Scientific > Data Analyst
Salary National Average
| Low | Medium | High |
|---|---|---|
| 53110.0000 | 64050.0000 | 82740.0000 |
Supply and Demand
Candidate Supply: 40,702 Job Openings: 4,966
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Short Description:
A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. Their duties include interpreting data sets, identifying trends and patterns, and creating reports or visualizations to communicate insights to stakeholders. Data Analysts work closely with different departments to provide actionable recommendations, improve business processes, and support strategic initiatives. Strong analytical skills, proficiency in data analysis tools, and attention to detail are essential for success in this role, as Data Analysts play a critical role in driving data-driven decision-making within the organization.
Duties / Responsibilities:
- Analyze competitive market strategies by analyzing related products, markets, or share trends.
- Synthesize current business intelligence or trend data to support recommendations for action.
- Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.
- Manage timely flow of business intelligence information to users.
- Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
- Identify and analyze industry or geographic trends with business strategy implications.
- Analyze technology trends to identify markets for future product development or to improve sales of existing products.
- Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
- Identify or monitor current and potential customers using business intelligence tools.
- Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
Skills / Requirements / Qualifications
- Database Management System Software: Amazon DynamoDB; Apache Hive; Elasticsearch; Oracle PL/SQL
- Database User Interface and Query Software: Airtable; Amazon Elastic Compute Cloud EC2; IBM DB2; Transact-SQL
- Development Environment Software: Apache Kafka; Go; Microsoft PowerShell; Ruby
- Object or Component Oriented Development Software: C#; jQuery; Scala; Swift
- Web Platform Development Software: Apache Tomcat; Django; JavaScript Object Notation JSON; Microsoft ASP.NET c
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