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Data Associate Jobs in Baltimore, MD (NOW HIRING)

An Associate's degree plus 12 years of relevant experience may be considered for individuals with ... Ability to translate complex data into strategic insights and automated analytics workflow ...

Associate's degree with 12 years of relevant experience may be considered. * Other degrees with strong coursework in advanced math, statistics, AI/ML, computer science, or data mining, or relevant ...

Associate's degree with 12 years of relevant experience may be considered. * Other degrees with strong coursework in advanced math, statistics, AI/ML, computer science, or data mining, or relevant ...

Data Scientist

Odenton, MD · On-site

$107K - $195K/yr

An Associate's degree plus 12 years of relevant experience may be considered for individuals with ... Ability to translate complex data into strategic insights and automated analytics workflow ...

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

Data Scientist

Fort George G Meade, MD · On-site

$120 - $150/hr

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

Data Scientist

Fort George G Meade, MD · On-site

$120 - $180/hr

We are hiring a Data Scientist to work in the Fort Meade, MD vicinity . Position location is ... An Associate's degree plus 5 years of relevant experience may be considered for individuals with ...

Data Scientist

Fort George G Meade, MD · On-site

$110 - $170/hr

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning ...

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

We believe doing the right thing for our clients and our associates is good business. With a career ... Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of ...

Databricks Certified Data Analyst Associate * Databricks Certified Machine Learning Associate * Other current Databricks certifications Preferred Qualifications Experience with one or more of the ...

Associates degree with 12 years of relevant experience * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Showing results 21-40

Data Associate information

See Baltimore, MD salary details

$14

$32

$55

How much do data associate jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data associate in Baltimore, MD is $32.86, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $38.94 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Baltimore, MD? The most popular types of Data jobs in Baltimore, MD are:
What are popular job titles related to Data Associate jobs in Baltimore, MD? For Data Associate jobs in Baltimore, MD, the most frequently searched job titles are:
What cities near Baltimore, MD are hiring for Data Associate jobs? Cities near Baltimore, MD with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,357 per year, or $32.9 per hour.

Senior Analyst, Data Analytics - Data Enablement Team

T. Rowe Price Associates, Inc.

Owings Mills, MD • On-site

$82K - $104K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

Role Summary

We are looking for a Senior Analyst to join the Data Enablement Team, a new team within theChief FinancialOfficer (CFO)organization focused on making data more accessible, trusted, and actionable for business users. This role is ideal for a strong analytics professional who enjoys solving data problems, partnering with stakeholders, and helping build practical data solutions that improve how teams work.

In this role, the individual will contribute to the advancement of the CFO data strategy by helping develop strategic data sets, improving access to data for self-service use, and supporting the delivery of scalable analytics and reporting solutions.Therole offers the opportunity to work across business and technology partners, apply modern tools and techniques, and help shape best practices for data quality, governance, and usability within assigned data domains.

This position goes beyond traditional reporting and visualization work and is well suited for someone who is excited by the opportunity to help build a growing data enablement capability, explore emerging technologies including AI, and deliver data solutions that drive efficiency and better decision-making.

Responsibilities

  • Serves as a key contributor to the Data Enablement Team in support of the CFO data strategy, helping to expand the team's impact beyond data visualization to broader data enablement and strategic data management.
  • Develops, enhances, andmaintainsstrategic data sets that improve consistency, usability, and trust in data for business stakeholders.
  • Enablesfaster, more efficient access to data for users through self-service solutions, streamlined data workflows, and scalable delivery models.
  • Prepares visualizations and delivers results to management and other leaders; partners with business subject matter experts to provide recommendations and communicate observed outcomes to both technical and nontechnical audiences.
  • Translates business requirements into scalable data solutions, ensuring alignment with enterprise data architecture, governance policies, and business priorities.
  • Leads cross-functional groups to define requirements andsupportsthe development of project plans, use cases, user stories, and business cases.
  • Independently performs advanced and moderately complex statistical, quantitative, and analytical work in support of assigned business areas.
  • Partners with business subject matter experts and technology teams toidentifyopportunities to improve analytical capabilities, enhance data accessibility, and modernize data solutions.
  • Stays abreast of developments in data, analytics, and emerging technologies, including AI capabilities, and evaluates opportunities to apply them to improve efficiency, insights, and user enablement.
  • Champions data governance best practices by promoting data integrity, quality, security, compliance, andappropriate useof data across analytics and data enablement activities.
  • Collaborates with data stewards and data owners to implement and enhance data management frameworks, metadata standards, and data lineage documentation within assigned data domains.
  • Supports the development and enforcement of data access controls, privacy protocols, and governance standards in line with organizational and regulatory requirements.
  • Proactivelyidentifiesopportunities to reduce manual effort, improve data delivery timeliness and accuracy, and strengthen the overall user experience for data consumers.
  • Validates and reviews outputs to ensure analytical results and data solutions address identified business needs.
  • Serves as a resource to less experienced team members by sharing methodologies, techniques, and best practices.

Qualifications

Required:

  • Bachelor's degree or the equivalent combination of education and relevant experience
  • 5+ years of total relevant work experience
  • Experience working in data analytics, business intelligence, data enablement, data management, or a related function
  • Experience translating business needs into data solutions, reporting capabilities, or analytical outputs
  • Experience working with cross-functional stakeholders to define requirements and deliver business value

Preferred:

  • Experience withPower BI, Snowflake, SQL, Python, and Alteryx
  • Experience building or supporting strategic data sets, curated data assets, or self-service data solutions
  • Experience working with metadata, data lineage, data definitions, and domain-based data ownership models
  • Experience supporting or applying data governance, data quality, and data management best practices
  • Familiarity with enterprise data architecture concepts and scalable data solution design
  • Interest in emerging analytics technologies and AI-enabled capabilities
  • Strong ability to translate complex technical concepts and analyses for nontechnical audiences
  • Strong problem-solving, communication, and stakeholder management skills

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status)

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$96,500.00 - $164,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$105,000.00 - $180,000.00 for the location of: Washington, D.C.
$120,000.00 - $205,000.00 for the location of: New York, California

Placement within the range provided above is based on the individual's relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.

Benefits

We value your goals and needs, at work and in life. As an associate, you'll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.

Featured employee benefits to enrich your life:

  • Competitive compensation

  • Annual bonus eligibility

  • A generous retirement plan

  • Hybrid work schedule

  • Health and wellness benefits, including online therapy

  • Paid time off for vacation, illness, medical appointments, and volunteering days

  • Family care resources, including fertility and adoption benefits

Learn more about our benefits.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

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