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Data Assistant Jobs in Edison, NJ (NOW HIRING)

Economic Data Assistant

New York, NY

$18.25 - $24.25/hr

Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with an economics/finance/data science background to join our ...

Economic Data Assistant

New York, NY

$18.25 - $24.25/hr

Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with an economics/finance/data science background to join our ...

Data Production Engineer

New York, NY · On-site

$150K - $200K/yr

Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data * Data Debugging: Find anomalies in derived datasets and ...

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Data Assistant information

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis tools, programming languages, and certifications, regardless of age.

What are Data Assistants?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What is the role of a data assistant?

A data assistant supports data management tasks such as collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, ensuring data accuracy and integrity to assist analysts and other team members in decision-making processes.

What are some common challenges Data Assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

How much is paid for data entry?

Data assistants typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the tasks. Some positions may offer fixed project-based rates or part-time schedules, and proficiency with data entry tools like spreadsheets or databases can influence pay rates.

What job makes $10,000 a month without a degree?

A Data Assistant typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve fields like software development, sales, or entrepreneurship, which may require self-education, certifications, or experience rather than formal degrees. Most jobs with such income levels demand significant expertise, a strong network, or business ownership.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

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

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.
What are the most commonly searched types of Data jobs in Edison, NJ? The most popular types of Data jobs in Edison, NJ are:
What job categories do people searching Data Assistant jobs in Edison, NJ look for? The top searched job categories for Data Assistant jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Assistant jobs? Cities near Edison, NJ with the most Data Assistant job openings:
Economic Data Assistant

$18.25 - $24.25/hr

Full-time

Medical, Dental, Retirement

Posted 25 days ago


Job description

Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with an economics/finance/data science background to join our growing team.
We are hiring for our US Day market hours in our New York office.  
Day market hours: (8:30 AM - 6:00 PM) Monday-Friday. The position will involve a rotating Sunday shift occurring once every four weeks. Starting at $50k+. 
You would help collect, organize, and update key macroeconomic and financial figures.  To ensure the validity of these government and third-party releases, quality assurance checks are run on the data and reviewed.  Further tasks would involve the creation of new data series/data sets and learning how to automate processes such as web extraction and data conversion using Python, EViews, and other tools.
This is an excellent opportunity to learn about important economic and financial indicators that the community of economists, strategists, and risk managers within the corporate marketplace and public sector rely on.
We are working in a flexible, hybrid environment of 3 days per week in-person at our office. You will need a computer with good internet connectivity at home.
Please visit https://www.haver.com to learn more about us.
Candidates must be detail oriented with good computer and communication skills.  Coding skills in Python or any software is considered a plus for more readily learning our own systems.
Requirements:
  *Submit cover letter and resume.
  *Economics, finance, or data science degree and state your GPA.
  *Live within commuting distance.
  *Two days are worked in-office.
Benefits:
  * review and salary raise each 6 months for the first year.  Annual thereafter
  * eligible for company profit sharing after 6 months
  * tuition reimbursement for work-related courses
  * 401K plan, health and dental insurance
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status. Haver Analytics takes affirmative action in support of its policy to employ and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.