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Entry Level Data Mining Jobs in California (NOW HIRING)

Conventus

Financial Engineer

Westlake Village, CA

$107K - $132K/yr

Create, maintain and deliver quantitative processes including data mining, predictive modeling, and ... Masters or MBA in related field preferred. * Entry level knowledge of residential mortgage industry ...

CodersData LLC

Entry Level SAS Analyst

Glendale, CA · On-site

SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering, managing and retrieving vital data in an organized way. To manage a business in an intelligent way ...

CodersData, LLC

Entry Level SAS Analyst

Glendale, CA

SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering, managing and retrieving vital data in an organized way. To manage a business in an intelligent way ...

American Iron & Metal

Jr. Scrap Metal Buyer

Colton, CA

$25 - $28/hr

... and mining products. We take pride in doing good things for the environment to help create a ... We're hiring an Associate Account Manager an entry-level position designed for recent graduates who ...

American Iron and Metal

Jr. Scrap Metal Buyer

Colton, CA · On-site

$25 - $28/hr

... and mining products. We take pride in doing good things for the environment to help create a ... We're hiring an Associate Account Manager an entry-level position designed for recent graduates who ...

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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 California?

The most popular types of Data Mining jobs in California are:

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

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

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

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

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

Cities in California 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 California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Reporting and Analytics Consultant II, Biostatistics

Kaiser Permanente

Pleasanton, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
In addition to the responsibilities listed below, this entry level position is also responsible for contributing to the publication process by drafting method and results sections under the guidance of more senior employees; extracting and transforming data, creating tables, and interpreting data for publication purposes; documenting processes and decision points; and outlining procedures.
This position is also responsible for creating manual components; writing macros and distributable programs; creating statistical models under the guidance of more senior employees, including identifying when assumptions have been violated; reviewing data for potential error, mistakes, and data quality issues; and breaking approved proposals into process steps.
Essential Responsibilities:
  • Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
  • Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
  • Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
  • Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables.
  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
  • Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
  • Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.
Knowledge, Skills and Abilities: (Core)
  • Ambiguity/Uncertainty Management
  • Attention to Detail
  • Business Knowledge
  • Communication
  • Critical Thinking
  • Cross-Group Collaboration
  • Decision Making
  • Dependability
  • Diversity, Equity, and Inclusion Support
  • Drives Results
  • Facilitation Skills
  • Health Care Industry
  • Influencing Others
  • Integrity
  • Learning Agility
  • Organizational Savvy
  • Problem Solving
  • Short- and Long-term Learning & Recall
  • Teamwork
  • Topic-Specific Communication

Knowledge, Skills and Abilities: (Functional)
  • Data Quality
  • Internal or External Publication
  • Model Creation and Interpretation
  • Procedure Manuals and Documentation
  • Process Mapping
  • Program Writing
  • Data Mining
  • Data Visualization Tools
  • Statistical Programming Language
  • Written Communication

Minimum Qualifications:
  • Bachelors degree in Biostatistics, Statistics, Public Health, Data Science, or related field and 2+ years experience in biostatistics or a directly related field.
Preferred Qualifications:
  • One (1) year Medical or Health Analytics experience.
  • One (1) year experience statistical consulting.
  • One (1) year data simulation experience.
  • One (1) year complex event modeling experience.
  • One (1) year network analysis experience.
  • One (1) year deep learning experience.
  • One (1) year machine learning experience.
  • One (1) year experience working with artificial intelligence tools.
  • One (1) year relational database experience.
  • One (1) year experience working with quality management and data profiling tools.
  • One (1) year server maintenance experience.
  • One (1) year experience working with data visualization tools.
  • One (1) year experience working with data extraction and manipulation language.
  • One (1) year experience working with SQL.
  • One (1) year text analytics experience.
This is for 1-2 years. Continuation is contingent upon contract/grant funding.
Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building B
Scheduled Weekly Hours: 40
Shift: Day
Workdays: Mon, Tue, Wed, Thu, Fri
Working Hours Start: 08:00 AM
Working Hours End: 04:30 PM
Job Schedule: Full-time
Job Type: Standard
Worker Location: Onsite
Employee Status: Regular
Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee
Job Level: Individual Contributor
Department: Oakland Reg - 2000 Broadway - RI Medical Records_Recharge - 0201
Pay Range: $84300 - $109010 / year Kaiser Permanente strives to offer a market competitive total rewards package and is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not reflect the full value of our total rewards package. Actual base pay determined at offer will be based on labor market data, internal alignment, and a candidate's years of relevant work experience, education, certifications, skills, and geographic location.
Travel: No
On-site: Work location is on-site (KP designated office, medical office building or hospital). Worker location must align with Kaiser Permanente's Authorized States policy. Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.

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