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

Addison Group

Business Analyst

Oklahoma City, OK · On-site

$40 - $45/hr

Develop SQL solutions to support operational reporting and business analysis * Identify trends, inconsistencies, and opportunities for process improvement * Gather, interpret, and analyze data to ...

Quantam

Business Analyst

Oklahoma City, OK · On-site

The initiative introduces a modern stack-Angular, REST APIs, Azure SQL Managed Instances, Azure ... Process Analysis and Documentation * Engage with business units to understand operational workflows ...

Love's Travel Stops

Data Scientist

Oklahoma City, OK · On-site

$70 - $90/hr

Learn the Love's business. Develop deep fluency in the composition, roles, and contributions of ... Competency using R, Python, or other similar statistical software to develop analytical solutions

Qode

Business Analyst

Oklahoma City, OK · On-site

$50/hr

Business Analyst Term: 5-7 Year Contract Pay: $50/Hr Location: Oklahoma City, OK or nearby given ... The initiative introduces a modern stack--Angular, REST APIs, Azure SQL Managed Instances, Azure ...

Qode

Business Analyst

Oklahoma City, OK

$50/hr

Business Analyst Term: 5-7 Year Contract Pay: $50/Hr Location: Oklahoma City, OK or nearby given ... The initiative introduces a modern stack-Angular, REST APIs, Azure SQL Managed Instances, Azure ...

Qode

Business Analyst

Oklahoma City, OK · On-site

$50/hr

Business Analyst Term: 5-7 Year Contract Pay: $50/Hr Location: Oklahoma City, OK or nearby given ... The initiative introduces a modern stack-Angular, REST APIs, Azure SQL Managed Instances, Azure ...

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Business Analyst Sql R Python information

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.

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 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.

What are popular job titles related to Business Analyst Sql R Python jobs in Oklahoma?

For Business Analyst Sql R Python jobs in Oklahoma, the most frequently searched job titles are:

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The top searched job categories for Business Analyst Sql R Python jobs in Oklahoma are:

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Cities in Oklahoma with the most Business Analyst Sql R Python job openings:

Business Analyst Sql R Python jobs near you

Program Management Business Analyst

Trisura Group

Oklahoma City, OK • On-site

$70 - $110/hr

Other

Posted 5 days ago

Job description

At Trisura, we expect more because we believe it can be done better.

Trisura brings innovative solutions and expertise through a select network of both national and regional brokerage firms.

The company was founded in 2006 and operates across North America. With offices throughout Canada and the United States we are uniquely positioned to satisfy all varieties of risk.

We are currently seeking a qualified individual for the following opportunity

Program Management Business Analyst - Oklahoma City

We are seeking a detail-oriented and analytical Program Management Business Analyst to join our dynamic team. This role plays a critical part in ensuring successful fronting partner implementation and performance through proactive data analysis, stakeholder communication, and process optimization. The ideal candidate will serve as a key liaison between internal teams and external partners, supporting data integrity, validation processes, and cross‑functional coordination.

Key Responsibilities:
  • Program Implementation Support:
    Communicate requirements during implementation phases; provide data schema, submission requirements, and timelines to external partners while ensuring internal stakeholders are informed and aligned.
  • Cross-Functional Issue Resolution:
    Collaborate with departments such as Accounting, Reinsurance, Compliance, and other Operations teams to resolve data integrity issues and maintain consistent, high‑quality data.
  • Partner Portal Support:
    Assist partners in resolving submission issues, fostering effective communication and long‑term collaboration to enhance program partner outcomes.
  • Data Risk Advisory:
    Proactively identify and advise on data integrity risks or analytics‑related issues, assessing downstream impacts and developing mitigation strategies.
  • Development Collaboration:
    Participate in the planning, testing, and rollout of new features or systems.
  • Analytics & Reporting:
    Analyze data trends and generate clear, actionable reports for executives, internal stakeholders, and external partners. Deliver insights that support data‑driven decisions.
  • Documentation Management:
    Maintain detailed and up‑to‑date documentation in Confluence to support partner/process transparency, knowledge sharing, and audit‑readiness.
  • Stakeholder Communication:
    Communicate issues and recommendations clearly and promptly to stakeholders to drive resolution and alignment.
  • Validation Management:
    Lead the lifecycle of data validation processes, including request initiation, timeline definition, criteria development, testing coordination, and deprecation planning.
Qualifications:
  • Bachelor’s degree in Business, Information Systems, Data Analytics, or a related field
  • Minimum of 3 years of experience as a Business Analyst, Program Analyst, or similar role, preferably in a regulated or data‑intensive environment
  • Deep understanding of how data quality impacts downstream processes, with the ability to analyze partner‑submitted data and present clear, actionable insights to both technical and non‑technical stakeholders
  • Experience working with Confluence, Jira, or similar project/documentation management tools
  • Preferred experience with SQL or similar database languages for querying, analyzing, and validating structured data
  • Experience with Power Aps is a plus
  • Excellent written and verbal communication skills
  • Demonstrated ability to work cross‑functionally and manage multiple priorities
  • Strong organizational skills and attention to detail
Preferred Qualifications:
  • Experience in insurance, reinsurance, or financial services
  • Familiarity with data validation and change management practices
  • Proficiency in SQL for querying, analyzing, and validating structured data across relational databases.
  • Programming experience (e.g., Python, R, or similar) is a plus, especially for data analysis, automation, or workflow optimization.
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