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Data Analytics Jobs in Maryland (NOW HIRING)

Data Analyst

Baltimore, MD · On-site

$75 - $110/hr

... Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Showing results 41-60

Data Analytics information

See Maryland salary details

$23

$53

$91

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Maryland is $53.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $60.19 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Maryland?

The most popular types of Data Analytics jobs in Maryland are:

What cities in Maryland are hiring for Data Analytics jobs?

Cities in Maryland with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Maryland as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $110,519 per year, or $53.1 per hour.

Senior Analyst, Data Analytics - Data Enablement Team

T. Rowe Price Associates, Inc.

Baltimore, MD • On-site

$85K - $107K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago


Key responsibilities

  • Develops, enhances, and maintains strategic data sets to improve data consistency, usability, and trust for business stakeholders.

  • Enables faster, more efficient access to data through self-service solutions, streamlined workflows, and scalable delivery models.

  • Prepares visualizations and communicates results to management and leaders, translating business requirements into scalable data solutions.


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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