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Data Ninja Jobs (NOW HIRING)

Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants * Frontend: NextJS ... Built data infrastructure that powers AI/ML systems - feature pipelines, training data preparation ...

... data, billing information, etc. * Errand Support : Facilitate nearby trips to local stores or the ... Ninja program coming soon! Equal Opportunity Employer 
Kids First is an equal opportunity ...

Wynne systems is looking for a product marketing ninja, focused on driving New Logo and Add‑On ... Conducting and interpreting market data to apply relevant findings to the development process.

Wynne systems is looking for a product marketing ninja, focused on driving New Logo and Add-On ... Conducting and interpreting market data to apply relevant findings to the development process.

Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of ... Collaborate with Data & Engineering teams to maintain the integrity of the media analytics ...

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Data Ninja information

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How much do data ninja jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data ninja in the United States is $26.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $30.05 per hour, depending on experience, location, and employer.

What is a data ninja?

Data Ninjas are professionals who specialize in extracting, analyzing, and interpreting large sets of data to uncover insights and support decision-making. They combine strong technical skills in programming, statistics, and data visualization with a creative and problem-solving mindset. Data Ninjas often work with tools like Python, R, SQL, and various machine learning frameworks to clean, process, and analyze data. Their role may also involve communicating findings to stakeholders and helping organizations make data-driven decisions.

How does a data ninja typically collaborate with other teams to drive data-driven decision making?

Data Ninjas often work cross-functionally, partnering closely with product managers, engineers, and business analysts to identify key data insights and translate them into actionable recommendations. They are responsible for not only analyzing complex datasets but also presenting their findings in a clear and accessible way to non-technical stakeholders. Effective communication and teamwork are essential, as Data Ninjas frequently participate in strategy meetings, design experiments, and help implement data solutions that align with organizational goals.

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

To thrive as a Data Ninja, you need strong analytical skills, proficiency in data analysis, and a solid background in statistics or computer science, often supported by a relevant degree. Familiarity with tools like Python, SQL, R, and data visualization platforms such as Tableau or Power BI, along with certifications in data analytics or data science, is typically required. Exceptional problem-solving abilities, curiosity, and clear communication help you translate complex data into actionable insights and collaborate with stakeholders. These competencies are crucial for extracting meaningful patterns from data, driving informed decisions, and creating value in data-driven organizations.

What is the difference between Data Ninja vs Data Analyst?

AspectData NinjaData Analyst
Required CredentialsProficiency in data tools, basic certificationsBachelor's degree in related field, certifications like Microsoft Excel or SQL
Work EnvironmentFast-paced, tech-driven, often collaborative teamsOffice or remote, structured projects, cross-departmental collaboration
Employer & Industry UsageStartups, tech companies, data-driven organizationsCorporations, finance, healthcare, government agencies
Common Search & ComparisonOften compared for data skills and rolesMore traditional role, often a stepping stone to data science

Data Ninja and Data Analyst roles share overlapping skills like data manipulation and analysis. However, Data Ninjas tend to focus more on advanced data tools and rapid problem-solving in dynamic environments, while Data Analysts often work within structured projects analyzing data to inform business decisions. Both roles are essential in data-driven organizations, but their focus and work settings differ slightly.

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What are popular job titles related to Data Ninja jobs?

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Infographic showing various Data Ninja job openings in the United States as of September 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 73% In-person, 9% Hybrid, and 18% Remote job distribution, with an average salary of $55,761 per year, or $26.8 per hour.

AI & Data Analytics Opportunities

Needham, MA • On-site

SharkNinja
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


SharkNinja rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in.
Note: This is a Pipeline Opening and Not Tied to A Specific Opening
The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards.
Key Responsibilities
Area
What You'll Own
Product Strategy & Vision
Define a 3-9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.
Portfolio & Roadmap
Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.
Evaluation & Experimentation
Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.
Responsible AI & Guardrails
Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.
Application Integrations
Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system observability with Platform teams.
Build vs Buy
Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and recommend paths forward, highlighting risks and contingency plans..
Cross-Functional Leadership
Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.
Impact Measurement
Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.
Partnerships
Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.
Required Qualifications
  • 5+ years in product management with shipped data or AI features tied to measurable outcomes.
  • Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
  • Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
  • Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
  • Excellent executive communication and stakeholder leadership.

Preferred Qualifications
  • Experience optimizing Amazon sales and ad channels.
  • Experience with Salesforce Cloud and CDP integrations.
  • Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

Success Metrics (first 12 months)
  • AI roadmap approved and in execution within 90 days.At least two AI product increments shipped with adoption targets met.
  • Application integrations delivered on time with measurable data quality and reliability improvements.
  • At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
  • AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.
Pay Range
$125,000-$195,000 USD
Our Culture
At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
SharkNinja Candidate Privacy Notice
  • For candidates based in all regions, please refer to this Candidate Privacy Notice.
  • For candidates based in China, please refer to this Candidate Privacy Notice.
  • For candidates based in Vietnam, please refer to this Candidate Privacy Notice.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

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