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Data Analyst Python Sql Jobs in Towson, MD (NOW HIRING)

Demonstrate creativity, curiosity, and passion for data analysis, with proficiency in Excel, Power BI, Tableau, or SQL; Python experience is a plus. * Possess strong quantitative analytical skills ...

... SQL, ETL and Data Warehousing. Experience in developing of data visualizations. Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with, preparing, and integrating ...

Data Analyst

Towson, MD · On-site

$34/hr

This job might be an outstanding fit if you: - Have experience performing enterprise data reconciliation and data quality analysis across multiple systems (must-have). - Possess strong Snowflake SQL ...

Data Analyst

Baltimore, MD · Remote

$70K/yr

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Data Engineer

Columbia, MD · On-site

$112K - $135K/yr

Java, Python, SQL Data & Streaming: Kafka, Apache NiFi Cloud: AWS (S3, SQS, SNS) Tools: GitLab ... Driving innovation across data ingestion, processing, and analytics capabilities * Supporting ...

Data Engineer (PRIME Role)

Columbia, MD · On-site

$114K - $138K/yr

Java, Python, SQL Data & Streaming: Kafka, Apache NiFi Cloud: AWS (S3, SQS, SNS) Tools: GitLab ... Driving innovation across data ingestion, processing, and analytics capabilities * Supporting ...

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Data Analyst Python Sql information

See Towson, MD salary details

$32.6K

$79.2K

$130.3K

How much do data analyst python sql jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data analyst python sql in Towson, MD is $79,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 per year, depending on experience, location, and employer.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Towson, MD? For Data Analyst Python Sql jobs in Towson, MD, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Towson, MD look for? The top searched job categories for Data Analyst Python Sql jobs in Towson, MD are:
What cities near Towson, MD are hiring for Data Analyst Python Sql jobs? Cities near Towson, MD with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Towson, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,169 per year, or $38.1 per hour.
Data Analyst

Data Analyst

T Rowe Price

Owings Mills, MD • Hybrid

Other

Posted 14 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

About this Position

We are seeking a Data Analyst, Individual Investor (II) Segment Marketing who will provide strong quantitative and critical thinking skills to help deliver a high-impact strategy for II client segments.

Analysts don't just analyze marketing outcomes; they are active in the creation and delivery of data driven marketing campaigns.This end-to-end view is essential in building evidence and intuition on the overall effectiveness of our marketing efforts.

Role Summary

Marketing analysts play a key role in the overall growth value chain in the Individual Investors distribution team. This role is accountable for delivering value through unearthing client insights, driving testing in marketing and experiences, and assessing campaign and segment level performance.

If you are curious about human behavior, thrive in hypothesis driven environments, and enjoy combining creativity with evidence-based thinking, this is a role for you!

Responsibilities

  • Test Design, execution, and post testing analysis: Working primarily in our marketing technology platforms, build and tests single and multi-campaigns to drive greater client engagement and mutual benefit.Execute components of multichannel marketing plans aligned to specific populations of prospects and clients.

  • Channel Performance Analysis: Continuously monitor and analyze the performance of various distribution channels. Identify trends, assess the effectiveness of strategies, and provide recommendations for optimization.

  • Analytical Reporting: Prepare detailed analytical reports and presentations, translating complex data into clear, actionable insights for stakeholders.Measure success and impact of channel and segment marketing plans by monitoring key performance indicators to inform future development of programs. May provide recommendations on additional key performance indicators, benchmarks, and tactical marketing plan adjustments.

  • Modeling and Forecasting: Develop, adapt, and refine forecasting models to support strategic planning and goal setting. Utilize advanced data modeling techniques to provide actionable insights and guide decision-making processes.

  • Supports internal and external elements necessary to the successful execution of segment marketing plans, including working with necessary internal marketing and distribution partners, ensuring all legal and compliance obligations are satisfied, and sharing all necessary content with external partners for review and approval.

Qualifications

Required:

  • Bachelor's degree or the equivalent combination of education and relevant experience AND

  • 2+ years of total relevant work experience

Preferred:

  • Demonstrate creativity, curiosity, and passion for data analysis, with proficiency in Excel, Power BI, Tableau, or SQL; Python experience is a plus.

  • Possess strong quantitative analytical skills, effective problem-solving abilities, and the capability to work independently and collaboratively.

  • Exhibit excellent communication skills and a proven ability to cultivate and nurture relationships; results-oriented with accountability and ownership.

  • Bachelor's degree in Business, Finance, Economics, or Math, with eagerness to learn, especially in marketing.

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.


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