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Data Analyst Jobs in Ridley Park, PA (NOW HIRING)

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 ...

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Data Analyst

Philadelphia, PA ยท On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Philadelphia, PA Position Summary The Data Analyst supports the Client's Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that ...

Data Analyst

Bridgeport, PA ยท On-site

$70K - $85K/yr

Data Analyst (Power BI/SQL) Location: Conshohocken, PA Salary: $70,000 - $85,000 Overview We are seeking a Data Analyst with 3-5 years of experience to support reporting, analytics, and data ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview Process Round 1: Technical Interview Round 2: Case Study (Candidates will be given a takeaway case ...

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a ...

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a ...

Data Analyst Duration: 12+ months Location: Onsite in Malvern, PA Responsibilities: * Minimum of five years related work experience. * Undergraduate degree or equivalent combination of training and ...

This Data Analyst will primarily support the program's initiatives by reviewing data submissions for accuracy, take direction on how to look up and validate data, follow up to correct deficient data ...

Data Analyst

Wilmington, DE ยท On-site

$68K - $109K/yr

The Christiana Care Data Analyst is responsible for: analysis/consulting/configuration/ integration/validation and support with a focus on predictive analytics and reporting. PRINCIPAL DUTIES AND ...

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop automated solutions to analyze, correlate and report data and insights to stabilize and scale our self ...

Data Analyst

Philadelphia, PA ยท On-site

$17.92/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts, buildings and contact information with various systems. Their primary purpose is the information ...

The Data Analyst performs technical efforts including creating and modifying alarm accounts, buildings and contact information with various systems. Their primary purpose is the information ...

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Data Analyst information

See Ridley Park, PA salary details

$32.2K

$78.3K

$128.8K

How much do data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst in Ridley Park, PA is $78,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,900.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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 statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Ridley Park, PA?

The most popular types of Data Analyst jobs in Ridley Park, PA are:

What job categories do people searching Data Analyst jobs in Ridley Park, PA look for?

The top searched job categories for Data Analyst jobs in Ridley Park, PA are:

What cities near Ridley Park, PA are hiring for Data Analyst jobs?

Cities near Ridley Park, PA with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Ridley Park, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,273 per year, or $37.6 per hour.

Data analyst

Wilmington, DE โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 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