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Sql Python Excel Power Bi Tableau Jobs in Arizona

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting * Data Visualization Power BI Tableau ...

XceedSearch.com

Tableau Architect

Scottsdale, AZ · On-site

Combine technical depth, analytics, and storytelling What You'll Do Tableau Platform & BI ... Write and optimize advanced SQL queries across multiple systems * Design aggregates and semantic ...

XceedSearch.com

Tableau Architect

Scottsdale, AZ · On-site

Combine technical depth, analytics, and storytelling What You'll Do Tableau Platform & BI ... Write and optimize advanced SQL queries across multiple systems * Design aggregates and semantic ...

Verra Mobility

Senior Financial Analyst

Mesa, AZ

$84K - $105K/yr

Leverage ERP and BI tools (e.g., Oracle/PBCS, Power BI/Tableau) to automate reporting and enhance ... Advanced Excel skills (nested formulas, Power Query, Power Pivot), detailed financial modeling (3 ...

eFulgent

SQL Server Database Administrator

Phoenix, AZ · On-site

$49.75 - $62/hr

Power BI dataset & gateway configuration * Azure database VM management * SQL Server Always On configuration Responsibilities * Manage database backup, recovery, and disaster recovery * Design and ...

Prophecy Technologies

Data Product Owner

Phoenix, AZ · On-site

Proficiency in SQL and data analysis. Experience with BI and visualization tools such as Power BI| Tableau| Looker| or similar. Strong stakeholder management and communication skills. Ability to ...

JDA

Sales Operation Business Partner

Scottsdale, AZ · Remote

$105K - $132K/yr

Strong analytics skills - proficient with Excel and at least one BI tool (Power BI, Tableau) and comfortable with SQL for data queries * Demonstrated ability to translate data into actionable ...

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Sql Python Excel Power Bi Tableau information

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.

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 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.

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 popular job titles related to Sql Python Excel Power Bi Tableau jobs in Arizona?

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What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Arizona look for?

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What cities in Arizona are hiring for Sql Python Excel Power Bi Tableau jobs?

Cities in Arizona with the most Sql Python Excel Power Bi Tableau job openings:

Sql Python Excel Power Bi Tableau jobs near you

AI ML Engineer

Staffingine LLC

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Re-posted yesterday

Job description

Job Title: AI ML Engineer
Job Location: Charlotte, NC / Phoenix, AZ
Job Type: Contract

Job Description:

  • Programming Languages Python Pandas NumPy Scikitlearn SQL
  • Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting
  • Data Visualization Power BI Tableau Matplotlib Seaborn
  • Big Data Technologies Spark Hadoop basic understanding
  • Cloud Platforms Azure or AWS especially for data pipelines and model deployment
  • Data Engineering ETL processes data wrangling and feature engineering
  • Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics

Technical Skills:

  • R or SAS for statistical analysis
  • Experience with Natural Language Processing NLP
  • Familiarity with geospatial data and mapping tools
  • Knowledge of Monte Carlo simulations and stochastic modeling
  • Experience with Git and CICD pipelines
  • Exposure to regulatory frameworks Solvency II IFRS 17

Soft Skills:

  • Strong problem solving and critical thinking abilities
  • Excellent communication and storytelling skills for nontechnical stakeholders
  • Collaborative mindset with cross functional teams actuarial underwriting IT
  • Ability to manage multiple projects and prioritize effectively
  • Curiosity and continuous learning attitude
  • High attention to detail and data integrity

Qualifying Questions:

  • Can you describe a project where you applied machine learning to solve a business problem in the insurance or financial domain
  • How do you ensure the quality and reliability of your data before building models
  • Have you worked with actuarial teams or underwriting departments before If yes how did you contribute to their decision making process

Mandatory Skills : AI/GenAI Research