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Sql Python Excel Power Bi Tableau Jobs (NOW HIRING)

Prophecy Technologies

Senior BI Developer

Urbana, MD · On-site

... Power BI, Tableau, and SQL * Strong expertise in Power BI architecture, DAX, Power Query (M ... Python experience is a plus * Strong communication and problem-solving abilities Competencies

Snowrelic Inc

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA · Remote

$104K - $138K/yr

Modern Data Stack Expertise - Snowflake, SQL, Python, ETL tools (dbt, Airflow). * * BI & Analytics Development - Experience with Power BI, Tableau, or similar tools. * * Enterprise Data Strategy ...

Precision Technologies Corp

BI Architect

Iselin, NJ · On-site

Strong Power BI, Dax, Strong in SQL and data warehousing. At least 15 years' experience and ... Design and implement end-to-end BI solutions using Tableau and Power BI. * Develop semantic models ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint. A critical component of this position involves pioneering the integration of advanced AI solutions into our reporting processes to ...

Vytwo

BI Architect

Prosper, TX · On-site +1

$60 - $70/hr

Strong Power BI, Paginated Reports, Dax, Strong in SQL and data warehousing. At least 15 years ... Design and implement end-to-end BI solutions using Tableau and Power BI. * Develop semantic models ...

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All JobsSql Python Excel Power Bi Tableau Jobs

Sql Python Excel Power Bi Tableau information

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How much do sql python excel power bi tableau jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for sql python excel power bi tableau in the United States is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.35 per hour, depending on experience, location, and employer.

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
Infographic showing various Sql Python Excel Power Bi Tableau job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 26% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.
Data Analyst: SQL, Power BI, Excel, Python, Snowflake

Data Analyst: SQL, Power BI, Excel, Python, Snowflake

KORE1 Technologies

Chicago, IL • On-site

$40 - $45/hr

Contractor

Posted 13 days ago

Job description

Please note: We are not considering third-party, agency, or C2C candidates for this opportunity. Please refrain from contacting us regarding third-party submissions.
Location: This job can be done remotely central or eastern time zone (from the US).
Duration: Projected to be up to 3-6 months with possible extensions / conversion to FTE.
KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Analyst: SQL, Power BI, Excel, Python, Snowflake
Position Summary
We are seeking a highly analytical and business-focused Senior Data Analyst to join a strategic growth and analytics team. This role will be responsible for transforming complex data into actionable insights that drive business performance, support strategic decision-making, and accelerate organizational growth.
The ideal candidate will combine advanced analytical capabilities, business acumen, data visualization expertise, and strong communication skills to influence leaders across Sales, Marketing, Finance, Operations, and Strategy.
Key Responsibilities
Reporting & Data Visualization
  • Develop, maintain, and optimize dashboards, scorecards, and KPI reporting solutions for business stakeholders.
  • Automate recurring reporting processes to improve efficiency and visibility into business performance.
  • Create interactive visualizations using Power BI, Tableau, or similar BI platforms.
  • Partner with business and technical teams to establish consistent reporting metrics, definitions, and data governance standards.

Business Analysis & Strategic Insights
  • Conduct deep-dive analyses to identify business drivers, growth opportunities, customer trends, and operational improvements.
  • Analyze and integrate data from multiple internal and external sources, including CRM, ERP, sales, marketing, and financial systems.
  • Deliver actionable recommendations that support business growth, resource allocation, and strategic initiatives.
  • Support annual planning, forecasting, and performance evaluation through data-driven insights.
  • Analyze sales performance, marketing effectiveness, customer behavior, and market trends.

Cross-Functional Decision Support
  • Collaborate with Sales, Marketing, Finance, Supply Chain, Operations, and IT teams to address critical business questions.
  • Translate complex analytical findings into clear business narratives and executive-level presentations.
  • Partner with data and technology teams to improve access to high-quality, structured, and reliable data.
  • Support enterprise-wide initiatives through analytical consulting and decision support.

Predictive Analytics & Data Science
  • Develop predictive models to forecast sales, customer retention, campaign performance, demand, and regional business outcomes.
  • Apply statistical techniques such as regression analysis, forecasting, clustering, segmentation, and machine learning.
  • Identify opportunities to leverage AI and advanced analytics for business growth and operational efficiency.
  • Establish best practices for model validation, governance, monitoring, and continuous improvement.

Job Requirements
Required Qualifications
  • Bachelor's degree in Data Science, Business Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
  • Master's degree preferred.
  • 3-5+ years of experience in data analytics, business analytics, data science, or related analytical roles.
  • Strong proficiency in SQL, Python (Pandas, Scikit-learn, Statsmodels), and Microsoft Excel.
  • Experience building dashboards and reporting solutions using Power BI (including PowerQuery skills)
  • Strong understanding of statistical analysis, regression modeling, forecasting, and data visualization.
  • Experience with Snowflake cloud-based data platforms
  • Ability to translate business problems into analytical frameworks and actionable recommendations.
  • Excellent communication, presentation, and stakeholder management skills.
  • Experience supporting Sales, Marketing, Strategy, Finance, or Operations teams with data-driven decision-making.
  • Proven track record of delivering business impact through analytics, reporting automation, forecasting, and strategic recommendations.

Preferred Qualifications
  • Experience with machine learning models and predictive analytics frameworks.
  • Experience integrating and analyzing data from CRM platforms (Salesforce) and ERP systems (SAP or similar).
  • Knowledge of marketing analytics, attribution modeling, A/B testing, and campaign performance measurement.
  • Familiarity with geospatial, demographic, or customer segmentation analytics.
  • Understanding of B2B sales analytics, customer lifecycle metrics, retention analysis, and revenue growth modeling.

Technical Skills
  • SQL
  • Python (Pandas, Scikit-learn, Statsmodels)
  • Power BI / Tableau
  • Excel (Advanced)
  • Data Modeling
  • Statistical Analysis
  • Predictive Analytics
  • Machine Learning
  • Forecasting
  • Data Visualization
  • Salesforce
  • SAP
  • Snowflake / BigQuery / AWS

Compensation depends on experience but is typically $40-45/hr W2
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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