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Remote Data Analyst Jobs in Bloomfield, NJ (NOW HIRING)

Heavily focused on SQL, able to pull data from clarity, creating dashboards within Epic and Power BI, experience working in Snowflake. Required skills: SQL, Clarity Epic Certification, Snowflake

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud ... Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Energy Analyst, Data Center Portfolio Responsibilities: * Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites * Develop ...

Contractor Location: Remote About the Role We are looking for experienced data scientists and ... You'll apply expertise in machine learning, statistics, experimentation, and data analysis to ...

New

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Showing results 41-60

Remote Data Analyst information

See Bloomfield, NJ salary details

$34.8K

$84.6K

$139.2K

How much do remote data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data analyst in Bloomfield, NJ is $84,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $99,300.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Bloomfield, NJ?

The most popular types of Data Analyst jobs in Bloomfield, NJ are:

What are popular job titles related to Remote Data Analyst jobs in Bloomfield, NJ?

For Remote Data Analyst jobs in Bloomfield, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Bloomfield, NJ look for?

The top searched job categories for Remote Data Analyst jobs in Bloomfield, NJ are:

What cities near Bloomfield, NJ are hiring for Remote Data Analyst jobs?

Cities near Bloomfield, NJ with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Bloomfield, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $84,593 per year, or $40.7 per hour.

Senior Data Analyst, Product Analytics

ShopMy

New York, NY • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Who You Are

We're looking for a Senior Data Analyst to join ShopMy's growing Data & Analytics team and become a dedicated analytics partner to Product, Engineering, and Design. This role is about helping every product perform to its potential: establishing what success looks like, ensuring the right behaviors are tracked, validating launches, and making it easy to see what's working, what isn't, and where the next opportunity lies.

You know how to identify what drives value and unlock it through better measurement, systems, and analysis. You don't wait for every question to be handed to you. You dig into user behavior, conversion funnels, product performance, and user feedback to find gaps and opportunities, then work with the right teams to act on them. When data is missing, inconsistent, or misleading, you trace the issue to its source and help drive a complete solution.

You bring substantial technical depth and strong product intuition. You can think in SQL, build thoughtful data models, create dashboards that tell a clear story, and translate nuanced findings into clear recommendations. You know that technically correct results can still tell the wrong story, and you have the judgment to recognize when the data does not reflect the user behavior or business question it is meant to explain. You use AI to multiply your output without outsourcing your judgment.

ShopMy sits at the intersection of SaaS, e-commerce, and a multi-sided marketplace, creating an unusually broad product analytics problem space. You'll work across creator, brand, and shopper experiences, help define how we measure AI-powered products, and explore how AI can continuously monitor performance, surface anomalies, and generate insights. This is a high-autonomy role with a direct line from your work to ShopMy's product decisions and business performance.

What You'll Do
  • Own product analytics for key areas, partnering with Product, Engineering, and Design to define success criteria, tracking requirements, and measurement plans from discovery through launch and optimization
  • Build and maintain product data models, dashboards, and analyses that make adoption, conversion funnels, user behavior, product performance, and opportunities clear and actionable
  • Validate launches and monitor live products, creating alerts and quality checks that identify instrumentation gaps, product regressions, anomalous behavior, and data issues early
  • Conduct deep-dive analyses to identify, quantify, and prioritize opportunities that improve product performance and drive business impact
  • Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution
  • Audit product tracking across web and mobile sources, events, and transformations, partnering with Data Infrastructure and Engineering to resolve gaps and build the models or pipelines needed for reliable analysis
  • Help measure and improve AI-powered products, and develop AI-enabled analytics workflows that monitor performance, interpret feedback, and surface insights at scale
  • Communicate clear recommendations, challenge assumptions when needed, and quantify the impact of product and analytics initiatives for stakeholders and leadership
Qualifications
  • 4+ years of experience in Data & Analytics, preferably in product analytics within e-commerce, marketplaces, B2B SaaS, marketing technology, agencies, social platforms, or similarly relevant environments
  • Expert SQL skills with experience working with large, complex datasets, building data models and pipelines, and operating within modern cloud data warehouses
  • Strong experience with business intelligence tools, BI modeling, data visualization, and storytelling through dashboards
  • Experience analyzing digital user behavior, conversion funnels, feature adoption, and product performance; defining instrumentation and measurement plans; and working with product analytics tools such as Amplitude, Heap, Mixpanel, or similar platforms
  • Experience with experimentation and measurement, including A/B testing, incrementality, or attribution
  • Working experience with Python, JavaScript, R, notebooks, or similar tools for analysis and automation, along with experience using AI to accelerate analysis, automate workflows, monitor products, or surface insights
  • Strong product intuition, problem-solving skills, and attention to detail, with a resourceful and self-directed approach to ambiguity, prioritization, and independently identifying where Analytics should get involved
  • Excellent communicator and cross-functional partner who can simplify abstract or technical concepts, tailor the message to the audience, and turn analysis into a clear point of view

We have a strong preference for someone to be based in New York City, but open to remote on the East Coast.

The work in this role directly shapes how ShopMy builds, measures, and improves its products. This is foundational, high-impact work with meaningful autonomy, exposure across the full product portfolio, and the opportunity to define what excellent product analytics looks like as the company scales.