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Business Analyst Sql R Python Jobs in Lancaster, PA

JPC Partners

ERP Systems Analyst

Reading, PA

... SQL, and other similar technologies. The Systems Analyst will take a lead role in assisting the ... to drive business value. RESPONSIBILITIES * Analyzes existing systems, identify areas for ...

JPC Partners

ERP Systems Analyst

Sinking Spring, PA · On-site

... SQL, and other similar technologies. The Systems Analyst will take a lead role in assisting the ... to drive business value. RESPONSIBILITIES * Analyzes existing systems, identify areas for ...

Penske

Data Scientist

Reading, PA

This role requires strong business judgment, technical analytical skills, and the ability to ... Practical experience programming using Python, R or other high level scripting languages is ...

Penske

Data Scientist

Reading, PA · On-site

This role requires strong business judgment, technical analytical skills, and the ability to ... Python, R or other high level scripting languages is required. Demonstrated experience with one or ...

Kinsley Construction

Application Support Analyst

York, PA · On-site

... business applications. * Support the Application Development team on Crystal Reports, Power BI, SQL ... Interest in growing into a Application/Data Analyst career path. HOW TO APPLY If you are interested ...

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

As of Jun 27, 2026, the average hourly pay for business analyst sql r python in Lancaster, PA is $46.10, according to ZipRecruiter salary data. Most workers in this role earn between $34.57 and $57.69 per hour, depending on experience, location, and employer.

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.

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.
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Business Analyst Sql R Python jobs near you
Data Analytics Consultant

Data Analytics Consultant

Weidenhammer Systems Corp.

PA • On-site, Remote

Full-time

Posted 15 days ago

Job description

At Weidenhammer the Data Analytics Consultant role is engaged in architecture, consulting and development of Data Engineering and Business Intelligence solutions related to client projects. This role will also participate in activities that are directed at the overall growth of the Analytics and Data Estate Practice within Hammer Dev. This is a client facing role requiring excellent relationship management, communication, and solution architecture / development skills.
Essential Functions and Responsibilities
• Support solution decision-making as a trusted technical advisor.
• Design, implement, and deploy data platforms in public and private cloud environments.
• Guide clients on data strategy, governance, architecture, and quality management.
• Conduct customer workshops, discovery sessions, and presentations.
• Educate clients on modern technologies and their business value.
• Define processes and tools for data acquisition, storage, transformation, and analysis.
• Communicate solution and technology options and their business impact.
• Develop roadmaps and implementation strategies for data initiatives.
• Review and audit existing solutions and create architecture documentation.
• Discuss solutions with stakeholders from C-level to engineering teams.
• Function in various roles throughout the project lifecycle.
Assist in pre-sales activities and client presentations
Requirements
• Excellent analytical, verbal, written, and communication skills.
• Ability to communicate professionally with senior leadership in the role of project leader.
• Contribute to an engaging work environment.
• Provide technical expertise in business analytics, data integration, and visualization.
• Specialist knowledge in major relational and NoSQL-type data platforms.
• Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence.
• Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT.
• Ability to identify company requirements for data insights and warehousing.
• Comfortable working with various corporate stakeholders.
• Expert in architecting Data Lakes and modern data concepts.
• Experience with Row-Level Security.
• Experience leveraging Python and GenAI for development.
Nice to Have:
• Experience with big data technologies, Data Bricks, and Snowflake.
• Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts.
• Experience with Star & Snowflake.
• Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics
Required Education and Experience
• B.S./M.S. in Computer Science, Software Engineering, or related discipline.
• Proven ability to develop and implement high-quality software solutions.
• Minimum 5 years of Microsoft data reporting, analytics, visualization, and integration experience.
• Minimum 5 years of data solution development experience.
• Vast knowledge of Microsoft technology stacks, including Azure and M365.
• At least one active Microsoft Fabric certification.

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