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Junior Data Analyst Jobs in Rosedale, MD (NOW HIRING)

Document analytic workflows and methodologies for knowledge transfer * Mentor junior data scientists and provide technical guidance Qualifications Required Qualifications: * Minimum of 12 years with ...

Junior Financial Analyst The Analyst processes complex transactions and reconciliations related to ... This role combines data entry, accounting, and detailed financial analysis to ensure accuracy ...

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Document analytic workflows and methodologies for knowledge transfer * Mentor junior data scientists and provide technical guidance Qualifications Required Qualifications: * Minimum of 12 years with ...

Document analytic workflows and methodologies for knowledge transfer * Mentor junior data scientists and provide technical guidance Qualifications Required Qualifications: * Minimum of 12 years with ...

Document analytic workflows and methodologies for knowledge transfer * Mentor junior data scientists and provide technical guidance Qualifications Required Qualifications: * Minimum of 12 years with ...

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Junior Data Analyst information

See Rosedale, MD salary details

$33.1K

$76.1K

$122.3K

How much do junior data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for junior data analyst in Rosedale, MD is $76,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $78,200.00 per year, depending on experience, location, and employer.

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

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are the most commonly searched types of Data Analyst jobs in Rosedale, MD?

The most popular types of Data Analyst jobs in Rosedale, MD are:

What are popular job titles related to Junior Data Analyst jobs in Rosedale, MD?

For Junior Data Analyst jobs in Rosedale, MD, the most frequently searched job titles are:

What job categories do people searching Junior Data Analyst jobs in Rosedale, MD look for?

The top searched job categories for Junior Data Analyst jobs in Rosedale, MD are:

What cities near Rosedale, MD are hiring for Junior Data Analyst jobs?

Cities near Rosedale, MD with the most Junior Data Analyst job openings:

Infographic showing various Junior Data Analyst job openings in Rosedale, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,109 per year, or $36.6 per hour.

Data Analyst, Rapid Insights

Owings Mills, MD • On-site

T. Rowe Price Associates, Inc.
Funds, Trusts and Financial Programs • 5 - 10K employees

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Key responsibilities

  • Intake, triage, and prioritize business questions to determine analytical approach.

  • Use analytical tools such as SQL, Excel, Python, and statistical methods to perform data analysis and root-cause investigations.

  • Create and enhance dashboards and visualizations to support timely decision-making.


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

Reporting to the Manager of Data Analytics, Insights & Measurement, the Rapid Insights Data Analyst will play a highly visible role in helping T. Rowe Price's Individual Investors (II) business make better, faster data-driven decisions. II is a dynamic and rapidly evolving component of the firm's growth, focused on empowering individual clients through innovative products, digital experiences, and personalized service. The Rapid Insights program is designed to meet the business where it is - responding quickly to urgent questions, surfacing emerging trends, and accelerating practical quick wins.

In this role, you will work closely with key stakeholders and stay close to the decisions that shape outcomes. You will help intake and clarify requests, prioritize what matters most, analyze data quickly and thoughtfully, and translate findings into concise, business-ready insights and recommendations. The work spans ad hoc analysis, KPI development, root-cause investigation, dashboarding, trend identification, and rapid prototyping. You will balance speed with sound judgment - moving quickly without sacrificing trust, transparency, or analytical discipline.

This is an excellent opportunity for an analyst who enjoys variety, ambiguity, and direct partnership with the business. You will join a collaborative analytics team that values curiosity, adaptability, strong communication, and measurable impact. The strongest candidates will be energized by turning imperfect questions into clear analytical paths, helping stakeholders act with confidence, and recognizing when a recurring or complex need should be handed off for a more durable Analytics Engineering solution.

Responsibilities

  • Intake, triage, and prioritize business questions.
  • Capture requests from multiple channels, clarify the business question, define the decision to be supported, and determine the right analytical path.
  • Prioritize work based on urgency, business value, stakeholder impact, and available capacity, so the business is not blocked waiting on analysis.
  • Maintain close stakeholder alignment throughout the workflow, communicating assumptions, trade-offs, timing, and limitations clearly.
  • Use SQL, Excel, Python, statistical methods, and other analytical tools to perform descriptive and diagnostic analyses, data pulls, and root-cause investigations.
  • Analyze client, digital, marketing, sales, operational, workforce, and business performance questions as needs arise.
  • Synthesize findings into clear implications, options, and recommended next steps that stakeholders can act on quickly.
  • Create and enhance dashboards and visualizations in Power BI, Tableau, or similar tools to improve transparency and support timely decisions.
  • Help define, validate, and communicate KPIs and performance measures so stakeholders understand what is happening and why.
  • Apply strong data storytelling and executive communication to make complex analysis understandable to audiences at all levels.
  • Look beyond the immediate request to identify patterns, themes, anomalies, risks, and opportunities before stakeholders ask.
  • Use trend and pattern identification to connect day-to-day analysis with broader business performance and potential actions.
  • Provide proactive analytical support that helps the business anticipate issues and opportunities rather than only react to them.
  • Rapidly prototype analyses, reporting, and lightweight solutions to test value and meet near-term needs.
  • Recognize recurring, technically complex, automation-heavy, or scalable needs and partner with Analytics Engineering to transition them into durable solutions.
  • Document requirements, logic, assumptions, and business context so handoffs are efficient and reusable.
  • Work effectively in an Agile environment, reprioritizing as business needs change while maintaining transparency and follow-through.
  • Use peer review, validation, and documentation practices appropriate to the speed and risk of the work.
  • Use AI and Copilot capabilities where appropriate to accelerate analysis, documentation, and quality checks while maintaining accuracy and sound judgment.

Qualifications

Required:

  • Bachelor's degree in Data Analytics, Operations Management, Operations Research, Statistics, Computer Science, Information Systems, or related degree/field.
  • 3+ years of total relevant work experience.
  • Proficiency in generating SQL queries.
  • Proficiency with Python, including experience with machine-learning packages.
  • Experience with visualization software such as Tableau or Power BI to communicate business performance and status.
  • Proficient in analytical thinking, problem solving, stakeholder management, requirements gathering, collaboration, adaptability, and documentation.
  • Proficient in applied statistics, SQL, data storytelling, executive communication, and AI/Copilot utilization.
  • Comfortable working in a high-change environment where priorities can shift quickly, and strong judgment matters as much as technical depth.

Preferred:

  • Master's degree in Data Science or Computer Science.
  • Experience with Snowflake or JupyterHub.
  • Experience with AnyLogic or other simulation-based software or programming.
  • Experience with linear programming and solving optimization-based problems with mathematical solvers.
  • Ability to develop and communicate analytical results and insights for partners at all levels within the organization, including senior management.
  • Strong interpersonal skills, including the ability to build trust and confidence, strengthen relationships through ongoing dialogue and interactions, and collaborate effectively with others.
  • Working knowledge of Python/R and exposure to data modeling, automation, Git/version control, Agile delivery practices, testing, and performance optimization are helpful but are not the defining focus of the role.

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.

$77,000.00 - $131,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$84,500.00 - $144,000.00 for the location of: Washington, D.C.
$96,500.00 - $164,000.00 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.

This job posting is expected to be available until:

11/20/2026

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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