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Data Mining Online Jobs in Indiana (NOW HIRING)

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

... data mining techniques for Predictive Analytics. 5+ years of experience developing Advanced Analytics using, for example, Linear Regression, Logistic Regression, GLM, GAM, PCA, ANOVA, CART ...

Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ... If you have a disability and need an accommodation in relation to the online application process ...

Expert Data Scientist

Indianapolis, IN · On-site

$129 - $240/hr

Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ... If you have a disability and need an accommodation in relation to the online application process ...

New

Apply a broad set of data science techniques - data visualization, pre-processing, categorical analysis, text mining, statistical methodologies, data science strategies, data management, AI, etc ...

Lead Data Engineer (Data Engineer)

Bloomington, IN · On-site

$99K - $120K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... online worldwide. The Kelley School has been creating career momentum for 100 years, going from 70 ... Performs advanced data management tasks, including complex data modeling, conversion, de ...

Lead Data Engineer (Data Engineer)

Bloomington, IN · On-site

$105K - $127K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... online worldwide. The Kelley School has been creating career momentum for 100 years, going from 70 ... Performs advanced data management tasks, including complex data modeling, conversion, de ...

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Data Mining Online information

What is data mining in an online context?

Data mining online refers to the process of using algorithms and statistical methods to analyze large sets of digital data collected from the internet, such as website activity, social media interactions, or online transactions. The goal is to discover patterns, trends, and useful information that can help businesses make informed decisions, improve customer experiences, or detect fraud. Online data mining often involves the use of specialized software and tools to extract and process data from various online sources efficiently.

What are some common challenges faced by professionals working in data mining online, and how can they be addressed?

Professionals in online data mining often encounter challenges such as handling large, unstructured datasets and ensuring data privacy and security. Working remotely, they must also stay updated with rapidly evolving tools and algorithms. Effective solutions include leveraging cloud-based platforms for scalable processing, collaborating closely with IT and data security teams, and participating in regular upskilling through webinars and online courses to maintain technical proficiency.

What are the key skills and qualifications needed to thrive as a data mining specialist, and why are they important?

To thrive as a Data Mining Specialist, you need strong analytical skills, a solid background in statistics, and proficiency in programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with data mining tools such as RapidMiner, Weka, or SAS, as well as database management systems and machine learning frameworks, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to stakeholders. These skills and qualities are crucial for extracting valuable patterns from large datasets and driving data-driven decision-making in organizations.

What is the difference between Data Mining Online vs Data Analyst?

AspectData Mining OnlineData Analyst
Required CredentialsBachelor's in CS, Statistics, or related; certifications like Certified Data Mining SpecialistBachelor's in Data Science, Statistics, or related; often similar certifications
Work EnvironmentPrimarily remote, project-based, often freelance or contractOffice or remote, ongoing analysis roles within organizations
Industry UsageUsed across tech, e-commerce, marketing for extracting insights from online dataUsed in finance, healthcare, marketing for interpreting data trends

Data Mining Online focuses on extracting patterns from online data sources, often in a freelance or remote setting. Data Analysts interpret data within organizations to inform decisions. While both roles require similar skills and credentials, Data Mining Online emphasizes online data sources and often involves project-based work, whereas Data Analysts typically work within a company's data team on ongoing analysis.

How do you become a data mining online?

To become a data miner online, you typically need a background in data analysis, statistics, or computer science, along with skills in programming languages like Python or R. Gaining experience with data mining tools and techniques, completing relevant online courses or certifications, and building a portfolio of projects can help establish expertise in the field.

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

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

Data Analyst

campus4tech

Indianapolis, IN • On-site

Full-time

Re-posted 23 days ago


Job description

Job Title: Data Analyst
Job Location: Indianapolis IN, 46204
Job Location: Hybrid
Contract Duration: 11 Months
Note: W2 and C2C candidates can apply
Note: Candidate must be local to Indiana location or they must have a local Indiana Address as we need local candidates for this role
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.