Sample Job Description for Entry Data Analyst

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Entry Data Analyst Job Overview

Entry Data Analyst Job Description Sample

Supports and contributes to external business analytics projects and processes to provide data-driven insights used to advise the client and develop strategies for operational improvements and future business initiatives.

JOB LEVEL
P01
EDUCATION/DEGREE
Bachelor's Degree
REPORTS TO
Manager
Salary Range
BASE 50%
$74,301
TOTAL 50%
$77,101
Job Responsibilities for Entry Data Analyst

Uses statistical methods, modeling, analytical methodologies, and data analysis to develop and deploy tools including dashboards, infographics, reports, and models to inform and support decision-making. Mines, processes, and analyzes internal and external data using KPIs, business results, industry sources, competitor intelligence, and customer information. Develops a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with users and stakeholders.

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View Job Description Templates of Similar Jobs

Job Title Job Description
1 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.
2 Big Data Analyst I The Big Data Analyst I performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst I maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst I designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Big Data Analyst I typically requires 0-2 years of related experience.
3 Big Data Analyst V The Big Data Analyst V performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst V maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst V designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst V 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 Big Data Analyst V typically requires 10+ years of related experience.
4 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.
5 Big Data Analyst IV The Big Data Analyst IV performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst IV maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst IV designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst IV work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a Big Data Analyst IV typically requires 7+ years of related experience.

Entry Data Analyst Skills & Proficiency Level

Skills Proficiency Level
Business Acumen Level 1
Gathering Information Level 2
Business Process Improvement Level 1