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Data Analyst Jobs in McKees Rocks, PA (NOW HIRING)

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, prepping and scanning medical bills, data entry, data verification and assisting with various ...

Adecco

Pricing & Data Analyst (Not Remote)

Pittsburgh, PA · On-site

$22/hr

Adecco is currently assisting a local Customer in their search for a Pricing & Data Analyst positions in Pittsburgh, PA This is a great opportunity to further your existing skills as a Pricing & Data ...

Adecco

Pricing & Data Analyst (Not Remote)

Pittsburgh, PA · On-site

$22/hr

Adecco is currently assisting a local Customer in their search for a Pricing & Data Analyst positions in Pittsburgh, PA This is a great opportunity to further your existing skills as a Pricing & Data ...

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, prepping and scanning medical bills, data entry, data verification and assisting with various ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in McKees Rocks, PA

Data Analyst information

See McKees Rocks, PA salary details

$32K

$77.7K

$127.9K

How much do data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst in McKees Rocks, PA is $77,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

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.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

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 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 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 top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

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.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in McKees Rocks, PA?

The most popular types of Data Analyst jobs in McKees Rocks, PA are:

What cities near McKees Rocks, PA are hiring for Data Analyst jobs?

Cities near McKees Rocks, PA with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in McKees Rocks, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $77,692 per year, or $37.4 per hour.

Vice President - Data Analysis

Triple LLC

Pittsburgh, PA • On-site

Full-time

Re-posted 16 days ago

Job description

Description:

We are looking for a highly analytical and experienced VP Data Analysis to join our team, which is at the forefront of adtech powering personalized offer experiences for millions of financial institution users. You will be instrumental in transforming vast amounts of data into actionable business intelligence that drives platform performance, client strategy, and user engagement.


Core Responsibilities
  • Data Analysis & Insight Generation:
    • Own the end-to-end analysis of large, complex datasets, focusing on campaign performance, user behavior, and transaction patterns to uncover key business insights.
    • Translate raw data into clear, compelling stories and recommendations for internal stakeholders and external financial institution partners.
    • Proactively monitor key performance indicators (KPIs) to identify trends, anomalies, and opportunities for optimization within the offers platform.
  • Reporting & Visualization:
    • Design, build, and maintain impactful, user-friendly dashboards (e.g., using Tableau, Power BI, or similar tools) to track performance and democratize data access across the organization.
    • Develop standardized and custom reports to communicate results and insights effectively to executive leadership and client teams.
  • Technical Execution:
    • Apply strong SQL skills to query and manipulate large data warehouse tables for analytical projects.
    • Utilize advanced data analysis techniques, with Python knowledge as a strong plus, to automate reporting, conduct advanced statistical analysis, or model platform scenarios.
  • Strategic Collaboration:
    • Partner with Product, Engineering, and Client Success teams to define data requirements, implement tracking, and measure the impact of new features or marketing strategies.
Required Qualifications
  • 8+ years of progressive experience in a Data Analyst, Business Analyst, or similar quantitative role.
  • Expert proficiency in Industry Standard Measurement Capabilities for complex merchant needs
  • Proven experience in data visualization and dashboard development using industry-standard tools (e.g., Tableau, Power BI, Looker, Superset).
  • Demonstrable track record of successfully taking large, unstructured datasets and extracting meaningful, actionable business insights.
  • Must have experience in one of the following domains:
    • Analyzing marketing campaign performance (e.g., ad spend, conversion rates, audience segmentation).
    • Building out measurement capabilities and custom insights for direct merchant campaigns
    • Reporting out on campaign generated sales and overall incrementality
    • Working directly with financial or transaction data (e.g., credit card transactions, merchant data, loyalty programs).
Preferred Qualifications (A Plus)
  • Experience with Python (Pandas, NumPy, Scikit-learn) for data analysis and modeling.
  • Familiarity with the adtech ecosystem, especially offers platforms, loyalty programs, or personalization engines.
  • Experience working with cloud data warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift).
Requirements: