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Predictive Analytics Jobs in Pennsylvania (NOW HIRING)

PNC Bank

Bus Analytics Mgr Sr

Pittsburgh, PA · On-site

Experience leading machine learning, predictive analytics, or data science initiatives. Knowledge of Generative AI, LLM-based solutions, and AI-assisted decision-support tools. Experience developing ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $58/hr

Exposure to data science, forecasting, or predictive analytics initiatives * Knowledge of geospatial analysis or ESRI/ArcGIS concepts * Experience supporting cloud and on-premises data ecosystems

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Exposure to data science, forecasting, or predictive analytics initiatives * Knowledge of geospatial analysis or ESRI/ArcGIS concepts * Experience supporting cloud and on-premises data ecosystems

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Exposure to data science, forecasting, or predictive analytics initiatives * Knowledge of geospatial analysis or ESRI/ArcGIS concepts * Experience supporting cloud and on-premises data ecosystems

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Predictive Analytics information

See Pennsylvania salary details

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$113K

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How much do predictive analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for predictive analytics in Pennsylvania is $112,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $123,300.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in Pennsylvania? The most popular types of Predictive Analytics jobs in Pennsylvania are:
What are popular job titles related to Predictive Analytics jobs in Pennsylvania? For Predictive Analytics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics jobs in Pennsylvania look for? The top searched job categories for Predictive Analytics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Predictive Analytics jobs? Cities in Pennsylvania with the most Predictive Analytics job openings:
Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,993 per year, or $54.3 per hour.

Entry Level Business Analyst

Data Cloud Merge

Philadelphia, PA • On-site

Full-time

Re-posted 16 days ago

Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
  • Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
  • Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
  • Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
  • Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.

Qualifications
  • Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
  • Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
  • Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
  • Advanced working SQL knowledge and experience working with relational databases and Python.

Additional Information
Describe your perks and culture

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