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Sql Python Excel Power Bi Tableau Jobs in Arkansas

Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support ... Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.

Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support ... Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.

Power BI Intern

Conway, AR · On-site

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Build reusable analytics frameworks and dashboards using SQL, Python, Dataiku, Tableau, Power BI , and cloud platforms * Drive anomaly detection and trend monitoring across AP, claims, shortages, and ...

Build reusable analytics frameworks and dashboards using SQL, Python, Dataiku, Tableau, Power BI , and cloud platforms * Drive anomaly detection and trend monitoring across AP, claims, shortages, and ...

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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 is a sql python excel power bi tableau job?

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.

Is Power BI still in demand in 2026?

Power BI remains a highly in-demand skill for data analysts and business intelligence professionals in 2026, as organizations continue to prioritize data visualization and reporting tools. Proficiency in Power BI, along with skills in SQL, Python, and Excel, enhances job prospects in data-driven roles, with demand expected to grow as companies adopt advanced analytics and automation solutions.

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.
What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Arkansas? For Sql Python Excel Power Bi Tableau jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Arkansas look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Arkansas are:
What cities in Arkansas are hiring for Sql Python Excel Power Bi Tableau jobs? Cities in Arkansas with the most Sql Python Excel Power Bi Tableau job openings:
Infographic showing various Sql Python Excel Power Bi Tableau job openings in Arkansas as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Lead Logistics Engineer

Uber Freight

Rogers, AR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Uber Freight rating

7.3

Company rating: 7.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

168th of 360 rated logistics


Job description

Schedule: Full Time
Job Type: Hybrid
Salary Type: Salary
Req #: 3123
No immigration sponsorship or transfer available for this role.
About the Role
Uber Freight is seeking a Lead Logistics Engineer to help design, analyze, and optimize complex freight networks at scale. This role sits at the intersection of data, technology, and logistics operations, supporting strategic and tactical decisions through rigorous analysis, modeling, and collaboration. The ideal candidate brings a strong understanding of freight economics and network behavior, pairs it with advanced analytical skills, and translates insights into scalable, repeatable solutions that drive measurable business impact. This role partners closely with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight's network.
What you will do:
Logistics Engineering & Network Optimization
  • Analyze and optimize freight routing, capacity utilization, and cost structures across complex transportation networks.
  • Apply optimization techniques to balance cost, capacity, service level, and operational constraints.
  • Identify network inefficiencies and design solutions that improve margin, service reliability, and scalability.
  • Support initiatives related to continuous moves, dedicated fleets, loop based networks, and specialized routing strategies.

Data Analysis & Technical Development
  • Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions.
  • Build and maintain repeatable analytical frameworks for ongoing network evaluation and performance monitoring.
  • Work with large scale datasets, databases, and ETL pipelines in fast moving operational environments.
  • Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.

Decision Support & Stakeholder Collaboration
  • Partner with leadership to deliver scenario analysis and data backed recommendations aligned with industry best practices.
  • Prioritize work based on business impact, risk, and operational urgency, balancing short term needs with long term strategy.
  • Collaborate cross functionally with Product, Operations, Engineering, and Analytics teams to ensure solutions are well integrated and operationally viable.
  • Communicate complex concepts clearly through strong visual design, storytelling, and written documentation.

Documentation & Continuous Improvement
  • Produce detailed documentation and knowledge transfer materials to ensure solutions are sustainable, scalable, and repeatable.
  • Maintain a continuous improvement mindset, proactively identifying opportunities to enhance tools, processes, and methodologies.
  • Incorporate user feedback to refine analytical products and improve adoption and usability.

General Skills & Competencies
  • Strong understanding of freight economics, cost drivers, and logistics network sensitivities.
  • Highly analytical with the ability to think creatively and systematically about complex routing problems.
  • Excellent organizational and prioritization skills in ambiguous, fast paced environments.
  • Strong written and verbal communication skills, with an emphasis on clarity, influence, and collaboration.
  • Ability to apply visual design principles to make analytical outputs intuitive and actionable.

Basic Qualifications
  • 7+ years of experience in logistics, transportation, freight brokerage, or supply chain industry experience & network design
  • Advanced proficiency in SQL and Excel (complex formulas, scenario modeling).
  • Familiarity with databases, ETL workflows, and large scale operational datasets.
  • Experience building dashboards and operational metrics in Tableau, Power BI, or similar tools.

Preferred Qualifications
  • Experience with VBA or legacy analytical tools.
  • Familiarity with optimization methodologies related to routing, capacity planning, and service level tradeoffs.
  • Hands-on experience with Python for data analysis and modeling is a plus.
  • Experience working within the Google Cloud Platform (GCP) ecosystem.

Benefits & Compensation for U.S. Employees
Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real-time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

What Uber Freight employees say

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