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Mode Analytics Jobs in New York (NOW HIRING)

De Circle

Data Scientist - DyDx

New York, NY · On-site +1

... Mode * Analyze growth funnels, campaign performance, and user cohorts to identify key acquisition and retention drivers to inform product decisions * Own attribution and cohort analyses across ...

MoonPay Inc.

Director, Data & Analytics

Manhattan, NY · On-site

$360 - $410/hr

AI is the default operating mode here. It's woven into every role, and we expect you to use it ... You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring ...

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

AI is the default operating mode here. It's woven into every role, and we expect you to use it ... About the role As Director of Data & Analytics, you'll own Product Data & Analytics across Product ...

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

AI is the default operating mode here. It's woven into every role, and we expect you to use it ... You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring ...

Range

Marketing Analytics Lead

Manhattan, NY · On-site

$169.54 - $210/hr

... mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is ... About the role The Marketing Analytics role will play a pivotal role in driving growth strategy.

Adobe, Inc.

Software Development Engineer

New York, NY · On-site

Ability to read data represented in visual forms in Mode Analytics. * Experience in Agile Development methodologies Our Company Changing the world through digital experiences is what Adobe's all ...

Flex

Sr. Staff Analytics Engineer

New York, NY · Hybrid

Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.) * Expert proficiency with dbt or similar data modeling tool * Strong perspective on analytics engineering ...

Socure

Senior AI Engineer

New York, NY · On-site

$200K - $230K/yr

Operational Excellence - Leverage the evaluation harness and tracing substrate provided by Agentic AI Foundations for continuous performance assessment, failure-mode analysis, and optimization of ...

Nokia

Mechanical Design Engineer

Manhattan, NY

$83K - $112K/yr

Expertise in material properties and yield/failure mode analysis. * Experience with documentation of fabrication, inspection, and assembly processes. * Solid interpersonal, communication and problem ...

Nokia

Mechanical Design Engineer

Manhattan, NY · On-site

$105K - $195K/yr

Expertise in material properties and yield/failure mode analysis. * Experience with documentation of fabrication, inspection, and assembly processes. * Solid interpersonal, communication and problem ...

Nokia

Senior Mechanical Packaging Engineer

Manhattan, NY

$114K - $151K/yr

Expertise in material properties and yield/failure mode analysis. * Experience with documentation of fabrication, inspection, and assembly processes. * Solid interpersonal, communication and problem ...

Nokia

Senior Mechanical Packaging Engineer

Manhattan, NY · On-site

$125K - $296K/yr

Expertise in material properties and yield/failure mode analysis. * Experience with documentation of fabrication, inspection, and assembly processes. * Solid interpersonal, communication and problem ...

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All JobsMode Analytics JobsMode Analytics Jobs in New York

Mode Analytics information

See New York salary details

$66.2K

$135.5K

$191.5K

How much do mode analytics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for mode analytics in New York is $135,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $167,900.00 per year, depending on experience, location, and employer.

How does a Mode Analytics professional typically collaborate with cross-functional teams within an organization?

As a Mode Analytics professional, you will frequently work alongside data engineers, product managers, and business stakeholders to deliver actionable insights. Collaboration often involves gathering requirements, interpreting business needs, and presenting findings through data visualizations or dashboards. Regular communication and the ability to translate technical data into meaningful recommendations are key to ensuring your analyses effectively support decision-making across departments. This role thrives on teamwork, as projects usually span multiple business units, requiring both technical expertise and strong interpersonal skills.

What is Mode Analytics?

Mode Analytics is a collaborative data analytics platform designed for data scientists and analysts. It enables users to explore, analyze, and visualize data using SQL, Python, and R, all within a single environment. Mode makes it easy to share interactive reports and dashboards with teams, streamlining the process of turning data insights into business decisions. Its integrations and automation features help organizations manage complex data workflows efficiently.

What is the difference between Mode Analytics vs Data Analyst?

AspectMode AnalyticsData Analyst
Primary RoleData exploration, visualization, and reporting using Mode platformAnalyzing data, generating reports, and providing insights across various tools
Required SkillsSQL, Python, data visualization, familiarity with Mode platformSQL, Excel, data visualization, statistical analysis
Work EnvironmentData teams, analytics departments, tech companiesBusiness units, consulting firms, finance, marketing
CertificationsNone specific, familiarity with data toolsSQL certifications, data analysis courses

Mode Analytics professionals focus on using the Mode platform for data visualization and reporting, often working closely with data teams. Data Analysts perform broader data analysis tasks across various tools and industries. While both roles require SQL and data visualization skills, Mode Analytics specialists are more platform-specific, whereas Data Analysts have a wider range of tools and techniques.

What are the key skills and qualifications needed to thrive as a Mode Analytics professional, and why are they important?

To thrive as a Mode Analytics professional, you need strong analytical skills, a solid understanding of SQL and data visualization, and experience with data analysis or business intelligence, often supported by a relevant degree. Familiarity with tools such as Mode Analytics, Python or R for data manipulation, and cloud-based data warehouses is typically required. Excellent problem-solving, communication, and collaboration skills help translate data insights into actionable business strategies. These skills are crucial for effectively leveraging data to drive decision-making and deliver impactful results for organizations.
What are popular job titles related to Mode Analytics jobs in New York? For Mode Analytics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Mode Analytics jobs in New York look for? The top searched job categories for Mode Analytics jobs in New York are:
Mode Analytics jobs near you
Infographic showing various Mode Analytics job openings in New York as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $135,495 per year, or $65.1 per hour.

Data Scientist - DyDx

De Circle

New York, NY • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

At dYdX you'll have an opportunity to build state-of-the-art decentralized technologies that will redefine global financial markets. By joining us at this stage in our growth, you will help make fundamental decisions that will shape the course of dYdX.
→ Learn more about working at dYdX
RESPONSIBILITIES:
Growth Analytics
  • Collaborate closely with marketing and other cross-functional teams to understand campaign strategies, lifecycle efforts, product usage metrics, and translate those into actionable data insights using tools like SQL and Mode
  • Analyze growth funnels, campaign performance, and user cohorts to identify key acquisition and retention drivers to inform product decisions
  • Own attribution and cohort analyses across marketing channels to optimize user acquisition strategy
  • Design and evaluate A/B tests and lifecycle marketing strategies to improve user conversion and engagement

Data Infrastructure & Enablement
  • Design and maintain scalable data pipelines and structured models in the data warehouse (e.g., using SQL) to power marketing dashboards, campaign tracking, and self-serve analytics
  • Build pipelines for blockchain transaction, order book, and market participant data to support analysis of user behavior, product engagement, and market dynamics relevant to growth strategies
  • Own and evolve marketing dashboards with KPIs, data visualization with strong story telling, etc. to influence marketing and product decisions for Senior Leadership
  • Ensure high data quality and consistency by implementing validation, monitoring, and documentation standards; establish strong data governance practices across marketing and growth analytics
  • Help instill a data-first culture by making tools and metrics intuitive, reliable, and accessible. Provide guidance to teammates on how to use and interpret data
  • Continuously enhance data infrastructure by optimizing systems, evaluating new tools, and promoting data best practices across the organization
  • Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs

REQUIREMENTS:
  • Bachelor's or Master's degree in quantitative fields (Computer Science, Statistics, Economics) or a related field
  • 4+ years of experience in data science, analytics, product analyst or a similar discipline
  • 2+ years of experience working with blockchain or order book data (e.g. experience indexing blocks, building dashboards in Dune or similar, working with market data from crypto exchanges)
  • Expertise in SQL, database technologies, cloud databases, and reporting technologies (BigQuery, GCP, and Mode or similar)
  • Proficient in Python,
  • Proficient with data visualization tools for generating insights and communicating findings effectively
  • Solid understanding of ETL processes, data modeling, and data warehousing principles
  • Entrepreneurial and intellectually curious, with a passion for asking the right questions, exploring data, and developing well-reasoned hypotheses

Apply