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Business Analyst Sql R Python Jobs in Hampton, VA

Chartway

Business Analyst II

Virginia Beach, VA · On-site

Business Analyst II All of us at Chartway stand united in our strong culture of listening and ... Develops and maintains action-based reporting and dashboards using Power BI and coding in SQL ...

Tekcel8

Business Analyst

Virginia Beach, VA · On-site

Knowledge of SQL for basic data analysis and reporting. * Experience with reporting and dashboard tools such as Power BI or Tableau. * Understanding of business process modeling and workflow ...

TUV USA

Business Analyst

Virginia Beach, VA · On-site

Business Analyst Location: [Insert Location] Company: [Insert Company Name] Job Type: [Full-time ... Proficiency in data analysis tools (e.g., Excel, SQL) and visualization software (e.g., Tableau ...

Capital Strategies, LLC

Business Analyst

Norfolk, VA · On-site

$50K - $74K/yr

The Business Analyst is also responsible for generating and compiling reports based on the findings ... Ability to write basic SQL queries to analyze large datasets. * Ability to work independently.

Capital Strategies, LLC

Business Analyst

Norfolk, VA · On-site

$50K - $74K/yr

The Business Analyst is also responsible for generating and compiling reports based on the findings ... Ability to write basic SQL queries to analyze large datasets. * Ability to work independently.

Cape Fox SS

Database Business Analyst

Portsmouth, VA

$112K - $127K/yr

... SQL and database query development Experience supporting DoD or Navy programs Familiarity with ... business analysis, or data management Experience with data analysis and reporting tools Highly ...

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

As of Jul 4, 2026, the average hourly pay for business analyst sql r python in Hampton, VA is $45.84, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $57.40 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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Business Analyst II

Business Analyst II

Chartway Federal Credit Union

Virginia Beach, VA • On-site

Other

Posted 19 days ago

Job description

Business Analyst - II
Job Description:
The Business Analyst will apply analytical skills to business challenges across Chartway. This position will work in a collaborative environment on a horizontal team supporting several business units who will value the insights and recommendations you will bring. This position will problem-solve through data while thoughtfully incorporating product dynamics, marketing influences, and wide range of member impact into recommended solutions. Using rigorous analytical techniques, be able to extract and interpret complex data elements and in a refined manner communicate to inform and influence leaders across Chartway.
Responsible and Accountable for:
Develops and maintains action-based reporting and dashboards using Power BI and coding in SQL, writing and optimizing SQL queries delivering monthly metrics to identify trends and opportunities.
Collaborates with cross-functional teams, including Data Engineering, Application Technology, and business line managers, to support data-driven initiatives and ensure the accuracy and validity of data.
Supports business initiatives by providing analytical insights, makes recommendations and clearly communicates findings through custom-coded SQL queries, Power BI visuals, and DAX expressions.
Works closely with various teams on projects to obtain necessary data, and track performance.
Translate complex data into clear, actionable recommendations that align with the organization's goals and objectives, leveraging DAX measures and SQL code where appropriate.
Translate complex data into clear, actionable recommendations that align with the organization's goals and objectives, leveraging DAX measures and SQL code where appropriate.
Gather, clean, and integrate data from multiple sources (data warehouse, spreadsheets, etc.) to create centralized, accurate, and accessible reporting.
Transform strategic and operational inquiries into actionable analytics requirements, extract and analyze data using SQL, and present insights in a clear, compelling narrative to inform decision-making and drive action.
Personally develop and maintain advanced performance reports, dashboards, and visualizations using Power BI, incorporating drill-through features, bookmarks, tooltips, and parameterized filters.
Develop and code SQL queries and DAX expressions to create custom reports aligned with the specific needs of our various business lines.
Participate in thorough SQL code review to ensure best practices, optimize query performance, and maintain data integrity.

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