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Remote Data Analyst Python Jobs in Connecticut (NOW HIRING)

... to analyze data and support systemoperations, utilizing technologies, including Python and Tableau ... Remote work permitted from any location in theU.S.

... to analyze data and support systemoperations, utilizing technologies, including Python and Tableau ... Remote work permitted from any location in theU.S.

Experience with analytical and statistical software * Proficient using data science toolkits such as Python * Comprehensive SQL skills * Strong analytical and problem-solving skills, attention to ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

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Remote Data Analyst Python information

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in Connecticut look for?

The top searched job categories for Remote Data Analyst Python jobs in Connecticut are:

Infographic showing various Remote Data Analyst Python job openings in Connecticut as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Validation Analyst

New London, CT • On-site, Remote

Buyers Edge Platform, LLC
Traveler Accommodation • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

The Data Validation Analyst is responsible for ensuring the accuracy, completeness, and integrity of high-volume revenue data processed across Salesforce and internal data management systems. This role performs detailed data validation, quality assurance, auditing, and reconciliation activities across millions of records each month to support accurate and reliable customer payment and revenue processes.
The ideal candidate has experience working with large datasets, relational databases, and data quality processes. They are highly analytical, detail-oriented, and comfortable investigating complex data discrepancies, identifying potential risks and root causes, and partnering with cross-functional teams to resolve issues.
Success in this role requires developing a strong understanding of how revenue data moves through multiple systems and downstream payment processes, while independently identifying discrepancies and ensuring data is accurate, complete, and properly processed. The Data Validation Analyst will play a critical role in strengthening data quality controls and improving the scalability, efficiency, and reliability of Buyers Edge Platform's revenue and customer payment processes.
Who are we?
Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire foodservice ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated.
Today, we are one of the largest players in foodservice, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to foodservice excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider - we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry.
This position is hybrid based out of our New London, CT office. We are unable to offer work sponsorship for this role.
Your impact:
  • Perform data validation and quality assurance activities on high-volume MAP Revenue data loaded into Salesforce and Data Manager.
  • Audit data to ensure records are accurately loaded, complete, and properly incorporated into downstream customer payment processes.
  • Validate Salesforce Data Tracking Records to confirm the successful processing and inclusion of applicable revenue data.
  • Use data mining, querying, and analytical techniques to identify data discrepancies, anomalies, missing records, and other data quality issues.
  • Investigate and troubleshoot data issues, identify potential root causes, and coordinate resolution prior to customer payment processing.
  • Partner with the Customer Payments team to research and resolve data or payment discrepancies identified during audit processes.
  • Load and manage data files within Data Manager as needed to support ongoing MAP Revenue processing.
  • Develop, maintain, and improve data validation and audit processes to increase accuracy, efficiency, and scalability.
  • Develop a strong understanding of the data lifecycle, including how revenue data moves between source files, internal systems, Salesforce, and downstream payment processes.
  • Communicate findings, risks, and data issues clearly to relevant stakeholders and cross-functional partners.
  • Identify opportunities for process improvements, automation, and enhanced data quality controls.

About you:
Required Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Database Management, or a related field; equivalent relevant experience may be considered.
  • 2-4 years of experience working with databases, large datasets, data validation, data quality, or related analytical functions.
  • Experience performing data quality assurance, validation, auditing, or reconciliation activities.
  • Experience querying and analyzing data using MySQL or similar relational database technologies.
  • Strong understanding of database structures, relationships, and fundamental database architecture.
  • Demonstrated ability to investigate data discrepancies, identify root causes, and resolve complex data issues.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Exceptional attention to detail and ability to maintain accuracy while working with high volumes of data.
  • Strong written and verbal communication skills and the ability to collaborate effectively across teams.
  • Proficiency with Microsoft Office, particularly Excel.

Preferred Qualifications
  • Experience working with Salesforce, including validating data and records within the platform.
  • Experience using Python or other scripting languages for data analysis, validation, or automation.
  • Experience mining large datasets to identify data quality issues, anomalies, or trends.
  • Experience building, maintaining, or improving data audit and validation processes.
  • Experience working in a high-volume data processing, financial operations, revenue operations, payments, or data analytics environment.

Don't meet every requirement mentioned here? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Buyers Edge Platform and our subsidiary brands, we are dedicated to building a diverse, inclusive and authentic workplace. So, if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this position or others with us!
What's in this for you?
Amazing coverages to start. Medical, dental, and vision coverages are just the beginning! We also offer ancillary plans, such as flexible spending accounts for both health and dependent care, critical illness, accident, and voluntary life as well as company paid life insurance plans! On top of this, we also offer a 401(k) plan with company match.
Invest in your success. We will provide you with a thorough training and development program; and offer competitive compensation.
Live well = Work well. Relax with our Personal Responsibility Paid Time Off policy where you don't have to accrue time off in order to take it! We also offer half-day Summer Fridays!
We welcome all.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.