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Temporary Data Analyst Sql Tableau Jobs in Delaware

SQL * Data Analysis & Data Profiling * Reference Data Management (RDM) * Data Quality & Data Governance * Excel (Advanced) * Data Mapping & Reconciliation Nice to Have * Power BI / Tableau * Python

Design, deploy, and maintain interactive performance dashboards using Power BI or Tableau for ... SQL: Advanced proficiency in writing SQL queries for relational databases. * BI Tools: Strong ...

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 ...

... Temp-to-Hire. In addition, our industry expertise and knowledge within financial services ... and data analysis skill sets Primary experience with industry BI/Reporting tool - Tableau ...

... Temp-to-Hire. In addition, our industry expertise and knowledge within financial services ... Act as an expert in Data Interoperability, Analytics and BI. * Serve as a primary point of contact ...

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

DATA QUALITY ANALYST WHAT IS THE OPPORTUNITY? The Data Quality Analyst will be responsible for ... Ability to write SQL queries, Python code, and Tableau dashboard designindependently. * Knowledge ...

Act as an expert in Data Interoperability, Analytics and BI. Serve as a primary point of contact ... Extensive experience of entire lifecycle (cradle to grave) with Tableau including hands-on ...

Credit Portfolio Officer

Wilmington, DE · On-site

$151K - $175K/yr

Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data ... Profit and loss analysis; and SAS, SQL, Tableau, Unix. Applicants submit resumes at Please ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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Temporary Data Analyst Sql Tableau information

What is the difference between Temporary Data Analyst Sql Tableau vs Temporary Data Analyst Python Power BI?

AspectTemporary Data Analyst Sql TableauTemporary Data Analyst Python Power BI
Required SkillsSQL, Tableau, data visualizationPython, Power BI, data visualization
Work EnvironmentBusiness intelligence teams, analytics departmentsData science teams, analytics departments
Common Industry UsageFinance, marketing, retailTech, healthcare, finance

Both roles involve data analysis and visualization but differ mainly in tools used. SQL Tableau focuses on SQL databases and Tableau dashboards, while Python Power BI emphasizes programming with Python and Power BI for data insights. Your choice depends on the specific tools preferred by the employer and your skill set.

What does a temporary data analyst with SQL and Tableau do?

A Temporary Data Analyst specializing in SQL and Tableau is responsible for collecting, organizing, and analyzing data to support business decision-making on a short-term basis. They use SQL to extract, manipulate, and manage data from databases, and Tableau to visualize and present insights in a clear, interactive way. This role often involves creating reports, identifying trends, and ensuring data accuracy to help stakeholders make informed choices. Temporary positions typically last for a few months and may focus on specific projects or seasonal needs.

What are some common challenges faced by temporary data analysts working with SQL and Tableau, and how can they be addressed?

As a Temporary Data Analyst using SQL and Tableau, a common challenge is quickly understanding and adapting to existing data structures and business processes within a short contract period. You may also encounter incomplete or inconsistent datasets that require careful cleaning and validation before analysis. Building effective dashboards in Tableau that meet stakeholder needs can be tricky if requirements are unclear or change frequently. To address these challenges, it's important to communicate proactively with team members, document your work thoroughly, and leverage available resources like data dictionaries and past reports to get up to speed efficiently.

What are the key skills and qualifications needed to thrive as a temporary data analyst specializing in SQL and Tableau, and why are they important?

To thrive as a Temporary Data Analyst with a focus on SQL and Tableau, you need strong analytical skills, experience with data manipulation, and a relevant degree in statistics, mathematics, or computer science. Proficiency in SQL for querying databases and expertise in Tableau for creating data visualizations are typically required, with certifications in these tools being advantageous. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills are crucial for delivering accurate, timely analyses and supporting data-driven decision-making in a fast-paced, project-based environment.

What are the most commonly searched types of Data Analyst Sql Tableau jobs in Delaware?

The most popular types of Data Analyst Sql Tableau jobs in Delaware are:

What cities in Delaware are hiring for Temporary Data Analyst Sql Tableau jobs?

Cities in Delaware with the most Temporary Data Analyst Sql Tableau job openings:

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Job Title: Data Analyst (Reference Data Management - RDM)

Location: Wilmington, DE (Onsite)
Employment Type: Full-Time


Position Summary

We are seeking a highly analytical and detail-oriented Data Analyst with Reference Data Management (RDM) experience to join our team in Wilmington, DE. The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise environments. The role will focus on ensuring the accuracy, consistency, and integrity of enterprise reference data while supporting business stakeholders through insightful analysis and reporting.


Key Responsibilities
  • Analyze, validate, and maintain reference data across multiple business applications and enterprise platforms.
  • Perform data profiling, cleansing, reconciliation, and quality assessments.
  • Partner with business users and data stewards to define and implement data quality rules.
  • Monitor data quality metrics and proactively identify data discrepancies.
  • Support Reference Data Management (RDM) initiatives, governance frameworks, and data lineage activities.
  • Develop and maintain SQL queries, reports, dashboards, and analytical models.
  • Conduct root cause analysis for data issues and recommend corrective actions.
  • Collaborate with technology teams during data migrations, system implementations, and data integration projects.
  • Document business requirements, data mappings, data definitions, and process workflows.
  • Support regulatory reporting, audit requests, and compliance initiatives.
  • Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and stakeholder discussions.
  • Assist in establishing best practices around data governance, metadata management, and data stewardship.

Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, Statistics, Finance, Mathematics, or related field.
  • 4+ years of experience as a Data Analyst, Business Data Analyst, or Data Management Analyst.
  • 2+ years of hands-on experience with Reference Data Management (RDM) or Master Data Management (MDM).
  • Strong SQL querying and data analysis skills.
  • Experience working with large datasets from multiple source systems.
  • Strong understanding of data governance, data quality, and data lifecycle management.
  • Experience with data mapping, reconciliation, and data lineage documentation.
  • Excellent problem-solving and analytical skills.
  • Strong stakeholder management and communication abilities.

Preferred Qualifications
  • Financial Services, Banking, Capital Markets, Insurance, or Wealth Management domain experience.
  • Experience with RDM/MDM tools such as:
    • Informatica MDM
    • GoldenSource
    • Alveo
    • Markit EDM
    • Reltio
    • Collibra
    • Ataccama
  • Experience with BI tools such as Power BI, Tableau, or Qlik.
  • Knowledge of ETL processes and data warehousing concepts.
  • Familiarity with Python, R, or data automation tools.
  • Experience working in an Agile/Scrum environment.

Technical Skills

Must Have

  • SQL
  • Data Analysis & Data Profiling
  • Reference Data Management (RDM)
  • Data Quality & Data Governance
  • Excel (Advanced)
  • Data Mapping & Reconciliation

Nice to Have

  • Power BI / Tableau
  • Python
  • Snowflake
  • Azure/AWS Data Services
  • Collibra / Informatica MDM
  • ETL Tools

Key Competencies
  • Analytical Thinking
  • Attention to Detail
  • Data Governance Mindset
  • Stakeholder Management
  • Problem Solving
  • Process Improvement
  • Effective Communication
  • Team Collaboration

Compensation & Benefits
  • Competitive Base Salary
  • Annual Bonus Eligibility
  • Medical, Dental, Vision Insurance
  • 401(k) with Company Match
  • Paid Time Off & Holidays
  • Career Growth Opportunities
  • Learning & Development Programs