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Business Analyst Sql R Python Jobs in Baltimore, MD

Spruce Infotech Inc

Senior Business Analyst

Sparks, MD · On-site

They are looking for a data analyst to work with both the business and technical team to do data ... Experience doing data analysis--light SQL querying experience--be able to look at the system and ...

T Rowe Price

Senior Business Analyst

Owings Mills, MD · On-site

$88K - $113K/yr

Rowe Price seeks a Senior Business Analyst in Owings Mills, MD to partner with the technical ... Requires 2+ years of experience with Informatica PowerCenter, Autosys, SQL DB Visualizer, Cloud ...

Mondo

Business Systems Analyst

Owings Mills, MD · On-site

$35 - $40/hr

Create and execute SQL, Oracle, and PL/SQL queries for data analysis * Participate in all phases of the project lifecycle, from requirements through testing * Analyze complex business processes and ...

Mondo

Business Systems Analyst

Owings Mills, MD · Hybrid

$35 - $40/hr

Create and execute SQL, Oracle, and PL/SQL queries for data analysis * Participate in all phases of the project lifecycle, from requirements through testing * Analyze complex business processes and ...

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How much do business analyst sql r python jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for business analyst sql r python in Baltimore, MD is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $58.99 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

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

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Data Scientist 2

Data Scientist 2

Altamira Technologies Corp.

Annapolis Junction, MD

Full-time

Re-posted yesterday

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. Looking for Data Scientists to join our team. In this role you will get to support key activities in defense of emerging threats in the cybersecurity domain. You will work directly with our software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks. 
 
TS/SCI/FS Poly clearance only is required for this position.
  
Qualifications:
  • Must have a bachelor’s degree (BS) in a quotative discipline (e.g. statistics, mathematics, operations research, engineering or computer science) from an accredited college/university.
  • Minimum of five (5) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (i.e. R, Python, SAS, MATLAB).
  •  Independently creating mission specific and tailored tradecraft automated solutions; perform data scientist functions that directly align/integrate into the architecture.
  • Implementing best practices in knowledge management, and/or creating automated solutions. Experience with Python, Jupyter Notebooks, ElasticSearch/Kibana, SQL database
  • Develop statistical and graph-based algorithms to analyze and make sense of data sets.
  • Clean and structure disparate data received from a globally dispersed customer base.
  • Provide insight into dataset structures and produce data visualizations that are consumable by both technical an non-technical audiences.
  • Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical and machine learning techniques to create descriptive and predictive analytics.
 
 
Required Skills:
 
  • Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience. 
  • Seven plus (7+) years’ experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). 
  • Experience with Windows server management and Power BI Report Service. 
  • Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch. Experience with Java is also a plus. 
  • Background working with analyst teams including conducting data analysis and creating data visualizations. Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required. 
  • Experience working within a cybersecurity mission environment using tools and capabilities to generate threat intelligence. This includes working with cybersecurity analyst teams to perform data analysis and a deep understanding of adversary tradecraft. 
  • U.S. Citizenship 
  • Active TS/SCI security clearance with polygraph 
 
Education and Experience:
 
  • Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience. 
  • Seven plus (7+) years’ experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). Â