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Sql Python Excel Power Bi Tableau Jobs in Baltimore, MD

Morgan Stanley

Model Risk Control Specialist

Baltimore, MD · On-site

$70K - $125K/yr

... SQL, Python, Excel); familiarity with visualization tools (e.g., Power BI, Tableau) is a plus Typically, 5+ years' relevant experience would generally be expected to find the skills required for this ...

Morgan Stanley

Model Risk Control Specialist

Baltimore, MD · On-site

$70K - $125K/yr

... SQL, Python, Excel); familiarity with visualization tools (e.g., Power BI, Tableau) is a plus Typically, 5+ years' relevant experience would generally be expected to find the skills required for this ...

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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 Aug 6, 2026, the average hourly pay for sql python excel power bi tableau in Baltimore, MD is $55.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $65.91 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 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.
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Sql Python Excel Power Bi Tableau jobs near you

CPE SETA_Data Scientist I with Security Clearance

People, Technology and Processes LLC

Aberdeen Proving Ground, MD • On-site

Other

Re-posted 19 days ago

Job description

Title: Data Scientist I Clearance Type: Secret Scope: Provide Power BI development expertise and services Responsibilities (including but not limited to) : * Background with BI tools and systems such as Power BI, Tableau, and SAP. * Design, develop, and deploy interactive dashboards and reports using Microsoft Power BI, optimizing for performance and scalability to provide actionable insights for stakeholders. * Connect Power BI to diverse data sources (SQL databases, SharePoint, Excel, MS365 tools) and develop/maintain ETL processes to ensure data accuracy, consistency, and integrity. * Work closely with business units to gather requirements, translate them into technical solutions, and provide training/support to end-users on Power BI tools and best practices. * Leverage MS365 tools (SharePoint, Teams, OneDrive, Power Automate) to enhance Power BI functionality, streamline data processes, and create a unified data ecosystem. * Perform data analysis to identify trends, patterns, and opportunities for improvement, developing predictive/prescriptive analytics models to support strategic decision-making and providing regular updates to leadership. * Create and maintain comprehensive documentation for Power BI solutions, establish and enforce best practices (naming conventions, version control, data governance), and stay current with the latest Power BI and MS365 advancements. * Using Power BI, create dashboards and interactive visual reports. * Define key performance indicators (KPIs) with specific objectives and track them regularly. * Analyze data and display it in reports to aid decision-making. * Convert business needs into technical specifications and establish a timetable for job completion. * Create, test, and deploy Power BI scripts, as well as execute efficient deep analysis. * Use Power BI to run queries and functions. * Create charts and data documentation with explanations of algorithms, parameters, models, and relationships. * Construct a data warehouse. * Make technological adjustments to current BI systems to improve their performance. * For a better understanding of the data, use filters and visualizations. * Prior experience in data-related tasks. * Understanding of the Microsoft BI Stack. * Analytical thinking for converting data into relevant reports and graphics. * Capable of enabling row-level data security. * Knowledge of Power BI application security layer models. * Proficient in doing advanced-level computations on the data set. * Excellent communication skills. Qualifications Required Qualifications : * Bachelor's Degree with an emphasis on Data Analytics or Statistics. * Minimum of five (5) years of related work experience.

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