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Spade Data, Inc.

Data Scientist (Mid-Sr)

Manhattan, NY · On-site

Spade is a data and AI platform that turns messy transaction strings into structured, verified records -- and gives teams the tools to act on it across authorization, attribution, analytics, and AI ...

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How much do data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data 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 are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about DATA jobs

What cities are hiring for Data jobs?

Cities with the most Data job openings:

What are the most commonly searched types of Data jobs?

The most popular types of Data jobs are:

What states have the most Data jobs?

States with the most job openings for Data jobs include:

What job categories do people searching Data jobs look for?

The top searched job categories for Data jobs are:

DATA jobs near you
Infographic showing various Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Marketing Data Analyst (SQL, Python) / Hybrid Work

Pioneer Data

Raritan, NJ • On-site

Contractor

Posted 7 days ago

Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Raritan, NJ is currently looking for a Marketing Data Analyst (SQL, Python) to join their expanding team.  
 
Job Title: Marketing Data Analyst (SQL, Python) / Hybrid Work
Duration: 5 months contract, extendable up to 24 Months
Location: Raritan, NJ
Hybrid: 2-3 days/week Onsite
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Campaign Targeting Contractor
 
Responsibilities:
Develop target list for online and offline activations (paid and owned media). Includes target list file creation process and compliant hand-off.
Create UTMs using US Surgery standardized format and structure
Build automation pipelines to streamline frequent ad hoc questions, for example: structure newsletter data to be used for dashboards, structure media data to be used for dashboards, structure lead data to be used for dashboard or weekly scorecard to leaders
Help with any other ad hoc requests needed
 
Job requirements (Mainly technical):
On shore resource (works US EST hours)
Proficient in SQL or Python (required)
Proficient in pipeline creation best practices (required)
Proficient in marketing tech stack (required)
Worked in healthcare industry (preferred)
What would you consider to be the top three non-negotiable skills that you would be looking for when reviewing candidate resumes?
Proficient in SQL or Python; proficient in pipeline creation best practices; proficient in marketing tech stack