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Data Analyst Python Sql Jobs in Aiken, SC (NOW HIRING)

Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis ...

Digital Analyst Internships

Augusta, GA · On-site

$77K - $91K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

SQL Tutor

Augusta, GA · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Proficiency in Python and/or R, with solid SQL skills for querying, transforming, and analyzing data required. * Experience with data visualization and reporting tools such as Power BI or similar ...

New

Proficiency in Python and/or R, with solid SQL skills for querying, transforming, and analyzing data required. * Experience with data visualization and reporting tools such as Power BI or similar ...

New

Data Analysis Tutor

Augusta, GA · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Senior Data Architect

Evans, GA · On-site

$57 - $76.25/hr

You'll collaborate closely with analysts, technologists, and leadership to design data models ... Extensive expertise in enterprise database environments, including Oracle, SQL Server, or MySQL ...

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Data Analyst Python Sql information

See Aiken, SC salary details

$28.9K

$70.3K

$115.8K

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

As of Jul 14, 2026, the average yearly pay for data analyst python sql in Aiken, SC is $70,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $82,600.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 Aiken, SC look for? The top searched job categories for Data Analyst Python Sql jobs in Aiken, SC are:
What cities near Aiken, SC are hiring for Data Analyst Python Sql jobs? Cities near Aiken, SC with the most Data Analyst Python Sql job openings:

Full-time

Posted 10 days ago


Job description

Role summary: As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis within a highly regulated engineering environment.

What you will be doing:

  • Developing clear, insightful, and visually engaging dashboards, reports, and data visualisations using Power BI to support informed decision-making.

  • Analysing and manipulating data using SQL and Python to identify trends, patterns, and actionable insights.

  • Supporting the definition and refinement of key performance indicators (KPIs) and metrics to track business and technical performance.

  • Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings.

  • Monitoring data quality, identifying anomalies, and implementing controls to maintain data accuracy, consistency, and integrity.

  • Providing training, guidance, and ongoing support to users of data platforms and analytics tools.

Formal qualifications or training:

  • We’d love to hear from you if you have hands-on experience in data analysis, manipulation, and visualisation. Strong experience using a Microsoft data technology stack (including Power BI and SQL) is essential, with working knowledge of Python for analysis and automation highly desirable.

Make a Difference with DBD:

At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations.

Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year, over the past two years, we continue to welcome new, talented individuals to our team.

We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it.

Join us to play a key role in shaping the nuclear sector's future.

Make a difference today with DBD.