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

Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis tools. * Ability to work independently, manage multiple priorities, and learn new technologies with ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

Write SQL for data extraction, transformation, and reporting across Covenir's systems * Build and maintain executive-facing analytics and KPI dashboards - volumes, postage, and SLA performance by ...

DATA ANALYST

Worcester, MA · On-site

$71K - $93K/yr

... SQL-based data sources, and other reporting tools. * Collect, analyze, and submit department ... statistical data to local, state, and federal agencies while ensuring compliance with reporting ...

Data Analyst, Customer Data Platform ( Hybrid to Waltham, Ma ) * The US Customer Data Office is ... Proficient in SQL data querying and data exploration * Proficient in exploring data sources and ...

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

Senior Data Analyst

Waltham, MA

$92K - $117K/yr

Expert-level SQL and strong Product Analytics (GA4, Amplitude , or similar ) and A/B testing ... Proficiency with Python and dashboarding tools (e.g., Tableau , Power BI , or similar) is ...

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

Expert-level SQL and strong Product Analytics (GA4, Amplitude , or similar ) and A/B testing ... Proficiency with Python and dashboarding tools (e.g., Tableau , Power BI , or similar) is ...

Data Analyst

Hopedale, MA · On-site

$60K - $69K/yr

Experience writing SQL queries to extract and analyze data. * Experience with Power BI, Tableau, or similar business intelligence platforms. * Strong analytical and problem-solving skills.

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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 Aug 4, 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.

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 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:

Principal IT Data Analyst

Fidelity Investments

Smithfield, RI • On-site

$115K - $166K/yr

Full-time

Posted 21 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Develops and maintains curated data repositories for an enterprise analytics platform. Analyzes complex datasets from several sources (demographics and investments) using SQL, Python, and front-end analytics (Tableau). Writes and updates design documentation using Confluence. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
Primary Responsibilities:
  • Recommends design changes to complex, interrelated systems designed to meet complicated requirements, improve performance, or reduce costs of ownership.
  • Designs new systems based on requirements gathered during the requirements analysis phase.
  • Mentors other analysts in the documentation of large and complex projects.
  • Monitors the quality and progress of documents.
  • Documents formal specifications describing solutions to meet requirements.
  • Analyzes data held within transactional, warehouse, and data lakes, and communicates findings to senior management.
  • Analyzes information processing and computation needs.
  • Plans and designs computer systems using structured analysis, data modeling, and information engineering.
  • Develops, documents, and revises system design procedures, test procedures, and quality standards.
  • Consults with management to ensure agreement on system principles.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") translating business requirements into data driven solutions (to create conceptual, logical and physical models) using SAP Power Designer; supporting unstructured and semi structured data storage design patterns using AWS-S3, Kafka, and Snowflake; parsing out attributes from data to identify patterns, using SQL, KSQL, or PL/SQL; and analyzing, evaluating, and creating data objects based on relational or dimensional data models in Oracle, Snowflake, MySQL, and PostgreSQL.
  • DE developing data profiling frameworks using SQL and Python; performing end-to-end data analysis and sourcing (to target data mapping) using Oracle, Snowflake, and ICEDQ; and establishing governance and dictionary data practices using Alation and Collibra.
  • DE designing and implementing data movement processes for data warehouses or datalakes by developing mappings and extract, transform, load (ETL) workflows, using Informatica, Apache Nifi, or Control-M; deploying code changes using Github or Jenkins; performing application testing to write stored procedure using PL/SQL and Python adhering to coding standards; and optimizing SQL queries and batch processes using Oracle, Snowflake, NiFi, and DBT.
  • DE performing data wrangling using Python, R, Alteryx, and Jupyter Notebook; performing data visualization using BI tools (PowerBI, tableau, and Excel); developing Machine Learning (ML) models using Artificial Intelligent (AI)/ML algorithm (decision tree model, k-Nearest Neighbors (KNN) model, Binary tree model, and Linear and Logistic regression data model) and Python and R to evaluate external and internal risk scores; and performing story creation, backlog refinement, and sprint planning according to Agile methodologies (Jira), within a financial services compliance environment.

Salary: $115,775.00 to $166,000.00/year.
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Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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