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Entry Level Data Mining Jobs in New York (NOW HIRING)

Gain America

Entry Level Business Analyst

Hicksville, NY · On-site

$55K/yr

You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ

The Business Analyst will be responsible for the following: - Provide technical and analytical support on issues related to information reporting systems. - Building tools that support data mining ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ · On-site

The Business Analyst will be responsible for the following: - Provide technical and analytical support on issues related to information reporting systems. - Building tools that support data mining ...

IBM

Data Engineer Intern 2027

New York, NY

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

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IBM

Data Engineer Intern 2027

New York, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

New

IBM

Data Engineer Intern 2027

Bronx, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

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Entry Level Data Mining information

What is an entry level data mining?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

What does an entry level data mining do?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

What are the key skills and qualifications needed to thrive in entry level data mining, and why are they important?

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

How to get started in entry level data mining?

To start an entry-level data mining role, develop foundational skills in data analysis, statistics, and programming languages like Python or R. Gain experience with data manipulation tools such as SQL and familiarize yourself with data visualization software; obtaining certifications like Microsoft Data Analyst or Google Data Analytics can also improve your prospects.

What are the most commonly searched types of Data Mining jobs in New York?

The most popular types of Data Mining jobs in New York are:

What are popular job titles related to Entry Level Data Mining jobs in New York?

For Entry Level Data Mining jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Mining jobs in New York look for?

The top searched job categories for Entry Level Data Mining jobs in New York are:

What cities in New York are hiring for Entry Level Data Mining jobs?

Cities in New York with the most Entry Level Data Mining job openings:

Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Entry Level Business Analyst

Data Cloud Merge

Jersey City, NJ • On-site

Full-time

Re-posted 26 days ago

Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
  • Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
  • Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
  • Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
  • Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau

Qualifications
  • Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
  • Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
  • Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
  • Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.

Additional Information
Describe your perks and culture

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