Data Miner Job Description
Data miner
provides insights on how to follow best data practices to maximize the use of data analytics resources.
Data Miner Duties & Responsibilities
To write an effective data miner job description, begin by listing detailed duties, responsibilities and expectations. We have included data miner job description templates that you can modify and use.
Sample responsibilities for this position include:
Database mining in internal / external database for potential candidate contacting candidates
Contacting Candidates and interacting with the Recruiters
To assist the Systems Engineering and Reliability/Fleet Performance team with the support of the BITE Ground Tool
To be the focal to clear any processed file from the tool such that the information is loaded correctly back into the tool
Work collaboratively with Data Scientists, Methodologists, Clinicians, and other team members to provide direction and deliver value through advanced analytic techniques
Support the production of innovative solutions by executing exploratory data analysis and performing data preparation on complex and disparate healthcare datasets
Explore, analyze, and present summarizations of analyses on large healthcare datasets, using advanced mining tools and visualization techniques
Support the production of innovative solutions by leading exploratory data analysis and data preparation on complex and disparate healthcare datasets
Lead the exploration, analysis, and summary presentation of results on large healthcare datasets, using advanced mining tools and visualization techniques
To assist the Systems Engineering and Reliability/Fleet Performance team with the support of the BITE InFlyt Ground Tool
Data Miner Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for Data Miner
Typically a job would require a certain level of education.
Employers hiring for the data miner job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Education, Computer Science, Statistics, Information Technology, Engineering, Science, Business, Management Information Systems, Mathematics, Business/Administration
Skills for Data Miner
Desired skills for data miner include:
Data management
Excel & PowerPoint
SAS
SPSS
Specialized computer applications
Unix/Linux
With the ability to use moderately complex models
Ability to provide consulting to client
Automation practices and data visualization
Banking marketing analytics use cases
Desired experience for data miner includes:
Associate degree of Science, Engineering or Mathematics (Aeronautics, Avionics, Aircraft Maintenance a plus)
At least 5 years of experience and a proven ability to multi-task without sacrificing quality or deadlines on individual projects
Master's degree in a quantitative field, or equivalent experience
5+ years' experience hands on DW technical development
5+ years' experience leading DW technical implementation teams
Experience working directly with customers in a collaborative manner
Data Miner Examples
1
Data Miner Job Description
Job Description Example
Our innovative and growing company is hiring for a data miner. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data miner
- Perform statistical analysis using advanced methods and validation techniques
- Perform data review and data analyses, generate and test working hypotheses
- Work effectively with various groups within HPM
- Strategically drives a broad range of complex data analytics, which may include data analysis and modelling
- Identifies opportunities for spend improvement, develops recommendations, and converts recommendations into compelling new business plans
- Independently executes complex analytics activities at the highest level, processing data, extracting relevant information, driving conclusions and translating analyses into actionable plans
- Completes analyses that support data driven decision making
- Rebalance organization from data collection to value added analysis
- Emphasis on data analysis for predicting, discovery, and prescriptive insights
- Designed automated tools translating information to knowledge
Qualifications for data miner
- 3+ years of hands on experience in extracting data from disparate data sources, transforming and loading into analytical platform ability to comfortably work with raw data from disconnected data sources to clean, blend and analyze
- Demonstrated ability to work both individually and as part of a cross-functional teams
- Proven ability to multi-task without sacrificing quality or deadlines on individual projects
- Requires experience working on multiple projects simultaneously
- Preferred 3 + years’ experience in an engineering or manufacturing organization working with various types of documentation including Bill Of Material (BOM) structure
- 5+ years as a data analyst/scientist/miner (in our team we believe these are the same roles)
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Data Miner Job Description
Job Description Example
Our company is looking for a data miner. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data miner
- Serve as a business liaison between clients and project teams to help understand user interaction
- Assist project manager in better understanding information gathered about user experience
- Assist in the development of recommendations for redesign of the database
- Assist business clients in developing requirements for future use cases
- Assist team in getting the current deliverable in a timely manner
- Ability to develop/update existing training materials and support the team as they deliver training to end-users
- Strong communication skills in working with a team and providing in time updates to project manager
- Design, develop and deploy both one time and continuous production data analysis processes that include use of different algorithms and analytical techniques like clustering, time series, regression and association logic implemented using different statistical and data mining tools like R, Python and SAP PA
- Designs, develops, tests, implements, modifies and maintains existing and new data models and learning algorithms
- In depth practical knowledge of using different statistical data mining techniques like association, regression, time series, market basket, clustering etc using R and SAP Predictive Analytics
Qualifications for data miner
- Background in statistics, data analysis or engineering with a focus on big data machine learning algorithms for identifying complex data patterns (clustering, regression, association rules)
- Comfortable working in a fast-paced environment, in which ad-hoc analysis is as important is long term operationalizing of reporting
- Strong background in Python, specifically for data cleansing
- Hadoop Hive and Spark experience, with a focus on multi-million row data sets
- Expert in Tableau visualization and dashboard curation
- Experience with data warehousing and ETL best practices
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Data Miner Job Description
Job Description Example
Our innovative and growing company is looking for a data miner. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data miner
- To be able to maintain the LOPA’s and system software configurations for any customer that uses the Inflyt Cloud Portal
- To be able to work out inconsistencies of the data gathered to ensure that it can be properly manipulated
- To analyze the information such that a correction can be made
- To be able to utilize the Que Manager or the TGS repository and various report tools such that summary reports can be generated almost at will
- To assist customers with the output of the tools reporting module as necessary
- To be knowledgeable of COTS tools available to assist with the processing of large amounts data quickly and efficiently
- If tools are not available this position will assist in the development of any new tools to support the “Big Data” program
- To understand problems with all types of software application and work with the System team to help make corrections
- To be able to lead projects within the departmental team and if necessary report daily progress to the management team until the completion is reached
- Normalizes, cleanses, and transforms data to as per the customer requirements
Qualifications for data miner
- Strong working knowledge SQL (Teradata and MySQL specific experience a plus)
- Prior experience with Jenkins for job automation
- Alteryx experience a plus
- Experience with Six Sigma or other similar quality improvement frameworks
- Knowledge of ETL processes and tools
- ERP Integration with PeopleSoft and/or SAP a plus
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Data Miner Job Description
Job Description Example
Our company is searching for experienced candidates for the position of data miner. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data miner
- Provide advanced visual analytics to help aid with the identification of patterns, trends and anomalies
- Evaluate, recommend, and optimize the right data transformation methods to support customer needs
- Provide thought leadership and contribute to expanding the knowledge base within area of expertise which includes exploring new methods, tools, techniques and criteria for normalizing and transforming data
- Development, coordination and implementation of enhancements of UAM repository and robotics solutions
- On-boarding of new services and technologies with a strong focus into UAM repositories
- Responsible to ensure compliance with SOX/GDPR regarding UAM
- Data quality and completeness incl
- Developed several Test Cases / Test Plans
- Performed extensive Business Process Modelling by developing Swim-Lane diagrams, and Workflow diagrams using MS Visio
- Understand the application, process and data movement/ data warehouse concepts
Qualifications for data miner
- Working on a Bachelor's Degree with concentration in computer science, information systems, business administration, management information systems or data science related fields
- Familiarity with performing data manipulation and analysis
- Must display advanced skills with Microsoft Excel and Access
- Familiarity with programming languages and database technologies
- Typically 10+ years of experience in statistics, finance or related function
- Advanced understanding of analytical tools and methodologies
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Data Miner Job Description
Job Description Example
Our growing company is hiring for a data miner. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data miner
- Identifies issues in data quality that would impact reporting
- Operates under general guidance and work assignments are varied and require interpretation and independent decisions on course of action
- Experience in defining test strategy/approach, test cases
- Strong experience in the testing phase with business personnel, developers and management
- Excellent knowledge of testing methodology (white vs
- Experience working in multiple Software Development Life Cycle (SDLC) methodologies (Waterfall, Agile)
Qualifications for data miner
- Ability to identify and create superior analytical tools, models and methods for making key business decisions
- Advanced knowledge and understanding of how to analyze business problems using Advanced Microsoft Office skills (Excel, PowerPoint, PowerBI, ), statistical analysis, and financial modeling
- 7+ years of experience as a quality assurance analyst or tester
- Understanding of Oracle RDMS and SQL
- Someone who is energetic and passionate about their work, extremely positive and solution driven
- Someone who has worked on large teams, on projects that have different business owners