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Entry Level Data Mining Jobs (NOW HIRING)

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 ...

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 ...

SynergisticIT

Data Engineer (Entry Level)

Greensboro, NC

$99K - $118K/yr

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack ...

Elutions

Domain Engineer

Chicago, IL

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Elutions

Domain Engineer

Houston, TX · Remote

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

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How much do entry level data mining jobs pay per year?

As of Jun 15, 2026, the average yearly pay for entry level data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What is an Entry Level Data Mining job?

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 a typical day look like for someone in an Entry Level Data Mining position?

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.

Is 30 too late for data science?

Entry level data mining roles are accessible at any age, including at 30, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science or data mining careers later in life by gaining certifications or completing relevant training programs.

What are the key skills and qualifications needed to thrive in the Entry Level Data Mining position, 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.

Is 40 too late for data science?

Entry level data mining roles are accessible at any age, including at 40, especially with relevant skills in SQL, Python, or R. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

How to get started in data mining?

To start a career in data mining, develop skills in programming languages like Python or R, learn database querying with SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge for entry-level data mining roles.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.
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Entry Level Data Mining jobs near you

Financial Analyst (Entry Level)

Longterm Health Management Services

Skokie, IL • Hybrid

$70K - $85K/yr

Full-time

Posted 22 days ago

Job description

Financial Analyst (Entry Level)

The Analyst will be an integral member of the finance team at Cascade, a private equity firm in the health care industry. Cascade is a large and growing firm with over $3b of healthcare assets under management. We have a best-in-class transaction team that has closed about $1b in transactions in the last 12 months.

The ideal candidate will evaluate and analyze new opportunities and perform monthly analysis on Cascade’s current portfolio under management. Cascade’s portfolio is rapidly expanding and mainly consists of health care real estate in the skilled nursing and assisted living space. The Analyst will gain client exposure and will develop skill sets in the fundamentals of valuation, business strategy and financial analysis. Growth opportunities include the chance to develop skills in financial modeling, underwriting, finance, deal structuring, and capital markets.

The role will perform a diverse range of duties that entails analyzing both investor-owned and owner-occupied properties across the healthcare space.

· Performing credit analysis and bench marking key performance metrics

· Assisting in the development and production of proposals and presentations

· Interacting with members of corporate management teams and financial sponsors

· The role is responsible for supporting the team in assessing new deal opportunity memorandums, closing and accurate funding of loans, performing annual reviews and assembling analytical reports as requested by management.

· Analyze new loan opportunities, property operating performance and financial health by reviewing tax returns, financial data, market data, appraisals, etc

· Due diligence support will entail gathering critical data, preparing market analyses, and property-level financial evaluations

· A commitment to meeting tight deadlines

· Other responsibilities and projects as assigned.

Monthly Responsibilities:

· Work with operator financials to determine large P&L variances. Use this data to assist Asset Managers in their discussions with operators.

· Perform ad hoc revenue and expense analysis. In addition, analyze non-financial market trends such demographics, hospital discharge data, regional income stats, etc.

· Assist Cascade underwriting department on assessing acquisition opportunities and working with seller groups to organize and package information for lenders/operators.

Benefits of Cascade:

· Health insurance, 401k match plus Unlimited PTO. Flexibility to work remote as needed; in general you’ll work from the Cascade office in Skokie, IL.

· Work with a small team and interact with all departments at Cascade - acquisitions, accounting, asset management etc.

· Office Gym and Kitchen with snacks and drinks provided.

Analyst preferred Skills:

· 0-3 years of relevant full-time work experience in finance, accounting, business, real estate or healthcare

· A BA/BS with demonstrated coursework in finance, economics, accounting, mathematics or related subjects (or analytical work experience in lieu of such coursework)

· Passion for health system strategy and finance

· Strong quantitative and analytical skills including experience in valuation, financial modeling and analysis

· Knowledge of various data mining techniques to generate business insight

· Advanced skills in Excel (macros, VBA)