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

Bridge Investment Group

Business Analyst

Sandy, UT

Make an Impact As a Business Analyst in our PMO, you'll help ensure AI initiatives deliver real ... S&R) principles at our properties and corporate locations. We evaluate all candidates based on ...

Snap Finance

Data Analyst I

West Valley City, UT · On-site

... business intelligence, reporting, or related analytical work. * Experience in SQL, Python, and/or R for querying and analyzing data. AI tool utilization is also a plus. * Understanding of data ...

SoFi

Senior Business Operations Analyst

Salt Lake City, UT · On-site

$89K - $115K/yr

... using SQL/Python and other statistical analysis packages to read test results and deliver on ... business problems; a demonstrated ability to synthesize and communicate analysis to peers and ...

SoFi

Senior Business Operations Analyst

Salt Lake City, UT · On-site

$89K - $115K/yr

The Senior Business Operations Analyst will be an integral member of the CCoE team, and will ... Expertise in analyzing large datasets using SQL/Python and other statistical analysis packages to ...

SoFi

Senior Business Operations Analyst

Salt Lake City, UT · On-site

$89K - $115K/yr

The Senior Business Operations Analyst will be an integral member of the CCoE team, and will ... Expertise in analyzing large datasets using SQL/Python and other statistical analysis packages to ...

Trove Brands

Sales Forecasting Analyst

Lehi, UT

... drive business performance for our international accounts. The ideal candidate is proactive ... Experience with Python and/or SQL preferred. * Demonstrated self-motivation, commitment, positivity ...

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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
Mortgage Servicing Business Analyst

Mortgage Servicing Business Analyst

Mountain West Financial, LLC

Sandy, UT • On-site

$70K - $90K/yr

Full-time

Posted 13 days ago

Job description

Position Description: Summary
The Mortgage Servicing Business Analyst serves as a liaison between business stakeholders, servicing operations, and technology teams to analyze, document, and improve mortgage servicing processes and systems. This role is responsible for gathering business requirements, identifying operational efficiencies, supporting system implementations, ensuring regulatory compliance, and driving strategic initiatives that enhance the customer and employee experience throughout the mortgage servicing lifecycle.

Essential Duties and Responsibilities
Business Analysis & Requirements Management
•Gather, document, and validate business requirements from servicing stakeholders.
•Analyze existing business processes and identify opportunities for automation, optimization, and cost reduction.
•Develop business requirements documents (BRDs), functional requirements, process maps, user stories, and workflow documentation.
•Facilitate meetings with business users, vendors, and technology teams to define project scope and objectives.
•Translate business needs into functional specifications for system development and enhancements.
Mortgage Servicing Operations Support
•Support all aspects of mortgage servicing, including:
•Evaluate servicing workflows to improve efficiency, accuracy, and compliance.
•Assist in resolving operational issues and identifying root causes.

Project Management & Implementation
•Participate in servicing system implementations, upgrades, conversions, and integrations.
•Coordinate user acceptance testing (UAT), test script creation, and defect resolution.
•Monitor project milestones and communicate progress to stakeholders.
•Support change management initiatives and end-user training activities.

Data Analysis & Reporting
•Analyze servicing data to identify trends, risks, and opportunities.
•Create and maintain reports, dashboards, and key performance indicators (KPIs).
•Validate data integrity across servicing platforms and integrated systems.
•Support regulatory, investor, and internal reporting requirements.

Compliance & Risk Management
•Ensure servicing processes comply with applicable regulations, including CFPB, RESPA, TILA, FCRA, FDCPA, and investor guidelines.
•Assist with audit requests, compliance reviews, and remediation efforts.
•Evaluate process changes for operational and regulatory impacts.

Qualification
•Bachelor's degree in Business Administration, Finance, Information Systems, or related field, or equivalent experience.
•3+ years of mortgage servicing experience.
•2+ years of business analysis experience supporting mortgage servicing operations.
•Strong understanding of mortgage servicing processes and industry regulations.
•Experience gathering business requirements and documenting workflows.
•Proficiency with Microsoft Excel, Word, PowerPoint, and Visio or similar process-mapping tools.
•Strong analytical, problem-solving, and communication skills.
Preferred
•Experience with mortgage servicing platforms such as MSP, Sagent, LoanServ, Mortgage Director, or similar systems.
•Knowledge of SQL, reporting tools, or business intelligence platforms.
•Experience with Agile or Waterfall project methodologies.
•Business Analyst certification (CBAP, CCBA, PMI-PBA) preferred.
•Experience supporting loan sales, invoice reconciliation, servicing transfers, conversions, or digital transformation initiatives.

Competencies
•Analytical thinking
•Process improvement
•Project coordination
•Requirements elicitation
•Stakeholder management
•Risk assessment
•Regulatory awareness
•Data analysis
•Problem-solving
•Written and verbal communication

Success Metrics
•Successful delivery of business and technology initiatives.
•Improved servicing efficiency and operational performance.
•Reduced process defects and operational risk.
•Accurate and complete requirements of documentation.
•Positive stakeholder and customer outcomes.
•Compliance with regulatory and investor requirements.

This role is full time in office in Sandy, Utah.

PI285497039