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Sql Python Excel Power Bi Tableau Jobs in Delaware

Sallie_mae

Manager, Data Analytics

Newark, DE · On-site

Familiarity with data visualization tools such as Tableau, Power BI, or similar. * Experience with SQL, Python, R, or other programming languages commonly used in analytics. Preferred: Indicate "nice ...

Sallie Mae Bank

Manager, Data Analytics

Newark, DE

Familiarity with data visualization tools such as Tableau, Power BI, or similar. * Experience with SQL, Python, R, or other programming languages commonly used in analytics. Preferred: Indicate "nice ...

Sallie Mae

Manager, Data Analytics

Newark, DE · On-site

Familiarity with data visualization tools such as Tableau, Power BI, or similar. * Experience with SQL, Python, R, or other programming languages commonly used in analytics. Preferred: Indicate "nice ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Delaware

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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Wholesale Lending Services - Risk Operations - Strategy & Data Lead, Vice President

JPMorganChase

Newark, DE • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. In this role as a Strategy & Data Lead in Risk Operations, you will drive the data, analytics, and automation agenda to support leadership decision-making and improve operational efficiency.
Responsibilities:
• Deliver on-demand operational reporting and analytics to support leadership needs and project delivery
• Design, build, deploy, and continuously improve scalable reporting and analytics solutions
• Develop and maintain data workflows and analysis using SQL, Python, Alteryx, and Tableau
• Identify, lead, and oversee deployment of robotic process automation and intelligent automation solutions to reduce manual effort and error rates
• Manage intelligent automation governance and attestation activities to support control requirements
• Drive adoption of low-code solutions to enable scalable workflows and collaboration
• Modernize collaboration and reporting experiences using enterprise productivity tools
• Produce executive-ready dashboards, reporting packs, and narratives that communicate insights, progress, and risks
• Translate complex analytics into clear, action-oriented recommendations for senior leaders
• Identify and shape high-value AI and machine learning use cases across the Risk Operations lifecycle
• Orchestrate cross-functional delivery with disciplined prioritization, execution rigor, and measurable outcomes
Qualifications:
Required:
• Bachelor's degree
• Minimum of 4 years of experience delivering data, analytics, reporting, or automation solutions in financial services, risk, credit operations, or adjacent domains
• Demonstrated leadership delivering material business outcomes and end-to-end execution ownership
• Proficiency in SQL for data extraction, transformation, and analysis
• Proficiency in Python for analytics and automation use cases
• Hands-on experience with Alteryx for data preparation and workflow automation
• Hands-on experience with Tableau for dashboard development and operational reporting
• Experience delivering intelligent automation using UiPath and/or Microsoft Power Platform capabilities
• Proven ability to manage cross-functional delivery aligned to strategic initiatives and operational needs
• Strong ability to translate complex data into concise executive narratives and decision-ready insights
• Experience leading change, upskilling others, and establishing durable operating routines
Preferred:
• Experience implementing measurable benefits tracking and benefits realization governance for automation and analytics programs
• Familiarity with enterprise control, risk, and attestation processes supporting automation and reporting solutions
• Experience modernizing collaboration and workflow processes using SharePoint Online and low-code tools
• Experience identifying and framing AI/ML use cases and partnering with governance forums to advance delivery
• Knowledge of credit application and data ecosystems spanning multiple platforms and data sources
• Experience operating in a high-visibility environment supporting senior leaders with time-sensitive insights
• Strong stakeholder management skills across technology, data, operations, and risk partners
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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