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

Data Analyst - Pharma Location: Titusville, NJ (Onsite) Duration: 12 Months Position Overview: We ... Strong hands-on experience with SQL, PL/SQL, Oracle, PostgreSQL, MySQL, and Python. * Experience ...

Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI, Databricks. Experience with AI tools (e.g. Copilot, Claude, ChatGPT, Gemini) to conduct analysis a plus * Collaboration: Strong ...

Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI, Databricks. Experience with AI tools (e.g. Copilot, Claude, ChatGPT, Gemini) to conduct analysis a plus * Collaboration: Strong ...

Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ... Demonstrated ability to analyze, interpret and present data * Ability to make decisions and solve ...

Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ... Demonstrated ability to analyze, interpret and present data * Ability to make decisions and solve ...

Senior Data Analyst

Stamford, CT · On-site +1

$100K - $120K/yr

Job Title: Senior Data Analyst Location: Remote Reports To: SVP, Data and Technology Who We Are ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

Senior Data Analyst

Stamford, CT · Remote

$100K - $120K/yr

Job Title: Senior Data Analyst Location: Remote Reports To: SVP, Data and Technology Who We Are ... Proficiency in SQL and experience querying relational databases; familiarity with dbt and Python is ...

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Data Analyst

Greenwich, CT · Remote

$22 - $23/hr

... Utilize SQL to audit groups and build files to accelerate member enrollment and account changes ... Ability to support others, helping a team be successful. • Experience analyzing data, generating ...

SQL (Structured Query Language) for data extraction, analysis, and reporting. * AWS (Amazon Web Services), SAS, or other statistical/data mining tools for analytical development and data processing.

New

SQL (Structured Query Language) for data extraction, analysis, and reporting. * AWS (Amazon Web Services), SAS, or other statistical/data mining tools for analytical development and data processing.

New

- Data Warehouse Analyst (SQL, Informatica) Location: Uncasville, CT (Hybrid) Job Type: Full-Time ... Knowledge of Python or Shell scripting. * Experience in regulated industries such as Healthcare, ...

Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical thinking and a demonstrated interest in solving complex problems * Excellent written and verbal ...

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Data Analyst Python Sql information

See Mahopac, NY salary details

$34.9K

$84.9K

$139.7K

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

As of Jul 26, 2026, the average yearly pay for data analyst python sql in Mahopac, NY is $84,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $99,600.00 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 cities near Mahopac, NY are hiring for Data Analyst Python Sql jobs? Cities near Mahopac, NY with the most Data Analyst Python Sql job openings:
Data Analyst - Pharma

Data Analyst - Pharma

Aptino

Poughkeepsie, NY • On-site

Other

Posted 4 days ago


Job description

Role: Data Analyst – Pharma

Location: Titusville, NJ (Onsite)
Duration: 12 Months

<>Position Overview:

We are seeking a detail-oriented Data Analyst with experience in the pharmaceutical, biotechnology, or life sciences industry to support data-driven initiatives across clinical, commercial, and research operations. The ideal candidate will have strong analytical and database skills, experience working with regulated datasets, and the ability to transform complex data into actionable business insights.

<>Key Responsibilities:

  • Collect, validate, analyze, and interpret large volumes of clinical, commercial, and scientific data using statistical methods and programming tools.
  • Design and enhance data collection, reporting, and analytical processes to improve operational efficiency and data quality.
  • Develop, maintain, and optimize databases and reporting environments while ensuring data accuracy and consistency.
  • Partner with business users and cross-functional teams to identify, investigate, and resolve data discrepancies within regulated environments.
  • Perform data quality checks, validation, cleansing, and integrity assessments for imported and existing datasets.
  • Manage the lifecycle of business datasets, including creation, maintenance, archival, and retirement activities.
  • Prepare dashboards, reports, and analytical summaries to support strategic and operational decision-making.
  • Support enterprise data warehouse initiatives, metadata management, and data governance activities.
  • Assist with testing, implementation, and validation of new reporting tools, software enhancements, and analytics platforms.
  • Troubleshoot reporting issues, evaluate source system changes, and ensure seamless integration with downstream reporting processes.
  • Provide technical guidance on data modeling, storage, mining, and transformation techniques.
  • Deliver user training and documentation for reporting tools and dashboards while promoting best practices in data management.

<>Required Qualifications:

  • Bachelor''''s degree in Computer Science, Information Systems, Data Analytics, Life Sciences, or a related field.
  • Experience working with pharmaceutical, biotechnology, healthcare, or life sciences datasets.
  • Strong analytical, problem-solving, and data interpretation skills with exceptional attention to detail.
  • Ability to analyze structured and complex datasets and deliver meaningful business insights.
  • Excellent organizational, communication, and stakeholder collaboration skills.
  • Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

<>Preferred Skills:

  • 2+ years of experience in data analysis, business intelligence, data science, or data warehousing.
  • Strong hands-on experience with SQL, PL/SQL, Oracle, PostgreSQL, MySQL, and Python.
  • Experience developing reports and dashboards using Power BI, Qlik, SQL Developer, or Visual Studio.
  • Knowledge of Entity-Relationship (ER) modeling and relational database design.
  • Familiarity with structured, semi-structured, and unstructured healthcare or pharmaceutical data, including clinical records, safety data, commercial datasets, and research information.
  • Understanding of data governance, normalization, compliance, and quality assurance practices within regulated environments.