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Data Analyst Python Sql Jobs in North Carolina (NOW HIRING)

Sr Data Analyst

Raleigh, NC · Hybrid

$83K - $105K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement ...

... Analytics Specialist , someone with SQL experience, ideally in cloud data environments such as ... Scripting abilities, especially in SQL, with at least a basic level of Python or R. * Capacity to ...

Review and analyze complex multi-faceted larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.

SQL, DAX, and scripting (Python preferred) Data modeling (star schema, relationships, performance ... analytics (prompting, APIs, automation) Technical Skill (preferred) Microsoft Fabric platform ...

SQL, DAX, and scripting (Python preferred) • Data modeling (star schema, relationships ... in analytics (prompting, APIs, automation) Technical Skill (preferred) • Microsoft Fabric ...

SQL, DAX, and scripting (Python preferred) • Data modeling (star schema, relationships ... in analytics (prompting, APIs, automation) Technical Skill (preferred) • Microsoft Fabric ...

This role develops and supports SQL Server Reporting Services (SSRS) reports, Power BI reports and dashboards, data views, and the SQL queries and stored procedures that power them. The Data Analyst ...

SQL, DAX, and scripting (Python preferred) • Data modeling (star schema, relationships ... in analytics (prompting, APIs, automation) Technical Skill (preferred) • Microsoft Fabric ...

Strong proficiency in SQL for querying, data extraction and performance optimization. * Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with ...

Strong proficiency in SQL for querying, data extraction and performance optimization. * Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst

Camp Lejeune, NC · On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Data Analyst

Camp Lejeune, NC · On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Showing results 21-40

Data Analyst Python Sql information

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 is a data analyst Python SQL?

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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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 job categories do people searching Data Analyst Python Sql jobs in North Carolina look for? The top searched job categories for Data Analyst Python Sql jobs in North Carolina are:
What cities in North Carolina are hiring for Data Analyst Python Sql jobs? Cities in North Carolina with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr Data Analyst

Dlapiper

Raleigh, NC • Hybrid

$83K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading analytics projects, advancing the firm's data innovation efforts, and applying advanced analytical techniques to support strategic decision-making. This role requires strong analytical and technical skills, financial acumen, and a passion for leveraging data to drive business outcomes.

The Sr Data Analyst uses tools such as Power Desktop/Power BI Report Builder (SSRS) to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This individual leads large-scale analytical initiatives, mentors' junior analysts, and collaborates with stakeholders to prioritize business needs and deliver actionable insights.

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement, contributing to the firm's data strategy, and ensuring timely, accurate deliverables. Working closely with functional leads across the firm, this position conducts research, analyzes and presents data to identify trends, forecast outcomes, and support informed decision-making related to financial performance. Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, reporting, forecasting, developing and implementing data collection techniques to optimize statistical efficiency.


Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.
Responsibilities

  • Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting and insight-driven solutions.

  • Collaborate with FP&A, Service Delivery, Senior Finance leadership and other key stakeholders to identify and prioritize complex business problems.

  • Implement best practices and innovative solutions to enhance data integrity.

  • Drive and manage large-scale analytical projects that span multiple teams and functions.

  • Coordinate cross-functional efforts to ensure project alignment with business objectives and successful execution.

  • Analyze trends and derive actionable insights to address complex business challenges.

  • Design and develop advanced solutions to streamline processes, improve data quality, and drive intelligent automation.

  • Champion continuous improvement initiatives to enhance operational efficiency and effectiveness.

  • Engage with stakeholders at all levels to understand their needs and provide tailored data solutions.

  • Strong communication and financial storytelling skills with both technical and non-technical stakeholders.

Desired Skills

Strong analytical and problem-solving skills, with the ability to interpret large complex datasets, identify trends and provide actionable data-driven insights. Highly proficient in data visualization tools (PowerBI Report Builder/SSRS or Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in Microsoft office, with advanced skills in Excel, including complex formulas, pivots tables, data analysis, VBA, and data visualization techniques. Experience with advanced statistical methods and data modeling techniques. Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming languages.

Demonstrated experience in creation of complex queries, data manipulation, and automation of data processes. Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills and the ability to adapt to changing business needs. Ability to work independently and as part of a team. Attention to detail and high level of accuracy in work.
Minimum Education

  • Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field.

Minimum Years of Experience

  • 4 years' experience in a experience as a Data Analyst or similar role including experience with data modeling, statistical analysis and processes.


Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

  • Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.

  • Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.

  • Meet deadlines, manage competing priorities, and commit to meeting high standards.

  • Comply with firm policies and procedures.

  • Maintain confidences as required in a law firm environment.

Physical Demands

Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Interested candidates must apply directly online. Application materials sent via email will not be accepted.

Accommodation

Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.
The firm's expected hiring range for this position is $89,991 - $143,088 per year depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits, including medical/dental/vision insurance, and 401(k).
Applicants who are not based in thejurisdictionin which this position is posted and who apply for this role are doing so voluntarily and are not eligible for relocationassistance. Anyrelocationbenefits, if any, are provided only where a relocation isrequiredat the firm's direction andin accordance withapplicable policy and law.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.