Data Job Description

Data Job Description

150 votes for Data
Data provides development and support for a Hadoop/Linux platform that supports analytics (R/Shiny, Python, Spark, H2O, Machine Learning) and business intelligence (Tableau, MSBI).

Data Duties & Responsibilities

To write an effective data job description, begin by listing detailed duties, responsibilities and expectations. We have included data job description templates that you can modify and use.

Sample responsibilities for this position include:

Analyze the data using big data tools to identify opportunities to improve the Customer experience and drive actionable insights, including Python, R, HiveQL, C#, R
Knowledge of statistical and machine learning techniques such as regression analysis, clustering, decision trees, ensemble methods, collaborative filtering
Design, develop and implement online-machine learning libraries
Identifies problems at the data modeling/design level
Participates and facilitates database design discussions
Maintains current data models and develops database designs
Analyzes the impact of database designs as they related to the conceptual data model
Assists in the identification and resolution of inefficiencies in database designs, determines and implements solutions for database design problems, and assists in the development of internal DA projects
Maintains and enforces data architecture/administration standards, maintains standardization of column name abbreviations, domains, and attributes, and assists in the evaluation of tools for the support of data modeling and database design
Assists in the implementation of new database applications

Data Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Data

List any licenses or certifications required by the position: AWS, CBAP, PMI, ITIL, TQM, SHRM, FISD, TDWI, SAS, CDMP

Education for Data

Typically a job would require a certain level of education.

Employers hiring for the data 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, Statistics, Mathematics, Engineering, Information Technology, Science, Business, Economics, Technical, Information Systems

Skills for Data

Desired skills for data include:

Machine learning

Desired experience for data includes:

Interacts with team members, DBA, and Information Technology to ensure accurate identification, definition, and interpretation of data requirements, data models, and database designs
Creates clear and concise presentations in educating IT on the use of data modeling/design technology
Works with implementation team to ensure smooth implementation, understanding, and troubleshooting of software and ensure resolution of outstanding issues
Demonstrates competence, experience, knowledge, and understanding of data architecture/administration concepts
Displays willingness to accept responsibility, displays initiative, good judgment and positive attitude
Provide senior level consulting in identifying and solving complex and highly critical database issues

Data Examples


Data Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of data. 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
  • Propose, investigate, develop and refine new analytic capabilities for deployment in the business
  • Manipulate and analyze large data sets using industry standard tools and techniques
  • Develop and deploy analytics that discover and exploit social networks
  • Develop and deploy analytics with heterogeneous data environment
  • Representing Reference Data CAMDM and the IB Reference Data Design Authority
  • Creating and maintaining our Data Entity standards and interlocking with the CDO offices’
  • Creating and maintaining Data Models and capturing and establishing lineages between various models, data requirements, and business requirements
  • Creating and Maintain Reference Data CAMDM core design artefacts under changes control
  • Creating and maintaining the IB Reference Data service Catalogue
  • Effective listener, who can give timely and constructive feedback
Qualifications for data
  • Lead the overall logical / physical database architecture design and control of the organization's physical, relational and object-oriented databases across multiple platforms and computing environments
  • Extensive experience in Master Data Management (MDM)
  • Financial Services background or experience preferred across different LOBs
  • At least 4 - 9 years of experience into SAS
  • ETL tools (Kettle, Informatica)
  • As needed, may need to qualify for Public Trust – Moderate Risk

Data Job Description

Job Description Example
Our growing company is looking to fill the role of data. 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
  • Responsible for extraction, cleansing, and preparation of data used in predictive and prescriptive modeling within the Operations Division
  • Execute and maintain robust processes for extracting and cleaning data for use in descriptive, inferential, and predictive models, support quality reporting of the data itself
  • Execute data preparation steps (e.g., concatenations, creating data dictionaries - assigning attributes, data types and specifications) and the archival of data tables
  • Maintain seamless data flow across the technology platform
  • Actively support data management initiatives by maintaining data definitions, executing regular data acquisition and reporting, and continually advancing the automation of data flow
  • Maintain master data tables within the scope of Operations Data Analytics
  • Facilitate internal data collection programs and integrate data streams and reporting within a data warehouse environment
  • Maintain data flow relative to database changes, new systems and data architecture
  • Interact with Operations data owners and stakeholders to maintain efficient and accurate data flow and data reporting technology
  • Maintain standard work for data management practices
Qualifications for data
  • BS/BA degree in computer science, MIS or related field
  • Prior insurance work related experience in the P&C sector required with commercial P&C a plus
  • Minimum 5 years prior experience focused in data analysis, modeling, profiling and mapping
  • The ability to decompose complex business and data requirements into technical specifications and data mapping documents
  • Prior experience on System's Integration or Data Warehousing projects
  • Able to work productively and communicate well in a team environment

Data Job Description

Job Description Example
Our company is searching for experienced candidates for the position of data. 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
  • Developing innovative, scalable machine learning and data mining solutions that mine complex user behavioral data and transform it into actionable insights
  • Collaborate with data science team on implementing machine learning algorithms to facilitate audience intelligence and cross-brand personalization initiatives
  • Assume proactive verification of database interface and data accuracy
  • Verify data format as appropriate for the specific use case as defined by manager and stakeholders
  • Maintain manual data collection programs and administer database roles, permissions, and data-entry form accuracy and reliability within the scope of data analysis
  • Maintain data dictionaries for process, equipment, tags, and test result data
  • Support Data Analytics Manager to present and facilitate meetings adapting content to the different audiences
  • Establish open, transparent communication about the data architecture and data management processes
  • Maintain effective and timely communication with various stakeholders related to the use of the information by communicating success, concerns, risks, and status updates on related work
  • Communicate issues or outages data flow and data quality
Qualifications for data
  • Backfill - Assignment May Extend till 2 years or Convert to Full time
  • Strong SQL – joins
  • Should have experience in Logical Data Modelling (Data mapping and customization of FSLDM) and Physical Data Modelling
  • Should have experience in Analysis, Design, Development and Implementation of Data warehousing solutions (EDW) using Informatica, Teradata
  • Understanding of applied machine learning algorithms
  • Ability and eagerness to work on a variety of problems such as computer vision and image recognition, recommender systems and other scalable machine learning applications

Data Job Description

Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data
  • Utilize project methodology to include kick off, requirements, alpha, beta, final review, and user acceptance testing
  • Acts as SME for data analytics initiatives and data management
  • Provides project executive summary reports, presentations, agendas related to project work
  • Establishes rapport with project team members and facilitate a team-based mindset
  • Performs Company business in accordance with all regulations and Company policies and procedures
  • Under the supervision of a Data Scientist execute data analyses (descriptive, diagnostic, and predictive) on clinical trials and/or diagnostics instruments data
  • Support Data Scientists in developing an analytical approach for data-centric services and execute it
  • Work closely together with other Data Analysts and exchange knowledge and experience with them
  • Have a high-level understanding of or be willing and able to learn how the relevant data generating processes work
  • Analyzing massive volumes of data, optimization and performance tuning
Qualifications for data
  • Python, C, or C++
  • Experience with data gathering, data wrangling, cleaning, transforming and development of own machine learning models
  • Minimum 3-5 years experience with scripting languages
  • Advanced SQL skills, including significant PostGres or Redshift
  • 3+ years experience with the Linux shell
  • 1-2+ years experience writing scripts to retrieve data from REST and/or SOAP APIs

Data Job Description

Job Description Example
Our growing company is searching for experienced candidates for the position of data. 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
  • Desgning and developing automated test cases that verify solution feasibility and interoperability, including performance assessments
  • Providing suggestions on Big Data ingestion strategies from any data source or type
  • Delivering implementation on permanent connector which includes data import, transformation, export and synchronization
  • 4 – 5 years of extensive experience as Hadoop Developer and Big Data analyst
  • In depth understanding and usage of Hadoop Architecture frameworks and various components such as HDFS, Job Tracker, Task Tracker, Name Node
  • Responsible for the process of data normalization working closely with the DBA to reach a consensus on the physical data base design
  • Document all primary and foreign keys, indexes and constraints
  • Generate DDL/Alter table scripts for implementation by the DBAs
  • Develop and maintain data pipelines, with a focus on writing scalable, clean, and fault-tolerant code
  • Maintain various data stores and distributed systems, such as Hive, Presto and Druid
Qualifications for data
  • Understanding of multivariate statistical techniques, such as Factor analysis, cluster analysis, regression analysis, ANOVA
  • Partner with business units in understanding our data environment and capabilities
  • Understand and elicit data requirements using interviews, data analysis, business process descriptions, stories, scenarios, business analysis, and workflow analysis
  • The individual will act as a liaison between technology teams and internal business units
  • The data analyst may also assist in identifying data quality problems and in determining options for how they will be handled
  • Function as a subject matter expert on our data, processes, and business methodologies

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