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Sql Python Excel Power Bi Tableau Jobs in Oklahoma

ASRC Federal Holding

Data Scientist

Oklahoma City, OK · On-site

Proficiency in Python, R, SQL, or similar data analysis languages. * Experience using software ... Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau ...

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Sql Python Excel Power Bi Tableau information

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are SQL, Python, Excel, Power BI, and Tableau jobs?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.
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Sql Python Excel Power Bi Tableau jobs near you
Business Intelligence - Health Data Analyst 133-2012

Business Intelligence - Health Data Analyst 133-2012

CommunityCare

Tulsa, OK • On-site

Full-time

Posted 6 days ago

Job description

JOB SUMMARY:
The Analyst provides analytical support for all departments, including analysis, pricing, capitation, network and provider specific reporting. Analytical support includes creating and executing beginner and intermediate level reports and programs and programming modifications to previously written reports. The Analyst will collaborate with key stakeholders and determine the needed result including any special specifications. The Analyst will work with several databases to pull and integrate data, statistical analysis and data modeling.
KEY RESPONSIBILITIES:
  • Execute, write, test, validate, analyze and distribute reports. Determine appropriate approach and tools needed to complete project in an efficient and timely manner. Collaborate with key stakeholders and senior analysts.
  • Determine, write and present report results with key findings and trends to appropriate stakeholders.
  • Complete multiple concurrent ad-hoc analyses, provide corresponding reports based on customer specifications, determine and communicate analytical conclusions and recommendations.
  • Develop beginner to intermediate level reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule.
  • Perform tasks related to maintenance of Departmental Data Warehouse and its documentation.
  • Perform other job-related duties as assigned.

QUALIFICATIONS:
  • Ability to apply advanced mathematical and statistical techniques and principles into the analysis of health-related data.
  • Possess strong oral and written communication skills with the ability to communicate results in a clear and concise manner.
  • Ability to converse and write fluently in English.
  • Successful completion of Health Care Sanctions background check.
  • Proficient in Microsoft Office applications.

EDUCATION/EXPERIENCE:
  • Bachelor's degree Required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred.
  • Demonstrated use of analytical software. SAS or SQL preferred.
  • Experience in Power BI, Tableau or similar software preferred.1-2 years of related experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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