ZipRecruiter

Log In

1

Data Analytics 300K Jobs (NOW HIRING)

Pickle

Data Scientist

New York, NY · On-site

$170K - $250K/yr

Our marketplace already features 300K+ items listed for rent , and we're just getting started. What ... Analyze our referral and sharing behaviors. You will calculate our K-factor (virality) and identify ...

Civis Analytics

Chief Technology Officer

Chicago, IL · Remote

Civis Analytics is hiring a Chief Technology Officer (CTO) to lead the company's technical vision ... Salary 225-300k What You'll Do * Be the tech voice within our senior leadership team and guide ...

Civis Analytics

Chief Technology Officer

Chicago, IL · On-site +1

Civis Analytics is hiring a Chief Technology Officer (CTO) to lead the company's technical vision ... Salary 225-300k What You'll Do * Be the tech voice within our senior leadership team and guide ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop ... Manage the full life cycle of machine learning projects, including data analysis and model ...

next page

Showing results 1-20

All JobsData Analytics 300K Jobs

Data Analytics 300K information

See salary details

$33K

$81.5K

$140K

How much do data analytics 300k jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data analytics 300k in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

Data Analytics professionals with extensive experience, advanced skills in tools like SQL and Python, and often leadership responsibilities can reach annual salaries of $300,000 or more. High-level roles such as senior data scientists, analytics directors, or chief data officers typically offer compensation in this range, especially in large organizations or competitive industries.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior positions. Achieving this salary often requires a combination of expertise, certifications, and working in competitive markets or organizations with generous compensation packages.

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 foundation in data interpretation, often supported by a degree in mathematics, statistics, or computer science. Familiarity with technical tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights for diverse stakeholders. These competencies are crucial for making informed business decisions and driving organizational success through actionable data insights.

What are Data Analytics 300K jobs?

Data Analytics 300K jobs refer to high-level roles in the field of data analytics that typically offer annual salaries of $300,000 or more. These positions are usually held by experienced professionals such as lead data scientists, analytics directors, or chief data officers in large organizations. Individuals in these roles are responsible for overseeing data-driven decision making, managing large teams, and developing strategies that leverage big data to achieve business goals. Achieving this salary level generally requires advanced technical skills, leadership experience, and a track record of delivering significant business impact through analytics.

What profession pays 400,000 a year?

In the field of data analytics, senior roles such as Lead Data Scientist or Analytics Director can reach annual salaries of $400,000 or more, especially in high-demand industries or large organizations. These positions typically require advanced skills in statistical analysis, machine learning, and experience with tools like Python or R, along with strong business acumen.

What are some common challenges faced by data analysts working on high-impact, large-scale projects?

Data analysts involved in high-impact, large-scale projects often encounter challenges such as managing and cleaning vast amounts of unstructured or inconsistent data, ensuring data privacy and compliance, and communicating complex findings to non-technical stakeholders. Collaboration with cross-functional teams is frequent and essential, which requires strong interpersonal and project management skills. Balancing multiple deadlines and adapting quickly to shifting project priorities are also key aspects of this role.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Data Science Director, Chief Data Officer, or Lead Data Scientist, which typically require advanced skills in machine learning, statistical analysis, and programming. These roles can offer salaries exceeding $300,000 annually, especially in large organizations or tech companies. Certifications like advanced degrees or specialized training can also contribute to higher compensation.

What is the difference between Data Analytics 300K vs Data Analyst?

AspectData Analytics 300KData Analyst
Required CredentialsTypically requires a bachelor's or master's in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystUsually requires a bachelor's degree in related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentOften in corporate, finance, or tech sectors; involves large datasets and advanced toolsIn various industries; focuses on data collection, cleaning, and basic analysis
Employer & Industry UsageUsed by large organizations seeking high-level insights and strategic decision-makingUsed across industries for operational insights and reporting

Data Analytics 300K typically refers to high-level, specialized roles requiring advanced skills and certifications, often in large organizations. Data Analysts focus on data collection, cleaning, and basic analysis, suitable for a broader range of industries. The main difference lies in the complexity of tasks, required credentials, and the level of strategic impact.

More about Data Analytics 300K jobs
What cities are hiring for Data Analytics 300K jobs? Cities with the most Data Analytics 300K job openings:
What states have the most Data Analytics 300K jobs? States with the most job openings for Data Analytics 300K jobs include:
What job categories do people searching Data Analytics 300K jobs look for? The top searched job categories for Data Analytics 300K jobs are:
Data Analytics 300K jobs near you
Infographic showing various Data Analytics 300K job openings in the United States as of June 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Scientist

Data Scientist

Pickle

New York, NY • On-site

$170K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago

Job description

About Pickle
Pickle is a peer-to-peer rental marketplace unlocking the value of the billions of underutilized items sitting in consumers' closets. We make it easy to rent high-quality items exactly when you need them - with fast, convenient fulfillment and an on-demand experience that's as seamless as shopping.
We're building a new kind of commerce layer: one powered by dynamic local supply, where access is more convenient. Pickle is now live nationwide and scaling rapidly in key local markets including NYC, LA, and Miami. Our marketplace already features 300K+ items listed for rent, and we're just getting started.
What makes Pickle different is the combination of incredible peer-to-peer inventory, industry-leading convenience (under 2 days nationwide and under 2 hours locally), and an on-demand model with no subscriptions - users rent what they want, when they want it. Backed by our Series A funding raised in early 2025 from FirstMark and Craft, we're scaling quickly and building the future of access-driven shopping.
About The Role
You will be the strategic partner to the Founders, answering the billion-dollar question: How do we scale efficiently?
You will be the detective solving the complex puzzle of a two-sided marketplace. One day, you might be modeling price elasticity to determine how a 5% discount impacts contribution margin. The next, you'll be digging into referral data to engineer a viral loop that lowers our CAC by half. You will hunt down the "why" behind every chart, discovering the invisible friction points that hold us back and the hidden behaviors that unlock massive growth.
If you are a "Grinder"-someone who loves the thrill of a hard problem and can't put it down until you've found the solution-this is your playground.
Responsibilities
Growth Strategy & Acquisition
  • Pricing & Incentive Strategy: Design and test dynamic pricing models and incentive structures (e.g., first-order discounts, owner bonuses). You will mathematically determine how to stoke demand and aid conversion without eroding our contribution profit margins, ensuring every dollar of "discount" generates long-term ROI.
  • The Growth Equation: Model our acquisition channels (Organic, Paid, Referral, Ambassadors). You will identify which channels have the highest LTV/CAC ratio and tell us where to double down.
  • Viral Loops: Analyze our referral and sharing behaviors. You will calculate our K-factor (virality) and identify product changes to keep our users as our best marketing channel.

Marketplace Liquidity & Retention
  • Supply-Led Growth: Analyze how inventory levels drive organic growth. Does adding 100 power owners in Chicago unlock 1,000 new customers? You will tell us where to focus supply acquisition.
  • The "Magic Moments": Identify the specific user behaviors that lead to long-term retention (e.g., "Users who rent within 7 days of signup retain at 3x").
  • Churn Prediction: Build models to identify at-risk users before they leave, allowing our CX team to intervene.

Product Conversion (CRO)
  • Funnel Optimization: Own the granular analysis of our demand and supply funnels. You will find the leaks in the bucket and design A/B tests to plug them.
  • Experimentation: Help the product team design valid experiments. You ensure we aren't just shipping features, but moving metrics with statistical significance.

Requirements
  • The "Grinder" Mentality: You are relentlessly curious. You are the type of person who can't put something down until you figure out the why.
  • Growth Native: You speak the language of growth: CAC, LTV, ROAS, K-Factor, Churn, and Cohorts. You understand that "Data Science" is a tool to make money and grow the user base.
  • Product Fluency: You understand product growth loops and can quickly execute and extract insights from demand funnels and A/B tests
  • 5+ Years Experience: Ideally in a Consumer Marketplace or high-growth B2C app. You have seen how a company scales and understand the data infrastructure needed to support it.
    • Note: We are open to less experience if you have exceptional raw talent and a portfolio of solving complex growth problems.
  • Technical Fluency: Expert-level SQL. Proficient in Python/R for modeling. Experience with growth stacks (PostHog, Mixpanel, AppsFlyer, Segment) and visualization tools.

Benefits
  • Competitive compensation and equity
  • Healthcare (Medical, Dental, Vision)
  • Take what you need paid time off
  • Meal Pal credits to cover the cost of lunch
  • Stipend to help set up your desk and office environment
  • Work directly with the founders and executive team
  • Professional coaching, training, and development
  • Grow with the company
  • Pickle credits for our employees, we love when the team uses Pickle!
  • Fun team events and company parties
  • Company offsites
  • Office space in NYC

Apply