Data Processing Job Description
Data processing
provides back-end database and Linux scripting for specific data capture agents, applications and use cases.
Data Processing Duties & Responsibilities
To write an effective data processing job description, begin by listing detailed duties, responsibilities and expectations. We have included data processing job description templates that you can modify and use.
Sample responsibilities for this position include:
Validate and process data using a series of scripts and applications
Experience working on data processing tasks using SPSS/Excel/Quantum/other methods using company procedures
Receive and process new media, following strict handling guidelines
Transfer data to and from work servers
Analyze and resolve data integrity issues
Make accurate and timely posts to our work request tracking system
Work with Client Managers to address questions about media content and make recommendations where applicable
Generate a variety of reports based on special requests
Work with other departments to resolve issues associated with specific loads
Apply technical knowledge to resolve data integrity issues
Data Processing Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Processing
List any licenses or certifications required by the position: II, RHCE, DOD, IAT, IAITAM, FAA, PMI, PMBOK, RCA
Education for Data Processing
Typically a job would require a certain level of education.
Employers hiring for the data processing job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Science, Mathematics, Business/Information Systems, Statistics, Engineering, Education, Technical, Business, Physics
Skills for Data Processing
Desired skills for data processing include:
Microsoft Office and windows-based computers
Applications
Back end controls
Data sources
Not essential
Excel
Grammar
Linux
MS Excel
Principles
Desired experience for data processing includes:
Work closely with team members to ensure jobs are completed
Work to improve efficiencies by identifying bottlenecks, and working with department manager to further automate processes
Work closely with management on high priority and special projects
Adhere to XLS operational guidelines and processes, to ensure work is done consistently
Ability to learn quickly – and a willingness to put in extra effort to do so
Interacts with other internal departments like Sales Operations, Accounting, Traffic
Data Processing Examples
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Data Processing Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data processing. 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 processing
- Assembles, manipulates and/ or formats data and/or reports using with various software applications such as desktop tools, spreadsheets, report writing software, statistical software, graphical presentation tools, and business intelligence (BI) applications
- Works with information technology staff in the development of data warehouses and other data sources to support managerial and business intelligence reporting needs
- Assists with the design, development, and testing of various technology-based systems and applications
- Assists with system design, development, implementation, monitoring and testing of various meter management applications, license plate recognition systems and photographic traffic monitoring systems
- Train in-country staff in the tablet based collection of data, the further processing of data
- Maintaining marketing campaign calendar
- Maintaining campaign code and log
- Reviewing campaign forms and data requirement
- Importing / exporting, transforming and loading data into marketing campaign database
- Processing data removing opt outs, hard bounce and undeliverable email records
Qualifications for data processing
- Strong communication skills and active listening skills
- Strong team work ethic – willing to jump in to assist others and willing to put in extra hours to meet critical deadlines
- Highly reliable and organized with strong attention to detail
- Strong programming skills in a language such as C#, C++, Python, Ruby, Java, Experience using CSPro would be a plus
- Managing data within CRM 360 Marketing tool to flag relevant data and tasks
- University Degree in Mathematics, Statistics, Informatics or related subject
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Data Processing Job Description
Job Description Example
Our company is looking for a data processing. 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 processing
- Strong Stakeholder management skills and consultancy partnership
- Outstanding oral and written communication skills coupled with attention to detail, accuracy, and follow-through
- Ability to handle ambiguity, high workload, and extreme amount of detail
- Ability to develop rapport with client management and maintain strong working relationships
- Aptitude and ability for web based survey tools SQL, HTML, Java
- Ability to understand programming language using ConfirmIt/Decipher/Dimensions
- Fluent in English (Cantonese, Mandarin and/or Japanese would be desirable)
- You will work on open problems like ingesting updates to HDFS at scale, supporting large complex stream-stream and stream-dataset joins, unification of stream and batch processing
- You will be challenged to understand and architect solutions related to consistency, durability, failure recovery scenarios, storage formats, indexing techniques and query optimizations
- Process personnel changes in Workday
Qualifications for data processing
- Experience with PERL/SQL/UNIX/Windows
- 2+ years of experience in data processing using Quantum or SPSS
- Logical thinking and good communication skill
- Very good command of English language, written and spoken
- Execute and monitor data processing workflows on a big data research platform
- Support regular data releases and data quality assurance for different country markets
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Data Processing Job Description
Job Description Example
Our company is looking for a data processing. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data processing
- Proactively builds and maintains positive and effective relationships with Departments
- Communicates with and presenting to executive leadership project results and findings
- Algorithm development and optimization, working with software engineers to implement and productize the models and algorithms, engage in project specific activities as part of product development, perform cognitive research and development work, develop tools and assets to support advanced cognitive development tasks
- Ability to build relationships with clients, potentially with C-level executives
- Create dashboards, reports, and data and translate it into actionable insight that the Business Support unit can then act on
- To provide all data needed for analysing problems and improvement on business processes
- To build and improve Performance tracking for Business Support Unit
- Partner closely with internal units to recommend process improvements and automations
- Partner closely with regional partners to drive initiatives related to data processing
- Perform data entry as it relates to learning administration
Qualifications for data processing
- BS Computer Science, related technical degree or related experience
- Communication with different parties in a global organization
- Good programming skills in a language such as C#, C++, Python, Java, required
- Experience of relevant image processing software packages (such as ENVI, ERDAS, ESRI, SNAP and relevant open source options QGIS, ORFEO)
- Experience maintaining commercial data within pharmaceutical/biotech industry
- At least 5 years’ experience supporting / implementing SQL Server based commercial data systems (or equivalent)
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Data Processing Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data processing. 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 processing
- Enter training data into learning management system (SuccessFactors) and manage requests using request management system (ServiceNow)
- Make certain client standard operating procedures, processes and service level agreements are maintained
- Identify and trouble shoot discrepancies and issues
- Escalate issues to Manager for resolution
- Work closely with business partners, process owners, application owners and subject matter experts to complete Data Privacy Assessments
- Identify data quality scope from privacy specifications and ensure the right coverage when it comes to validating the data against such specifications
- Determine data privacy improvement recommendations process improvement recommendations to ensure compliance
- Collaborate directly with the business data owners and business analysts to establish the quality of privacy compliance and provide subject matter expertise in improvement plans
- Help the business process owners implement a root cause analysis process for issues discovered during data privacy assessment
- Gather metadata/documentation from source systems as applicable
Qualifications for data processing
- 5+ years’ hands-on experience PL-SQL, SSIS, Business Intelligence in an SQL Server environment
- Strong experience with Commercial Data Environment management including vendor management
- Strong experience design, development & modeling data in a SQL Server Data Warehousing environment with best practices
- Understanding of change management, data governance & master data management best practices
- Demonstrated business processes improvement
- Experience and good working knowledge of Informatica Tools (Master Data Management, Power Center, Data Director, Cloud offerings) is a plus
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Data Processing Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data processing. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data processing
- Perform Data Mapping Assessments with Application Owners and Technical Teams
- Articulate the need for and benefits of data privacy to both IT and the business
- Transfer data from local complaint database to global system
- Assist in retention sample maintenance
- Categorize and process data
- Interact with Data Delivery and Data Analysis clinical teams, Biostatisticians, Medical Writing and Electronic Data Capture (EDC) vendors
- Provide guidance and expertise to the IDAR teams using data processing solutions
- Share expertise to support the clinical data delivery and analysis teams and Clinical Research Organizations (CROs) by organizing trainings, Question and Answers sessions, and organizing direct support when needed
- Deliver on medium complexity projects
- Identify and participate in process, system, and tool improvement initiatives
Qualifications for data processing
- Demonstrated experience performing source data analysis, data discovery and data profiling
- Proven success working in Tableau, Alteryx, SAS, SPSS or the equivalent a plus
- Understanding of HR tools and processes(SAP, Taleo ), while coaching the team to develop this understanding and knowledge
- Monitor and complete all data extracts/downloads or adhoc data requests in a timely manner and on an expected schedule, communicating any challenges/roadblocks
- Interface with other analysts/project managers on the team and other departments to ensure data requests are completed as desired
- Understand and be able to manipulate data to file specifications for submission of data to clients or internal business units