1

Data Analyst Python Sql Jobs in Edmond, OK (NOW HIRING)

Data Analyst

Oklahoma City, OK · On-site

$30 - $35/hr

Data Analyst Oklahoma City, OK Hybrid role (weekly onsite presence required) $37 - $40 per hour ... Write, modify, and optimize SQL queries and stored procedures to support reporting needs * Develop ...

Write and modify SQL queries to support reporting, data extraction, validation, and troubleshooting ... Analytical Skills - Ability to apply structured thinking and logical reasoning to technical and ...

Digital Analyst Internships

Oklahoma City, OK · On-site

$91K - $108K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Edmond, OK · On-site

$74K - $87K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

Required Skills: 8+ years of IT experience with 5+ years as a Data Engineer Strong experience with Python, SQL, and data modeling Hands-on experience with ETL/ELT tools and data pipeline development ...

next page

Showing results 1-20

Data Analyst Python Sql information

See Edmond, OK salary details

$30.7K

$74.7K

$122.9K

How much do data analyst python sql jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data analyst python sql in Edmond, OK is $74,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,600.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Edmond, OK look for? The top searched job categories for Data Analyst Python Sql jobs in Edmond, OK are:
What cities near Edmond, OK are hiring for Data Analyst Python Sql jobs? Cities near Edmond, OK with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Edmond, OK as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 7% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $74,666 per year, or $35.9 per hour.

Data / Operations Research Analyst

P17 Solutions LLC

Oklahoma City, OK • On-site

$72K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

About the Company
P17 Solutions is a distinguished Small Business Administration 8(a) certified company, delivering professional services and innovative technology solutions to Federal, State, and Local Government agencies, as well as private sector clients. Known for our commitment to excellence and proven track record, we serve as a trusted partner in navigating complex government and industry challenges. Join us in driving transformative solutions that advance technology, transportation, and public services. Learn more at
About the Position
P17 Solutions is seeking a Data Analyst / Operations Research Analyst to join our team supporting the Federal Aviation Administration (FAA) Technical Operations Resiliency, Innovation, Sustainment, and Engineering (RISE) Program. This is a full-time position preferred on-site in Oklahoma City, OK, with remote and alternative location arrangements considered.
The Data Analyst / Operations Research Analyst will bring mid- to senior-level expertise in data extraction, statistical analysis, and executive-level data visualization to support data-driven decision-making across the RISE program. This role focuses on transforming complex backend operational data into clear, actionable business intelligence through the design and maintenance of intuitive dashboards, quick-turn analytics, and narrative reporting delivered to FAA leadership and program stakeholders.
The ideal candidate brings demonstrated experience working with Technical Operations (Tech Ops) Data, National Airspace System (NAS) and FAA organizational structure, and equipment logging data with a combined proficiency in SQL, Python or R, and visualization platforms such as Tableau or Databricks is strongly preferred.
Job Requirements
Data Extraction & Preparation (SQL)
  • Complex Joins & Aggregations: Ability to extract and reshape data from databases using inner, left, right, and full outer joins, including proper handling of NULL values.
  • Advanced Analytical Functions: Proficient in utilizing Common Table Expressions (CTEs) and Window Functions to calculate advanced metrics (e.g., running totals, moving averages).
  • Data Transformation: Experience preparing and cleaning tables through date alignment and string manipulations prior to visualization or modeling.

Statistical Analysis & Quick-Turn Analytics (Python, R, etc.)
  • Exploratory Data Analysis (EDA): Ability to write programmatic scripts to conduct quick EDA, hypothesis testing, and probability modeling to uncover hidden insights.
  • Data Manipulation: Skilled in rapidly cleaning, filtering, and grouping massive datasets to bridge the gap between initial exploration and predictive science.
  • Programmatic Plotting: Experience building custom chart layers, scales, and color hierarchies within Python visualization libraries (e.g., Matplotlib, Seaborn).

Easily Consumable Data Visualizations (Tableau, Databricks, etc.)
  • Interactive Design: Competency in structuring actions, parameters, and drill-down filters to build automated, easily digestible executive dashboards.
  • Context Control & Data Modeling: Ability to connect custom SQL scripts directly to Tableau, blend data sources, and utilize Level of Detail (LOD) expressions to maintain stable comparative calculations during user interaction.

Data Storytelling & Communication
  • Chart Matching: Mastery of visual grammar to select the mathematically correct chart for specific data properties (e.g., scatter plots for correlation, time series for historical trends).
  • Narrative Building: Ability to distill dense statistical summaries into cohesive narratives focused directly on KPIs and actionable business insights.
  • Professional Communication: Strong oral and written communication skills to effectively convey technical findings to non-technical leadership and varied audiences.

Knowledge, Skills, and Abilities (KSAs)
  • Technical Operations Data (3+ Years): Direct experience working with data pertaining to FAA systems, including but not limited to: RMLS, FSEP, NASPAS, IFS, PURE, and Delphi.
  • National Airspace System (NAS) Knowledge (3+ Years): A foundational understanding of the NAS, including:
    • General NAS equipment and service purposes.
    • FAA organizational structure.
    • Equipment logging fields and their operational meanings.

Education and Years of Experience
  • Degree: A Bachelor's degree (or higher) in Mathematics, Statistics, Computer Science, Data Science, or a field directly related to the position. The major field of study must be directly appropriate for the role.
    • 5+ years of relevant experience
  • Combination of Education & Experience: Courses equivalent to a major field of study (at least 30 semester hours) in the disciplines listed above, plus professional experience.
    • 10+ years of relevant experience

Citizenship and Security Clearance: Candidates must be either a US citizen or a current green card holder with the last 3 consecutive years as a resident of the US. Proof of eligibility and verification is a must. P17 Solutions does not provide sponsorship at this time.
Upon receiving a conditional offer of employment, candidates will undergo a Government investigation and must meet eligibility requirements to obtain and maintain Government clearance.
Relocation and Salary Disclaimer: Relocation expenses are not considered for this position. Candidate must reside or be willing to relocate within a commutable distance to onsite location.
Total Rewards: At P17 Solutions, we are dedicated to investing in the success and well-being of our employees. We offer a competitive compensation and benefits package designed to support you both personally and professionally. The salary range for this position is between $72,000 to $145,000. This range is provided as a general guideline and should not be interpreted as a guarantee of compensation. Actual salary offers will be determined based on a variety of factors, including but not limited to the specific responsibilities of the position, the candidate's education and experience.
Full-time employees are eligible for comprehensive medical, dental, and vision coverage, paid supplemental insurance, paid life & AD&D insurance, paid disability, 401(k)-retirement plan w/company match, educational assistance, generous leave policies, 11 paid federal holidays and 2 supplemental holidays, and any additional paid leave required by law.
Work Environment
This is a full-time on-site position. The role primarily involves computer-based work, requiring extended periods of sitting and focused attention on system and technical documentation. Occasional collaboration with team members or stakeholders may require standing or moving between workstations as needed.
* Travel is estimated at 25% per year.
* Lifting <25lbs
Interview Requirements
AI DISCLOSURE / CONSENT: The Company values authenticity and fairness in the hiring process. To maintain the integrity of interviews and assessments, applicants are not permitted to:
1.Use any AI tool to generate or suggest responses in real time during interviews (e.g., ChatGPT, Copilot, Gemini, or similar "answer-assistant" tools).
2.Use AI-based live coaching, hidden communication tools, or remote-assistance technologies to obtain real-time help from other individuals or systems.
3.Use AI tools that alter or mask their identity, including deepfake video, AI avatars, or AI voice changers.
4.Use AI code generators or AI writing tools to complete coding challenges, case studies, or written assessments, unless the assessment instructions explicitly permit such tools.
5.Record or transcribe interviews using AI tools (e.g., Otter.ai, Noty.ai, Fireflies, or similar) without prior explicit consent from the interviewer or recruiter.
  1. Applicants may not use AI tools that inflate, or fabricate application materials, online profiles, or credentials such as professional experience, in ways that misrepresent their true qualifications.

Applicants may use AI tools before interviews for preparation (e.g., researching the Company, practicing questions, or reviewing resumes), provided the content submitted is truthful and accurately reflects the applicant's own experience and capabilities.
The company does not authorize or consent to applicants using AI tools during live interviews or assessments, unless explicitly stated. Applicants agree to follow the Company's AI-use rules and affirm that all responses and materials submitted reflect their own authentic experience.
The applicant has the right to withdraw consent at any time. Should consent be withdrawn, the Company will either continue the evaluation or will discontinue the application process if no reasonable alternative exists.
By participating in a P17 Solutions interview, you consent to the AI Disclosure. Failure to comply with the Company's AI-use requirements may result in disqualification from employment consideration.
P17 Solutions LLC is proud to be an Equal Opportunity and Affirmative Action (AA) employer. We are committed to considering all qualified applicants without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law. P17 Solutions is a VEVRAA federal contractor, and we request priority referral of veterans. We invite applications from all interested parties.
Further, if you are a candidate seeking employment opportunities with P17 Solutions and have accommodation needs for a disability or religious observance, please send us an email .