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Data Analyst Python Sql Jobs in Acworth, GA (NOW HIRING)

Prabhav Services Inc

Data Analyst

Atlanta, GA · On-site

This role requires strong experience in banking data analysis, advanced SQL, regulatory reporting, and data warehouse environments. The successful candidate will collaborate with Regulatory Reporting ...

Reserv, Inc.

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python, SQL, and Excel skills. You should be curious about how claims work and how our systems process them. You'll also need the ability to ...

Apex Informatics

Data Analyst

Atlanta, GA · On-site

Extract primary data from Oracle Database with the use of SQL * Interpret data, analyze results using statistical techniques and provide ongoing reports * Provide timely and accurate data to fulfill ...

Lorven Technologies

Data Analyst

Atlanta, GA · On-site

Proficiency in SQL for querying and analyzing data across relational databases. * Understanding of data structures, relational models, and metadata. * Ability to work with large datasets and perform ...

Spruce Infotech

Data Analyst/Eng

Alpharetta, GA · On-site

Strong experience in Teradata for data warehousing and SQL-based analysis. * Hands-on experience with Big Data technologies such as Hadoop . * Good understanding of financial data, metrics, and ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

AirLife

Data Analyst - Commercial

Alpharetta, GA · On-site

Experience with SQL, Python, R or other programming tools. * Experience with project management ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

$32.16 - $39.95/hr

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Reserv, Inc.

Sr. Data Analyst - Data Model

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to communicate with technical and non ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

FEDRUS GLOBAL LLC

Reporting Data Analyst

Alpharetta, GA · On-site

... SQL skills and experience with enterprise data warehouses Understanding of dimensional modeling and enterprise reporting concepts Must-Have Skills ✓ 8+ years as a hands-on IT Reporting Data Analyst ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

Emory Inc.

CDCE Data Analyst

Atlanta, GA

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

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Data Analyst Python Sql information

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$30.4K

$73.8K

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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 Acworth, GA is $73,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,600.00 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 Acworth, GA look for? The top searched job categories for Data Analyst Python Sql jobs in Acworth, GA are:
What cities near Acworth, GA are hiring for Data Analyst Python Sql jobs? Cities near Acworth, GA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Data Analyst

Data Analyst

Prabhav Services Inc

Atlanta, GA • On-site

Other

Posted 21 days ago

Job description

Only W2 profiles
Location: Atlanta, GA (Onsite)

Position Overview

We are seeking a highly skilled Data Analyst with expertise in Axiom Regulatory Reporting to support a leading banking client. The ideal candidate will be responsible for analyzing, sourcing, profiling, validating, and reconciling data used in U.S. banking regulatory reports, including Call Reports (FFIEC 031/041), FR Y-9C, FR Y-14, and other regulatory submissions.

This role requires strong experience in banking data analysis, advanced SQL, regulatory reporting, and data warehouse environments. The successful candidate will collaborate with Regulatory Reporting, Finance, Risk, Compliance, Business, and Technology teams to ensure accurate, timely, and compliant regulatory reporting.

Key Responsibilities
  • Analyze business and regulatory reporting requirements for reports such as Call Reports (FFIEC 031/041), FR Y-9C, FR Y-14, and other U.S. banking regulatory filings.
  • Identify and document data sourcing requirements, business rules, transformations, and reporting logic required for regulatory reporting solutions.
  • Perform detailed analysis of banking source systems to understand data structures, relationships, and reporting dependencies.
  • Utilize Oracle SQL extensively for data extraction, profiling, validation, reconciliation, and investigation of data quality issues.
  • Develop and maintain source-to-target mapping documents, data lineage, business rules, and technical documentation.
  • Conduct comprehensive data profiling to assess data quality, completeness, consistency, and integrity.
  • Collaborate with Regulatory Reporting, Finance, Risk, Compliance, Business, and Technology teams to gather, analyze, and validate business requirements.
  • Translate business and regulatory requirements into functional specifications, mapping documents, and data sourcing requirements.
  • Investigate and resolve data discrepancies, reconciliation breaks, and reporting issues through root cause analysis.
  • Perform impact analysis for source system changes, regulatory updates, and business rule modifications to ensure downstream reporting accuracy.
  • Support System Integration Testing (SIT), User Acceptance Testing (UAT), production validation, and monthly release activities.
  • Ensure compliance with regulatory, audit, and data governance standards by maintaining complete documentation and supporting regulatory examinations.
Required Qualifications
  • Strong experience as a Data Analyst within the Banking or Financial Services industry.
  • Hands-on experience with Axiom Data Sourcing and Axiom Regulatory Reporting.
  • Experience supporting U.S. banking regulatory reports, including:
    • Call Report (FFIEC 031/041)
    • FR Y-9C
    • FR Y-14
    • Other regulatory reporting submissions
  • Advanced proficiency in Oracle SQL for:
    • Data analysis
    • Data profiling
    • Data validation
    • Data reconciliation
    • Data quality assessment
    • Root cause investigation
  • Strong understanding of Data Warehouse concepts, data modeling, and regulatory reporting environments.
  • Experience creating and maintaining:
    • Source-to-Target Mapping
    • Data Lineage
    • Data Definitions
    • Business Rules Documentation
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and stakeholder management abilities with experience working across business and technology teams.
Preferred Experience
  • Strong knowledge of banking data domains, including:
    • Loans
    • Deposits
    • Customer Data
    • General Ledger
    • Treasury
    • Risk
    • Financial Reporting
  • Experience with regulatory reporting control frameworks and reconciliation processes.
  • Knowledge of data governance, audit controls, and regulatory compliance requirements.
  • Experience supporting enterprise Data Warehouse and Regulatory Reporting platforms.
  • Familiarity with Agile project methodologies and SDLC processes.
Key Skills
  • Axiom Data Sourcing
  • Axiom Regulatory Reporting
  • Banking Regulatory Reporting
  • Oracle SQL
  • Data Analysis
  • Data Profiling
  • Data Validation
  • Data Reconciliation
  • Data Lineage
  • Data Governance
  • Source-to-Target Mapping
  • Data Warehouse Concepts
  • Requirements Gathering & Analysis
  • Root Cause Analysis
  • Impact Analysis
  • Regulatory Compliance
  • Stakeholder Management
  • Documentation
  • Banking & Financial Services Domain

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