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Weekend Remote Data & Analytics Jobs in Springfield, MA

CVS Health

Data Engineer

Hartford, CT · On-site +1

$142K - $158K/yr

Machine, learning, statistical analysis, and predictive modeling;NLP (Scikit, SpaCity, Pytorch, or Spark NLP);Vertex-AI;PyData ecosystem;Writing Extract/Transform/Load (ETL) processes;Designing data ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

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Weekend Remote Data Analytics information

See Springfield, MA salary details

$24

$54

$94

How much do weekend remote data & analytics jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for weekend remote data & analytics in Springfield, MA is $54.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 per hour, depending on experience, location, and employer.

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and Excel. Many companies offer remote work options for data analysts, especially for roles involving data reporting, analysis, and dashboard creation, making it feasible to work remotely with the right technical skills and experience.

How to make 1000 a week remote?

A Weekend Remote Data & Analytics professional can earn $1,000 or more weekly by taking on multiple freelance or contract projects, leveraging skills in data analysis, visualization, and tools like Excel or SQL. Building a strong portfolio, gaining certifications, and consistently applying to high-paying remote opportunities can help achieve this income level.

How can I make 2000 a week working from home?

A Weekend Remote Data & Analytics professional can increase earnings by taking on multiple freelance or contract projects, leveraging skills in data analysis, visualization, and tools like Excel or SQL. Building a strong portfolio, gaining certifications, and efficiently managing time can help reach a weekly income of $2000, especially when working on high-paying projects or consulting roles during weekends.
What are popular job titles related to Weekend Remote Data & Analytics jobs in Springfield, MA? For Weekend Remote Data & Analytics jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Data & Analytics jobs in Springfield, MA look for? The top searched job categories for Weekend Remote Data & Analytics jobs in Springfield, MA are:
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Weekend Remote Data Analytics jobs near you
Data Engineer

Data Engineer

CVS Health

Hartford, CT • On-site, Remote

$142K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,274 frontline employees who took The Breakroom Quiz

80th of 103 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: Aetna Resources, LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field. Requires completion of a university-level course, research project, internship, or thesis in each of the following:CI/CD, Jenkins, GIT, or DevOps;Programming in Java, Python, and R;SAS or SQL programming languages;Agile methodologies or SAFe Software Development Principles;Spark, PySpark, and Scala;Hadoop architecture or HDFS commands;MySQL and NoSQL;Visualization tools: PowerBI and Tableau;Designing and optimizing queries to build data pipelines;Machine, learning, statistical analysis, and predictive modeling;NLP (Scikit, SpaCity, Pytorch, or Spark NLP);Vertex-AI;PyData ecosystem;Writing Extract/Transform/Load (ETL) processes;Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; andDeveloping and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure). Pay Range: $142418.00/year to $158620.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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