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Data Nerd Jobs (NOW HIRING)

Nerd Up, LLC

Senior Systems Engineers

Mount Laurel, NJ · On-site

$150K/yr

What This Actually Is We're Nerd Up. We've been making unusually good matches between smart ... That's a data point. Their Mount Lauren team has some of the lowest turnover in the company -- not ...

ABC Industries

Marketing Analyst

San Francisco, CA · On-site

A data nerd. Passionate about embedding data-driven decisions within the organization * Exceptional problem solver with the ability to transition between detailed data and high-level insights

Trading Interview

$145K/yr

If you are a working quant and a sports data nerd, we want to hear from you! In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively ...

Crocs

Sr. Manager, Global Brand Digital

Broomfield, CO · On-site

$125K - $135K/yr

Advanced analytical skills, ability to translate complex data, trends and insights into actionable strategy and insights: proudly a self-proclaimed data nerd * Measurement guru from bid type tests to ...

Crocs

Sr. Manager, Global Brand Digital

Broomfield, CO · On-site

$125K - $135K/yr

Advanced analytical skills, ability to translate complex data, trends and insights into actionable strategy and insights: proudly a self-proclaimed data nerd * Measurement guru from bid type tests to ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Are you obsessed with data, partner success, taking action, and changing the game ... If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Are you obsessed with data, partner success, taking action, and changing the game ... If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use ...

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Data Nerd information

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$46K

$165K

$243.5K

How much do data nerd jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data nerd in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data nerd?

Data Nerds are individuals who are passionate about working with data, uncovering patterns, and deriving insights to inform decisions. They typically have strong analytical skills and enjoy working with numbers, statistics, and technology. Data Nerds often use tools like spreadsheets, databases, and programming languages to collect, clean, analyze, and visualize data. Their work is crucial in helping organizations make data-driven choices and improve business outcomes.

What are some common challenges data nerds face when communicating their findings to non-technical stakeholders?

Data Nerds often encounter the challenge of translating complex data analyses into clear, actionable insights for non-technical team members. It requires balancing technical accuracy with accessible language, avoiding jargon, and focusing on the business impact of their findings. Collaborating effectively with colleagues in marketing, product, or leadership roles involves tailoring presentations and reports to address their specific interests and concerns. Developing strong storytelling and visualization skills can help bridge this gap and ensure data-driven recommendations are understood and implemented.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, computer science, or a related field. Familiarity with technical tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is typically required, along with relevant certifications. Attention to detail, problem-solving ability, and effective communication are standout soft skills for interpreting and presenting complex data. These skills are crucial for transforming data into actionable insights that drive strategic business decisions.
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What are popular job titles related to Data Nerd jobs?

For Data Nerd jobs, the most frequently searched job titles are:

Data Nerd jobs near you
Infographic showing various Data Nerd job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Product Manager, Data Platform

San Francisco, CA • On-site

Superhuman
See more jobs at Superhumanexternal

$206K - $258K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Key responsibilities

  • Own the roadmap for Superhuman's core data model and shared platform services across a multi-product suite.

  • Define the canonical entities, relationships, events, permissions, and semantics that product and AI teams rely on.

  • Partner with engineering to build reliable, scalable data systems, APIs, and services that turn complex data into simple platform capabilities.

Job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The Opportunity
Superhuman is becoming a multi-product company, and our data platform needs to make that complexity feel simple for our customers and for our internal employees. We're hiring a Senior Product Manager to own the core data model and shared data services that will power connected, intelligent experiences across Superhuman Docs, Mail, Go, Grammarly, and future Superhuman products.
This is a technical, high-leverage product role for someone who loves data systems as much as customer outcomes. You'll define how Superhuman understands users, teams, organizations, permissions, content, activity, signals, and product interactions across a growing suite. You'll turn messy, distributed data into trusted platform primitives that product teams can build on with confidence.
You'll partner closely with data engineering, product engineering, data science, security, and product teams across Superhuman to design the shared services, schemas, governance patterns, and interfaces that make our combined data platform durable, scalable, and easy to use. The right person is a data nerd: curious about models, pipelines, quality, lineage, and semantics, while still anchored in the product experiences those systems enable.
Ownership
In This Role, You Will:
  • Own the roadmap for Superhuman's core data model and shared platform services across a multi-product suite
  • Define the canonical entities, relationships, events, permissions, and semantics that product and AI teams rely on
  • Partner with engineering to build reliable, scalable data systems, APIs, and services that turn complex data into simple platform capabilities
  • Work across product teams to understand data needs, unblock high-impact use cases, and drive consistency without slowing innovation
  • Establish product-quality standards for data trust, documentation, governance, discoverability, and developer experience
  • Define success metrics, prioritize investments, and use data to communicate platform impact and adoption

Qualifications
  • You have 5+ years in product management, with meaningful experience owning technical platform, data, infrastructure, or AI-enabling products.
  • You have hands-on fluency with data systems and platforms, including data modeling, schemas, event systems, APIs, warehouses, or analytics infrastructure.
  • You are comfortable working closely with engineers and data practitioners on technical tradeoffs, architecture, reliability, privacy, security, and scale.
  • You can translate complex platform capabilities into clear product requirements, adoption paths, and user experiences for internal product teams.
  • You have experience shipping products or platforms that serve multiple teams, customers, or surfaces at scale.
  • You have a demonstrated ability to take ambiguous, cross-functional problems from insight to shipped product with minimal oversight.

Competencies
  • Analytical Rigor: You think in systems, metrics, models, and pipelines. You can identify the signal in messy data, define crisp success measures, and translate findings into clear product direction.
  • Platform Product Sense: You understand that internal platforms win through trust, usability, documentation, reliability, and adoption - not just technical elegance.
  • Data Craft: You care deeply about semantics, lineage, data quality, governance, and the long-term maintainability of shared data systems.
  • Enterprise Empathy: You understand the expectations of enterprise customers around data privacy, permissions, security, compliance, and reliability.
  • AI-First Operator: You embed AI into daily workflows, rituals, and decision-making. You model fluency, curiosity, and visible use of AI to raise the bar for speed, quality, and customer impact.
  • Extreme Ownership: You act as if you are 100% responsible for your own outcomes as well as the outcomes of the company. You do this without stepping on toes.
  • Results Driven: You work tirelessly in pursuit of your results; you quickly take the initiative and own it when results are off; you course-correct and get scrappy if necessary.
  • Low Ego: You put the company ahead of yourself. Most of our discussions are about results and how to amplify success.
  • Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.

Compensation and Benefits
Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
We encourage you to apply
At Superhuman, we value our differences, and we encourage all to apply - especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

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