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Full Time Rbc Data Analyst Jobs in Pittsburgh, PA

Corvel

Data Verification Analyst

Pittsburgh, PA · On-site

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail ... A comprehensive benefits package is available for full-time regular employees and includes Medical ...

Corvel

Data Verification Analyst

Pittsburgh, PA · Hybrid

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail ... A comprehensive benefits package is available for full-time regular employees and includes Medical ...

Cmu

Data Scientist

Pittsburgh, PA · On-site

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Air

Data Scientist

Pittsburgh, PA · On-site

... analysis. You will have the opportunity to expand and grow data-driven research across Air, and ... This role is a full-time position located out of our office in Pittsburgh, PA. This role may ...

Air

Data Scientist

Pittsburgh, PA · On-site

... analysis. You will have the opportunity to expand and grow data-driven research across Air, and ... This role is a full-time position located out of our office in Pittsburgh, PA. This role may ...

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All JobsRbc Data Analyst JobsFull Time Rbc Data Analyst JobsFull Time Rbc Data Analyst Jobs in Pittsburgh, PA

Full Time Rbc Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

How much do full time rbc data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for full time rbc data analyst in Pittsburgh, PA is $80,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Rbc Data Analyst vs Full Time Rbc Data Scientist?

AspectFull Time Rbc Data AnalystFull Time Rbc Data Scientist
Required CredentialsBachelor's in Data, Finance, or related field; often certifications like Microsoft Excel or SQLBachelor's or Master's in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentOffice setting, analyzing financial data, creating reportsOffice or remote, developing models, advanced data analysis
Employer & Industry UsageBanking, finance, and investment sectorsBanking, finance, tech, and consulting sectors

Full Time Rbc Data Analysts focus on interpreting financial data and generating reports, while Full Time Rbc Data Scientists develop predictive models and advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What are the most commonly searched types of Rbc Data Analyst jobs in Pittsburgh, PA? The most popular types of Rbc Data Analyst jobs in Pittsburgh, PA are:
Full Time Rbc Data Analyst jobs near you

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 18 days ago

Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/

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