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

Analyst, Growth

Augusta, GA ยท On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning ...

Senior Software Developer

Augusta, GA ยท On-site

$51.25 - $67.75/hr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Experience with C++ or C#, C and Python * Knowledge of Linux environments, including Linux ...

Senior Software Developer

Augusta, GA

$51.25 - $67.75/hr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Experience with C++ or C#, C and Python * Knowledge of Linux environments, including Linux ...

Power BI Intern

Augusta, GA ยท On-site

$15/hr

... Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL.

... analysis to stakeholders of varying data knowledge levels. โ€ข Proficient in various query languages (SQL, KQL (Kusto)). โ€ข Python experience, and bonus for experience using Jupyter notebooks. โ€ข ...

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Data Analyst Python Sql information

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$28.9K

$70.3K

$115.8K

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

As of Jul 15, 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:
Geospatial Analyst -- Senior and Expert with Security Clearance

Geospatial Analyst -- Senior and Expert with Security Clearance

Altamira Technologies Corporation

Augusta, GA โ€ข On-site

$69K - $91K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Geospatial Analyst โ€” Senior and Expert Altamira Technologies Corporation has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities by creating innovative solutions that leverage common standards in architecture, data, and security. Altamira believes that our people and company culture differentiate us from other companies. We are seeking Senior and Expert Geospatial Analysts to support GEOINT analysis, production, reporting, and mission support. These roles perform analysis of U.S. Government and commercial GEOINT assets and maintain expertise across GEOINT tradecraft, including Synthetic Aperture Radar, Electro-Optical, Moving Target Indicator, LiDAR, Overhead Persistent Infrared, Geospatial Information and Services, Wide Area Persistent Surveillance, geospatial data processing, analysis and modeling, and general intelligence analysis. Senior Geospatial Analyst The Senior Geospatial Analyst will use geographic information systems, methods, tools, and supporting databases to answer critical intelligence questions. The analyst will maintain proficiency with GEOINT tools and data sources, perform specialized scientific and technical data processing, support exploitation workflows, and provide training when required by the Government.
The Senior Geospatial Analyst will follow GEOINT-related technical publications, policies, and directives at the national, theater, and local levels. The analyst will capture analytical findings in textual, graphic, vector, or other formats and ensure GEOINT reporting meets national, theater, and local requirements for content, accuracy, formatting, classification, and timeliness. Expert Geospatial Analyst The Expert Geospatial Analyst will perform advanced GEOINT analysis and maintain expert-level knowledge of U.S. Government and commercial GEOINT assets, associated tradecraft, and supporting tools. The analyst will use GIS methods and technologies to answer complex intelligence questions, support specialized data processing, and contribute to exploitation and reporting workflows.
The Expert Geospatial Analyst will maintain familiarity with applicable classification guides, security policies, and Intelligence Community Directives. The analyst will remain current on geopolitical events, supported Combatant Command priorities, theater-specific issues, and customer intelligence requirements to provide informed, timely, and actionable GEOINT support. Required Education and Experience Senior Geospatial Analyst * MA/MS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 5 years of relevant experience; or
* BA/BS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 10 years of relevant experience; or
* High school diploma/GED with training in a DoD Geospatial Information Services career field or military occupational specialty and at least 15 years of Intelligence Analysis experience. Expert Geospatial Analyst * MA/MS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 10 years of relevant experience; or
* BA/BS degree in a technical field such as Geomatics, Geospatial Sciences, GIS, or a related field and at least 15 years of relevant experience. Required Qualifications * Expert knowledge of industry-standard location analysis desktop and server applications, such as Esri ArcGIS Platform, QGIS, MapBox, GeoServer, or similar tools.
* Experience using and managing spatial relational databases, including Oracle, MSSQL, PostgreSQL/PostGIS, or similar databases.
* Extensive experience with geographically derived assessments, enterprise data integration, spatial data governance, metadata management, and interpretation of business and performance metrics.
* Expert ability to present geospatial information through multimedia presentations and written reports.
* Experience coordinating and collaborating with industry counterparts on technical projects, software and service assessments, and related subject matter.
* Familiarity with DoD/NSG Structured Observation Management and object-based production.
* Current/active TS/SCI clearance. For Expert-level candidates, additional required qualifications include: * College degree in Geospatial Information and Services, Geomatics, Geospatial Sciences, or a closely related field.
* Current/active TS/SCI security clearance with Single Scope Background Investigation.
* Demonstrated experience using geospatial Python, R, SAS, Java, or other coding languages to deliver custom geoprocessing and analytical workflows. Desired Qualifications * Experience with Intelligence Community and DoD geospatial data and repositories.
* Experience working within common project management frameworks.
* Demonstrated knowledge and experience in cartography, GIS, and spatial modeling.
* Experience using Python, R, SAS, Java, or other coding languages with spatial data to deliver custom solutions.
* Familiarity with Army, DoD, or Intelligence Community geospatial processes, policies, and programs.
* Private-sector GIS certification, such as GISP or Esri Professional certification.
* Government GEOINT certification, such as a GPC-series certification.
* Knowledge of Microsoft Office tools and graphic design principles. Altamira is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.