Sample Job Description for Data Scientist/Analytics, Entry

Job Description Management

A sample job description outlines the essential duties, responsibilities, and requirements of a specific role within an organization. It provides a clear and concise summary of what the job entails, the expectations for the position, the qualifications, and skills and competencies required to perform the job successfully.
An accurate, well-written job description example can attract qualified candidates and ensure that both the employer and employee have a clear understanding of the role. It can also serve as a basis for performance evaluations and career development plans.
Additionally, sample job descriptions are helpful in other areas of HR, such as to determine pay structure, create a sound job architecture, and ensure legal compliance with labor laws and regulations.
Matching the right person with the right background and skills to the appropriate role is critical to the success of any organization and it starts with an accurate job description.
Our job description management solution, JobArchitect, simplifies the process of creating and maintaining job descriptions, and helps companies accurately communicate a job’s required skills so that you can hire right and perform better.

Data Scientist/Analytics, Entry Job Overview

Data Scientist/Analytics, Entry Job Description Sample

Identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights.

JOB LEVEL
P01
EDUCATION/DEGREE
Master's Degree or MBA
REPORTS TO
Manager
Salary Range
BASE 50%
$79,500
TOTAL 50%
$81,800
Job Responsibilities for Data Scientist/Analytics, Entry

Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the organization.

Search Job Openings

Job Openings for Data Scientist/Analytics, Entry

View Job Description Templates of Similar Jobs

Job Title Job Description
1 Data Analysis/Statistician I The Data Analysis/Statistician I compiles reports, charts, and tables based on established statistical methods. Analyzes and interprets data from various sources. Being a Data Analysis/Statistician I typically reports to a supervisor or manager. Requires a bachelor's degree in area of specialty. Working as a Data Analysis/Statistician I typically requires 0-2 years of related experience. Works on projects/matters of limited complexity in a support role. Work is closely managed.
2 Entry HRIS Analyst The Entry HRIS Analyst assists in identifying new HR needs and the software products to fulfill these needs. Evaluates, analyzes, and maintains company Human Resources Information Systems (HRIS). Being an Entry HRIS Analyst typically requires a bachelor's degree or its equivalent. Makes alterations to existing programs to gather and report data as necessary. In addition, Entry HRIS Analyst typically reports to Manager. Being an Entry HRIS Analyst works on projects/matters of limited complexity in a support role. Work is closely managed. Working as an Entry HRIS Analyst typically requires 0-2 years of related experience.
3 Administrative Services - Clerical - Entry The Administrative Services - Clerical - Entry gathers, compiles, and verifies information and performs data entry. Performs clerical tasks such as answering telephones, handling mail, operating office equipment and maintaining office supplies. Being an Administrative Services - Clerical - Entry typically reports to a supervisor or manager. Typically requires a high school diploma or its equivalent. Being an Administrative Services - Clerical - Entry possesses a moderate understanding of general aspects of the job. Works under the close direction of senior personnel in the functional area. May require 0-1 year of general work experience.
4 Data Scientist/Analytics, Expert Advisory The Data Scientist/Analytics, Expert Advisory interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Identifies business trends and problems through complex big data analysis. Being a Data Scientist/Analytics, Expert Advisory prepares big data, implements data models and develops database to support the business solutions. Designs, develops and implements the most valuable business solutions for the organization. In addition, Data Scientist/Analytics, Expert Advisory typically requires an advanced degree. Typically reports to a manager or head of a unit/department. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. Being a Data Scientist/Analytics, Expert Advisory works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Data Scientist/Analytics, Expert Advisory typically requires 10+ years of related experience.
5 Data and Information Architect I The Data and Information Architect I develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Designs and builds relational databases for data storage or processing. Being a Data and Information Architect I may evaluate new data sources for adherence to the organization's quality standards and ease of integration. Builds data models and defines the structure, attributes and nomenclature of data elements. In addition, Data and Information Architect I typically requires a bachelor's degree. Typically reports to a supervisor or manager. Being a Data and Information Architect I works on projects/matters of limited complexity in a support role. Work is closely managed. Working as a Data and Information Architect I typically requires 0-2 years of related experience.

Data Scientist/Analytics, Entry Skills & Proficiency Level

Skills Proficiency Level
Business Acumen Level 1
Predictive Analytics Level 2
Critical Thinking Level 2