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

Business Solutions Analyst II

Tulsa, OK

$61.40K - $77.60K/yr

The Business Solutions Analyst II designs and delivers technology-enabled business solutions that ... SQL queries to extract and manipulate data across relational databases. * Experience with Python ...

Database Developer (SQL / SSIS) Location: Hybrid - Oklahoma City 2 days onsite weekly Direct Hire ... Collaborate with Business Analysts and technical teams to translate requirements into technical ...

Database Developer (SQL / SSIS) Location: Hybrid - Oklahoma City 2 days onsite weekly Direct Hire ... Collaborate with Business Analysts and technical teams to translate requirements into technical ...

Participates in project stand-up meetings with Business Analysts and IT staff to assess business ... Previous experience with SSIS and SSRS is preferred * Demonstrates initiative and works ...

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making ... using SQL and Python. What You'll Do Business Partnership and Solution Design * Partner with ...

Business/Process/Systems Analyst Location: Oklahoma City, Oklahoma (must be able to work in the US ... Proficiency in SQL. Experience with Data visualization tools is a plus. Experience and ...

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Business Analyst Sql R Python information

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.

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.

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 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:
What cities in Oklahoma are hiring for Business Analyst Sql R Python jobs? Cities in Oklahoma with the most Business Analyst Sql R Python job openings:
Senior Data Analyst - Reservoir Engineering

Senior Data Analyst - Reservoir Engineering

Continental Resources, Inc.

Oklahoma City, OK • On-site

$79.90K - $100.80K/yr

Full-time

Posted 7 days ago


Job description

Job Summary
The Senior Data Analyst - Reservoir Engineering is primarily responsible for executing projects to streamline processes and produce data-driven insights to support the Resource Development engineering team and other stakeholders across the organization. A successful candidate will actively seek and generate new and innovative ways to retrieve, visualize, and analyze data across a variety of operational, geologic and financial data sources.
Duties and Responsibilities
  • Collaborates with varying levels of reservoir engineers, petrotechnical professionals, financial professionals, and management to effectively gather data/reporting requirements and build complex datasets, visualizations, analytical tools, and reports.
  • Discovers and troubleshoots data issues across sources and drives issues to resolution.
  • Mentors and trains junior staff; creates training content and executes across the team, department, and company.
  • Utilizes SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views in Databricks.
  • Owns, maintains and enhances business-critical Spotfire and Power BI analyses; creates new projects from scratch using data from a variety of sources across the enterprise.
  • Leverages automation and AI tools to streamline processes, automate manual workflows, and create scalable, enterprise solutions.
  • Performs data capture processes as necessary to support analytics efforts.
  • Other duties as assigned.

Skills and Competencies
  • Strong understanding of E&P operations, with in-depth knowledge of reservoir engineering concepts, geoscience data, and business development projects.
  • Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data-driven insights.
  • Understands the data models of Continental's primary data sources including Aries, WellView, SiteView, ProCount, Planning Analytics, eGIS, WLM, S&P Global, and Enverus.
  • Detail oriented with ability to retrieve, organize, and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner.
  • Advanced skills with data & analytics applications.
  • Advanced knowledge of data modeling and data integration principles and techniques.
  • Advanced programming skills capable of using all available techniques.
  • Flexible and adaptable, quickly adjust to process changes and shifting priorities.

Required Qualifications
  • High School Diploma or GED.
  • Minimum of eight (8) years of experience within the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
  • Advanced experience in Aries or other Economic Evaluation software with thorough understanding of economic engine, data streams, data models.
  • Advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems and create data tables and views within CLR's data warehouse.
  • Advanced skills in Spotfire with the ability to use, deconstruct, and enhance existing analyses and create new projects leveraging multiple data sources and data functions.
  • An acceptable pre-employment background and drug test.

Preferred Qualifications
  • Bachelor's Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting or related degree.
  • Intermediate skills developing automated workflows using UiPath, Grooper or Alteryx
  • Advanced coding skills in R or Python

Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.