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Business Analyst Sql R Python Jobs in Euless, TX

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Strong data analytic skills including the ability to develop SQL queries as needed to support data ...

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Strong data analytic skills including the ability to develop SQL queries as needed to support data ...

Analyze, document, and validate business, functional, and technical requirements. * Collaborate ... Utilize tools such as Postman , SQL, and API testing tools to validate requirements and support ...

RoundPoint Mortgage Servicing LLC is seeking a Business Analyst to join a diverse team in our ... experience with SQL Server, T-SQL, SSMS * Experience with JIRA * Experience with Agile ...

Gen AI Lead

Dallas, TX ยท On-site

$138K - $170K/yr

AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B ... SQL, Pyspark, Scala, R, Python, SAS * Gen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic ...

... analytics to solve complex business challenges and support strategic decision-making. You'll ... Writes code of moderate to high complexity using SQL, Python, R or similar to query, calculate ...

Business Process Analysis : Analyze current business processes (as-is) and design improved ... Proficiency in SQL and PL/SQL is a plus. Tools Proficiency: Familiarity with JIRA and Confluence ...

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Business Analyst Sql R Python information

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How much do business analyst sql r python jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for business analyst sql r python in Euless, TX is $43.89, according to ZipRecruiter salary data. Most workers in this role earn between $32.93 and $54.95 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

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?

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.

How do business analysts with 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.
What job categories do people searching Business Analyst Sql R Python jobs in Euless, TX look for? The top searched job categories for Business Analyst Sql R Python jobs in Euless, TX are:
What cities near Euless, TX are hiring for Business Analyst Sql R Python jobs? Cities near Euless, TX with the most Business Analyst Sql R Python job openings:
Infographic showing various Business Analyst Sql R Python job openings in Euless, TX as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $91,293 per year, or $43.9 per hour.

Business Analyst (Data Analytics & Reporting) - 127070

TriOptus LLC

Plano, TX โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

Top skills:
  • Experience with Data mining, data science
  • More data focus than a typical business analyst. They'll actually be touching the tools and writing the queries.

Description:
  • The Data Analytics and Reporting Team (DART), which is aligned under the Chief Operations Officer in Consumer and Community Banking (CCB), provides analytics and reporting solutions to business partners across Centralized Transaction Operations (CTO). The DART team leverages a broad technology suite to implement automated solutions and deliver data driven insights.

Qualifications:
  • Minimum 3-5 years demonstrated experience leveraging analytics and data mining to deliver tangible business improvements
  • Bachelor's degree in Business or related field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science)
  • Demonstrated experience with statistical and/or forecasting methodologies for purposes of conducting analysis to drive business decisions
  • Technical knowledge and/or experience using various data visualization (e.g. Tableau) and data wrangling tools (e.g. Python, R, SQL, SAS, Alteryx)
  • Extensive knowledge of database design, Hadoop data architecture and tools, and relational database principles
  • Excellent verbal and written communication skills - ability to summarize findings into concise, high level points geared towards the audience and visually depict key data and findings
  • Demonstrated ability to positively interface with other departments, colleagues, senior management and external customers is required
  • Strong attention to detail and accuracy - proven ability to produce quality results timely
  • Proven ability to prioritize and work on multiple projects simultaneously with minimal supervision
  • Experience within the banking industry preferred.

Key Responsibilities:
This role will be responsible for supporting day-to-day operations while identifying opportunities to streamline, automate, and enhance the information provided to our business partners to improve operational efficiencies.
  • Working with business leaders to identify analytics opportunities
  • Determining data needs/sources, extraction methods, and reporting frameworks
  • Building advanced analytical capabilities with a focus on improving business decisions and actions within CTO
  • Providing proactive, real-time analytics to anticipate and enhance the customer's experience and decision-making capabilities
  • Focusing on closure of control gaps, reduction of manual controls, automation of manual processes, reduction of handoffs, and increasing operational efficiency with dashboards
  • Leveraging data mining, data manipulation, and analytics skills to solve business problems, create opportunities and identify potential analytical strategies
  • Translating high-level operational business needs into actionable intermediate or complex design analysis
  • Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements
  • Optimizing business results and client satisfaction through advanced research, analytic tools and techniques.
  • Pursuing opportunities where analytics can drive significant operating outcomes - where different decisions should be made and/or where meaningful efficiencies can be implemented
  • Understanding the cost-benefit relationship between solution sophistication and practicality, and striving to produce the fastest and most accurate results.
  • Articulating how the impact of research connects to business priorities
  • Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results
This position requires excellent interpersonal skills with the ability to build and maintain key relationships and work well with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding.