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Remote Data Analytics Graduate Jobs in New York (NOW HIRING)

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

We are looking for an Accounting Data Analyst to drive insights, generate actionable reports, and streamline our operations and trading data needs for the firm. Remote candidates will be considered.

Senior Data Analyst (Remote)

Yonkers, NY · Remote

$89K - $112K/yr

The data analysts make up a critical component of our client implementation team, as Solovis clients need good historical data to maximize the power of the Solovis platform. Our Data Analysts embrace ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... scalable analytics solutions. Job Responsibilities * Analyze operational data to identify trends ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Over the past two years, our team of 3 has become a fully remote team of 30+ Butter Slices, spread ... Familiarity with Google Analytics, HubSpot, Intercom, and Monday.com, and product analytics tools ...

Semantic Modeling & Analytics * Design, develop, and maintain Power BI semantic models that support ... Demonstrated ability to work independently while collaborating effectively within a remote team.

Sr Data Analyst

Manhattan, NY · On-site +1

$90K/yr

Semantic Modeling & Analytics * Design, develop, and maintain Power BI semantic models that support ... Demonstrated ability to work independently while collaborating effectively within a remote team.

Data Analytics and Research: - Planning and performing research and analysis studies related to ... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ...

Data Analytics and Research: - Planning and performing research and analysis studies related to ... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... AI/data, business operations, recruiting, corporate development, private markets, or ...

Showing results 41-60

Remote Data Analytics Graduate information

What are common challenges faced by remote data analytics graduates in their first role, and how can they overcome them?

Remote Data Analytics Graduates often encounter challenges such as adapting to virtual collaboration, managing time effectively without in-person oversight, and learning to communicate complex data insights clearly through digital channels. To overcome these, it's helpful to proactively schedule regular check-ins with mentors or team members, utilize collaborative tools like Slack or Microsoft Teams, and seek feedback on presentations and reports. Building strong self-management habits and engaging in online data analytics communities can also enhance both technical and communication skills while working remotely.

What is a remote data analytics graduate?

A Remote Data Analytics Graduate is someone who has recently completed a degree or certification in data analytics and works remotely, often from home or another non-office location. Their role typically involves collecting, processing, and analyzing data to help organizations make informed decisions. They use various tools and software to interpret data trends and present findings, collaborating with teams virtually. This position is ideal for graduates who are comfortable working independently and have strong analytical and technical skills.

What is the difference between Remote Data Analytics Graduate vs Remote Data Analyst?

AspectRemote Data Analytics GraduateRemote Data Analyst
Required CredentialsDegree in Data Science, Analytics, or related field; entry-level certificationsExperience with data tools; often requires certifications like SQL, Python, or Tableau
Work EnvironmentTypically entry-level, internship, or training roles; supervised environmentFull-time remote position; independent work with team collaboration
Employer & Industry UsageHiring companies seeking fresh talent; industry-wide entry rolesEstablished companies; industries like finance, marketing, tech

The main difference is that a Remote Data Analytics Graduate is an entry-level role suited for recent graduates, focusing on learning and development. In contrast, a Remote Data Analyst is a more experienced position requiring some practical skills and experience, often involving more independent work and project responsibilities.

What skills and qualifications are needed to thrive as a remote data analytics graduate?

To thrive as a Remote Data Analytics Graduate, you need a solid foundation in statistics, data analysis, and programming languages such as Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), spreadsheet software, and cloud-based analytics platforms is often expected. Strong problem-solving skills, attention to detail, and effective communication are vital for presenting insights and collaborating remotely. These skills are crucial for extracting actionable insights from data and contributing effectively to distributed teams.
What are the most commonly searched types of Data Analytics Graduate jobs in New York? The most popular types of Data Analytics Graduate jobs in New York are:
What job categories do people searching Remote Data Analytics Graduate jobs in New York look for? The top searched job categories for Remote Data Analytics Graduate jobs in New York are:
What cities in New York are hiring for Remote Data Analytics Graduate jobs? Cities in New York with the most Remote Data Analytics Graduate job openings:

Senior Data Analyst, Product Analytics

ShopMy

New York, NY • On-site, Remote

Full-time

Posted 15 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.