred Skills
  • Knowledge of digital banking, open banking APIs, and fintech ecosystems.
  • Exposure to cloud-based Temenos deployments (e.g., Temenos SaaS).
  • Experience in managing cross-functional or vendor-led projects.
  • Certification in Business Analysis (CBAP, PMI-PBA, or equivalent) is a plus.

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