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Day Shift Python Data Analyst Jobs in Massachusetts

Technical skills: experience with Power BI (preferred), Tableau, SQL, Excel, Python, or other data analysis and visualization tools. * Interest in data governance, data quality, model risk management ...

Technical skills: experience with Power BI (preferred), Tableau, SQL, Excel, Python, or other data analysis and visualization tools. * Interest in data governance, data quality, model risk management ...

Founding Data Analyst

Boston, MA · On-site

$100 - $125/hr

Partner with Analytics Engineer to validate pipelines and metric definitions. * Turn messy datasets ... Strong SQL, and Python or a similar language to be dangerous * Comfort with data that's messy and ...

Yes Licenses and Credentials Experience Data Analysis Experience 0-1 year preferred Knowledge ... Shift Day (United States of America) Pay Range $53,040.00 - $75,888.80/Annual Grade 5 At Mass ...

New

... days per week and the balance of the week working either in the office or remotely ... Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel ...

Data Platform Analyst

Boston, MA · Hybrid

$155K - $170K/yr

... days per week and the balance of the week working either in the office or remotely ... Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel ...

Data Platform Analyst

Boston, MA · On-site

$155K - $170K/yr

... days per week and the balance of the week working either in the office or remotely ... Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel ...

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Infographic showing various Day Shift Python Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Lead Data Analyst (Management Data Analysis), Data Analysis and Reporting

National Grid

Waltham, MA • On-site

$127K - $149K/yr

Full-time

Posted 12 days ago


National Grid rating

8.6

Company rating: 8.6 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

11th of 53 rated energy and utility


Job description

About us

National Grid is hiring a Lead Data Analyst, Data Analysis and Reporting for our Capital Project Delivery organization in Waltham, MA. 

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live.


The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow.  This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business

Job Purpose

The Lead Data Analyst, Data Analysis and Reporting role is responsible for enabling data-driven decision-making across Capital Project Delivery through advanced analytics, dashboard development, artificial intelligence, and data visualization solutions. 

This position will partner with business stakeholders to transform complex operational, portfolio, resource, and financial data into actionable insights that improve planning, forecasting, and execution of National Grid's capital investment portfolio. 

Key Accountabilities
  • Develop and maintain executive-level dashboards and visualizations using Power BI. 
  • Partner with business leaders to translate challenges into data science solutions. 
  • Create automated reporting and self-service analytics capabilities. 
  • Analyze large datasets to identify trends, risks, and opportunities. 
  • Support data governance and reporting standards. 
Qualifications
  • Bachelor's degree or continued education certificated in Data Science, Computer Science, Statistics, Engineering, Analytics, Information Systems, or related field preferred. 
  • 2+ years of experience in data science, analytics, or business intelligence required
  • Experience developing dashboards using Power BI.
  • Strong proficiency in Python, SQL, and analytics tools required
  • Experience with AI, machine learning, and generative AI applications. 
More Information

Salary

$127,000 - $149,000 a year

National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.


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