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Sql Python Excel Power Bi Tableau Jobs in Delaware

Data Analyst

Lewes, DE · On-site +1

Proficiency in data analysis tools such as SQL, Excel, Python, or R. * Experience with data visualization tools like Tableau, Power BI, or similar. * Strong analytical and problem-solving skills with ...

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

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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 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.
What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Delaware? For Sql Python Excel Power Bi Tableau jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Delaware look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Delaware are:
What cities in Delaware are hiring for Sql Python Excel Power Bi Tableau jobs? Cities in Delaware with the most Sql Python Excel Power Bi Tableau job openings:
Senior Loans Fraud Data Analyst

Senior Loans Fraud Data Analyst

OneMain Financial

Wilmington, DE • On-site

$83K - $105K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

The Senior Loans Fraud Data Analyst will be accountable for fraud strategy analytics for branch/digital loan acquisitions and transactions spanning OneMain's Personal Loans and Auto businesses. It is an exciting opportunity for someone looking to build and truly influence fraud defenses across a variety of originations channels and methods in a growing and evolving organization. The candidate will be responsible for supporting analytics that drive fraud strategy performance and execution, ensuring we are balancing between reducing fraud and maintaining minimum user friction. Working with various partners, the role will also have responsibilities for fraud reporting to senior leadership, strategy implementation, testing and validation, and, as need arises, ad-hoc analyses.
A successful candidate must love digging into the details and have a passion for deriving data-driven insights. This role requires being both proactive and reactive - understanding what the next question may be, while adapting to real-time issues and needs. Though most time will be spent in data and strategy development, there will be opportunities to interface with other teams (Operations, Technology, Compliance) to align with broader organizational initiatives.
In the Role
  • Prepare and present regular fraud performance reporting and analytics results to management and business partners.
  • Support development and execution of fraud acquisition strategies that balance loss prevention, sales growth, and customer experience.
  • Optimize operational efficiency of manual reviews.
  • Collaborate with business partners to ensure fraud strategies are implemented accurately and on-time.
  • Optimize existing verification and fraud processes to improve customer experience and decrease losses.
  • Identify, verify and analyze data defects/issues and communicate with the appropriate team to determine the root cause for issue resolution.
  • Execute ad-hoc data process jobs to enhance fraud prevention efforts.
  • Responsible for develop/updating routine reporting such as Monthly Fraud KPI reporting, vendor performance reporting...etc.
  • Leverage MS Power BI along with advanced data mining techniques to develop and maintain operational performance dashboards for Enterprise Fraud Group
  • Responsible for linking analysis of incoming apps based on customer's matching data and produce reports highlighting suspected applications to support Enterprise Fraud Group in investigating fraud on daily basis (15%).
  • Responsible for managing and monitoring Fraud Schema database

Requirements
  • Bachelor's degree in a quantitative discipline such as Statistics, Economics, Business Management or Computer Science; Master's Degree preferred.
  • Minimum 3+ years' experience in quantitative risk analytics (credit card or personal loans); preferably at a financial institution, auto/fraud experience a plus.
  • Advanced programming skills and knowledge in analytics and statistic tools (e.g. SAS, SQL, Python).
  • Experience utilizing data visualization tools (Tableau, Power BI, or equivalent).
  • Proficient knowledge of Microsoft Excel/PowerPoint.
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
  • Ability to work independently and within a team setting with minimal direction/supervision.
  • Extremely detail-oriented; intellectual curiosity.
  • Ability to multi-task and work against tight deadlines.
  • Experience with writing originations strategies and leveraging third party decision platforms.

Location: Wilmington, DE;
Who we Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options for team members and their dependents
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Continuing education
  • Bonus eligible
  • Paid time off
  • Paid volunteer time
  • And more

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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