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Data Analyst Python Sql Jobs in Albany, NY (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Albany, NY

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

FocusKPI

Marketing Operations Analyst

Albany, NY · On-site

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

Mindlance

SQL Developer

Albany, NY · On-site

... analysis, design, testing, implementation, maintenance • Follow and contribute to agency ... data extraction, using SQL against databases; write complex efficient SQL • Perform ongoing ...

Excelsior College

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

... SQL and TSQL) and Python or R data frame functions. * Strong understanding of relational database systems and data warehousing concepts. * Strong analytical, research, and critical thinking.

FirstLight

Carrier Voice Engineer

Albany, NY · On-site

$75K - $95K/yr

Experience with scripting, automation, data analysis, or reporting tools such as Python, SQL, Bash, PowerShell, REST APIs, Power BI, or Grafana. * Experience with relational or analytics databases ...

Excelsior Collage

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

... SQL and TSQL) and Python or R data frame functions. * Strong understanding of relational database systems and data warehousing concepts. * Strong analytical, research, and critical thinking.

Software People Inc.

SQL Developer:: Albany, NY

Albany, NY · On-site

$45 - $61.50/hr

... Server Analysis Services (SSAS); • Minimum 36 months experience with logical and physical data ... Qualifications Minimum of 80 months of report development experience using Microsoft SQL Server ...

Software People Inc.

SQL Developer:: Albany, NY

Albany, NY

$45 - $61.50/hr

Minimum of 12 months experience developing analytical cubes and multi-dimensional structures using SQL Server Analysis Services (SSAS); Minimum 36 months experience with logical and physical data ...

Farm Family

Sr P&C Data Scientist

Albany, NY · On-site

$102 - $152/hr

Work independently with large, structured and semi‐structured datasets using SQL and analytical programming languages (e.g., Python or R)* Establish and uphold high standards for data quality ...

New

Brookfield

Sr P&C Data Scientist

Albany, NY

Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R) * Establish and uphold high standards for data quality ...

Contact Government Services, LLC

Data Engineer

Albany, NY

$113K - $136K/yr

... Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Albany, NY

Data Analyst Python Sql information

See Albany, NY salary details

$33.8K

$82.1K

$135K

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

As of Aug 8, 2026, the average yearly pay for data analyst python sql in Albany, NY is $82,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Data Analyst Python Sql jobs in Albany, NY? For Data Analyst Python Sql jobs in Albany, NY, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Albany, NY look for? The top searched job categories for Data Analyst Python Sql jobs in Albany, NY are:
What cities near Albany, NY are hiring for Data Analyst Python Sql jobs? Cities near Albany, NY with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Albany, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,051 per year, or $39.4 per hour.

Data Engineer

New York State Technology Enterprise Corporation

Albany, NY • On-site

$113K - $136K/yr

Full-time

Posted 26 days ago

Job description

About Us:
NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset.
About the Role:
The Data Engineer designs, develops, and maintains NYSTEC's enterprise data platform and data integration solutions. This role builds scalable, secure, and high-performing data pipelines, data warehouses, lakehouses, and related data solutions that support reporting, analytics, artificial intelligence initiatives, and data-driven decision-making. The position works closely with the Business Intelligence team, internal technology teams, and business stakeholders to integrate data from multiple systems, improve data quality and governance, and support the continued maturity of NYSTEC's enterprise data platform.
Key Responsibilities
Design, develop, and maintain scalable enterprise data pipelines that support the organization's data integration, analytics, and business intelligence initiatives.
• Design, implement, and support enterprise data architecture, including data warehouses, lakehouses, and other analytical data repositories.
• Develop and maintain robust ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to ingest, transform, validate, and deliver data from multiple internal and external business systems.
• Design and implement logical and physical data models that promote consistency, scalability, and long-term maintainability.
• Develop, test, deploy, and maintain data engineering solutions that leverage SQL, Python, and PySpark to support enterprise data processing and automation.
• Integrate data from enterprise applications, APIs, relational databases, flat files, and third-party systems while ensuring data integrity and reliability.
• Implement and maintain enterprise data governance standards, including data quality, metadata management, lineage, security, and access controls.
• Monitor, troubleshoot, and optimize enterprise data pipelines, databases, and platform performance to ensure reliability, scalability, and operational efficiency.
• Collaborate with business stakeholders, application owners, and technical teams to translate business requirements into scalable data solutions.
• Develop and maintain technical documentation, including solution architecture, operational procedures, and development standards.
• Evaluate emerging technologies and recommend improvements that enhance the organization's enterprise data platform, data engineering practices, and overall data maturity.
• Partner with Business Intelligence team members to ensure enterprise data assets effectively support reporting, advanced analytics, artificial intelligence, and self-service data initiatives.
• Participate in platform planning, architecture reviews, and continuous improvement efforts to ensure the enterprise data platform remains secure, scalable, and aligned with organizational objectives.
About you:
Required Qualifications
• Experience developing enterprise data solutions using Microsoft Fabric. Candidates with
equivalent experience using Microsoft Azure Data Factory, Azure Data Lake Storage, Azure SQL, SQL Server Integration Services (SSIS), SQL Server, or related Microsoft data services in cloud or on-premises environments will also be considered.
• Advanced SQL development skills, including query optimization, database design, and
performance tuning.
• Strong proficiency in Python and/or PySpark for data engineering, automation, and data
transformation.
• Experience designing and developing ETL/ELT solutions and enterprise data integration
processes.
• Experience designing and supporting relational databases, data warehouses, lakehouses, and enterprise analytical data models.
• Experience integrating data from enterprise applications, APIs, relational databases, flat files, and cloud services.
• Strong understanding of enterprise data architecture, data modeling, data governance, metadata management, and security best practices.
• Experience implementing source control, testing, deployment, and operational support practices for enterprise data solutions.
• Excellent analytical, troubleshooting, organizational, and communication skills.
Preferred/Desired Qualifications
  • Experience supporting enterprise Business Intelligence, analytics, and AI initiatives through modern data engineering practices.
  • Experience implementing data governance, security, and performance optimization within Microsoft enterprise data platforms.
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), Azure Data Engineer Associate (DP-203), or similar Microsoft certification preferred.

Education and Experience
  • A bachelor's degree in computer science, information systems, data engineering, information technology or a related discipline and five years of related experience designing, developing and supporting enterprise platforms.
  • An equivalent combination of advanced education, training, and experience will be considered.

The target base salary for this position is $97,172.00 to $126,323.00 per year. When determining compensation, we analyze and carefully consider several factors, including skill set, experience, location, and job-related qualifications
It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact recruitment@nystec.com if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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