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Predictive Analytics Jobs in Baltimore, MD (NOW HIRING)

INDEX ANALYTICS LLC

Data Scientist

Windsor Mill, MD · On-site +1

Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from healthcare data. * Perform data mining and exploratory data analysis (EDA) using ...

Amivero

Data Scientist

Columbia, MD

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

Amivero

Data Scientist

Columbia, MD

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

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Predictive Analytics information

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How much do predictive analytics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for predictive analytics in Baltimore, MD is $112,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $122,200.00 per year, depending on experience, location, and employer.

What is a Predictive Analytics job?

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 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 are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?

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 Baltimore, MD? The most popular types of Predictive Analytics jobs in Baltimore, MD are:
What are popular job titles related to Predictive Analytics jobs in Baltimore, MD? For Predictive Analytics jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics jobs in Baltimore, MD look for? The top searched job categories for Predictive Analytics jobs in Baltimore, MD are:
Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,005 per year, or $53.8 per hour.
Sr. Business Intelligence Analyst, Prospect Analytics

Sr. Business Intelligence Analyst, Prospect Analytics

Johns Hopkins University

Baltimore, MD • On-site

Full-time

Re-posted 26 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 886 rated healthcare providers

Job description

The Sr. Business Intelligence Analyst is responsible for data analytics and additional support for performance measures, ongoing measurement, data collection, reporting, data visualizations, and information dissemination. The Sr. Analyst is responsible for implementing the strategic design and maintenance of business intelligence applications. The Sr. Analyst will identify, research, and resolve technical problems. The Sr. Analyst will ensure that the use of business intelligence applications enhances business decision-making capabilities. The Sr. Analyst will engage in data exploration exercises with a variety of complex business intelligence tools, requiring knowledge of relational database structures. The Sr. Analyst will serve as a resource on complex technical and business matters. The Sr. Analyst will work independently and contributes to moderately complex to complex aspects of projects. Provides a leadership role for work groups using knowledge in the area of specialization. The Sr. Analyst will collaborate with other analytic teams and central engineering team as directed. The Sr. Analyst will work under the supervision of a Data Trust Analytic Team Leader or other data governance or analytic leadership appropriate for the scope of work. This supervision may be through a matrixed or direct reporting structure.
Situated within the Office of Advancement Services (OAS), the Relationship Management and Prospect Analytics (RMPA) function supports frontline fundraising efforts by establishing and maintaining policy and practice related to the tracking and coordination of prospect activity through the donor cycle, focused on the strategic management of major and principal gift prospects. The RMPA team partners with fundraisers to optimize portfolio and pipeline management; establish systems and work flows for prospect qualification; track and report on performance metrics; and develop data tools, systems, and reporting in support of these efforts.
The Sr. Business Intelligence Analyst will oversee key projects and tasks within the Prospect Analytics function of RMPA, which oversees data management, analysis, and visualization for major and principal gift prospect data. The incumbent will extract, synthesize, and analyze data from the JHAS Salesforce database for quantitative and qualitative prospect analytics projects, and will develop and maintain reporting and data visualization tools for prospect data for the DAR enterprise.
Specific Duties & Responsibilities:
  • Responsible for data analytics and additional support for performance measures, ongoing measurement, data collection, reporting, data visualizations, and information dissemination.
  • Responsible for implementing the strategic design and maintenance of business intelligence applications. Identifies, researches, and resolves technical problems.
  • Ensure that the use of business intelligence applications enhances business decision making capabilities.
  • Engage in data exploration exercises with a variety of complex business intelligence tools, requiring knowledge of relational database structures.
  • Serve as a resource on complex technical and business matters.
  • Provide a leadership role for the work group through knowledge in the area of specialization.
  • Collaborate with other analytic teams and central engineering team as directed.
  • Make appropriate decisions, using available resources, to achieve positive outcomes for patients, visitors, staff, and students in balance with sound business practice.
  • Make recommendations for changes in the current departmental systems and processes and contribute ideas and suggestions for solutions to problems.
  • Respond to urgent, impromptu, and unplanned situations by assessing their level of importance, instituting appropriate action and appropriately managing information and communication
  • Communicate decisions to appropriate management.
  • Prepare incident/occurrence reports as necessary.
  • Prioritize daily tasks and assignments appropriately.
  • Complete mandatory Epic and/or other software or analytic tool training as required.
  • Collaborate with other analytic teams as directed.
  • Report and follow-up on software problems delaying workflow.
  • Other duties as assigned.

In addition to the duties described above, the Sr. Business Intelligence Analyst will:
  • Partner with Director and Sr. Associate Director to support the design and execution of quantitative and qualitative analytics projects to support decision making around major and principal gift fundraising through the campaign and beyond.
  • Collaborate with Advancement leadership and peer institutions to translate fundraising priorities into prospect scoring frameworks and analytics roadmaps that support prospect identification, qualification, and engagement strategies.
  • Apply statistical modeling, predictive analytics, and data storytelling techniques to develop scoring methodologies and design, develop, and maintain prospect scoring models and analytical tools to support fundraising efforts and organizational priorities.
  • Build and maintain reporting and data visualization tools, in line with DAR business priorities, to support gift officer performance tracking, major and principal gift prospect management, and prospect and proposal pipeline tracking and projections.
  • Present insights and analyses in clear, compelling, and accessible formats for both technical and non-technical stakeholders. Translate data and analytical findings into actional recommendations that inform fundraising strategy, portfolio management, and operational processes.

Minimum Qualifications
  • Bachelor's degree in data science, statistics, computer science, or a related field.
  • Four years of related experience, including two years of data analytics experience.
  • Additional education may substitute for required experience and additional related experience may substitute for required education permitted by the JHU equivalency formula beyond a high school diploma/graduation equivalent

Preferred Qualifications
  • Three to four years experience in data analytics
  • Experience in non-profit fundraising field, preferably at a large, complex institution
  • Expertise in statistical modeling, advanced data analytics methods, and associated tools
  • Expertise in database querying using SQL, SOQL
  • Proficiency with reporting and data visualization tools (Tableau, Power BI, Qlik Sense, etc.)
  • Proficiency in advanced Excel functions (Power Query, VBA, Macros, Pivot Tables, Simulations)
  • Expertise in ETL processes; understanding of data models and data warehousing concepts
  • Experience with a Salesforce-based CRM system
  • Ability and willingness to understand the business of fundraising and how data insights can inform and drive decisions
  • Ability to work both independently and collaboratively as a member of a team
  • Ability to think strategically and innovatively to serve evolving business needs

Classified Title: Sr. Business Intelligence Analyst
Job Posting Title (Working Title): Sr. Business Intelligence Analyst, Prospect Analytics
Role/Level/Range: ATP/04/PD
Starting Salary Range: Minimum: $62,899 - Maximum: $110,100 (targeted salary: $87k-$93k commensurate with experience)
Employee group: Full Time
Schedule: Monday-Friday, 8:30am-5:00pm
FLSA Status: Exempt
Location: JH at Keswick
Department name: 60001130-Relationship Mgmt & Prospect Analytics
Personnel area: University Administration
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