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Data Analyst Python Sql Jobs in Worcester, MA (NOW HIRING)

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools. * Experience ...

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools. * Experience ...

Systems/Data Analyst

Smithfield, RI · On-site

$55 - $60/hr

Nice-To-Have* - Snowflake, AWS, Python, Swagger, X-ray test case management in Jira. The Expertise ... SQL. - Swagger experience preferred. - Experience in Snowflake data warehousing and analytics ...

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Strong working knowledge of SQL for complex data extraction, transformation, and manipulation. * Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

Sr Data Analyst/Data Analyst

Sudbury, MA · On-site

$74K - $112K/yr

Strong working knowledge of SQL for complex data extraction, transformation, and manipulation. * Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

The ideal candidate will have strong SQL and data analysis skills, experience working with data exchange processes, and knowledge of Defined Benefits administration. Key Responsibilities • Support ...

The ideal candidate will have experience in data analysis, data exchange processes, SQL, and Defined Benefits administration. Key Responsibilities • Support client corporate action and data ...

Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG architectures) * Build integrated data ecosystems combining: * Structured clinical and operational data

Develop and maintain SQL queries for data extraction, validation, and analysis across relational databases. . Utilize data aggregation tools such as Alteryx to prepare, blend, and transform data for ...

Analyzing the client source data to identify issues, potential causes, and suggested remediation ... Solid experience with query languages such as SQL * Experience with ETL Tools (i.e. Informatica)

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Data Analyst Python Sql information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

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

As of Jul 10, 2026, the average yearly pay for data analyst python sql in Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 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 Worcester, MA look for? The top searched job categories for Data Analyst Python Sql jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data Analyst Python Sql jobs? Cities near Worcester, MA with the most Data Analyst Python Sql job openings:
Data Analyst

Other

Posted 16 days ago


Job description

Sr Data Analyst

Onsite

Perm

85-115k (some flex)

US cit /Perm residents

The Senior Data Analyst serves as a key analytical resource within the office of the COO, responsible for transforming complex data into strategic insights that drive business performance. This role leads the design, development, and maintenance of enterprise reporting, dashboards, and data models across sales, aftermarket services, and SIOP (Sales, Inventory & Operations Planning) functions. The Senior Data Analyst partners with cross-functional leadership to deliver data-driven recommendations that support revenue growth, operational efficiency, and continuous improvement initiatives.
Key Responsibilities:

  • Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems to support sales performance, aftermarket services, and SIOP planning cycles.
  • Design and maintain advanced dashboards and reports that track KPIs across new equipment sales, aftermarket parts and service revenue, and demand forecasting accuracy.
  • Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis, forecast variance reporting, and scenario modeling to support executive decision-making.
  • Develop and standardize aftermarket analytics, including service contract utilization, parts consumption trends, and customer lifecycle metrics.
  • Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement.
  • Ensure data integrity, governance, and consistency across all reporting platforms through rigorous validation, quality assurance, and documentation practices.
  • Collaborate with Sales, Operations, Finance, and Aftermarket leadership to translate business requirements into scalable, automated reporting solutions.
  • Lead ad hoc analytical projects and present findings and recommendations to senior management and executive stakeholders.

Required Qualifications & Skills:

  • Education: Bachelor''s degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience).
  • Experience: 3–7 years of progressive experience in data analysis, business intelligence, or analytics, preferably within a manufacturing, distribution, or industrial sales environment.

Technical Skills:

  • Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms.
  • Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.
  • Experience with Python, R, or similar analytical programming languages.
  • Familiarity with ERP/CRM systems (e.g., Infor CSI, Salesforce, ServiceNow, SAP, or similar) and SIOP/S&OP planning tools.

Soft Skills:

  • Demonstrated ability to synthesize complex data into clear, actionable insights for both technical and non-technical audiences.
  • Strong critical thinking, problem-solving, and strategic analysis capabilities.
  • Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Proven track record of cross-functional collaboration and stakeholder management.

Supervisory Responsibilities:

  • None (mentorship of junior analysts expected).

Travel Requirements:

Minimal; occasional travel to regional facilities may be required