Competitive Intelligence Analyst

A Competitive Intelligence Analyst gathers and analyzes information about competitors, market trends, and industry developments to help businesses make
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Competitive Intelligence Analyst

Glassdoor
Market
National (USA)
Base Salary
$84,460 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Competitive Intelligence Analyst is $84,460 / year according to Glassdoor.com

There are no updated reports for Competitive Intelligence Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Competitive Intelligence Analyst role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Competitive Intelligence Analyst, you will be responsible for gathering and analyzing information about competitors to help businesses gain a competitive advantage. You will need strong research and analytical skills, as well as the ability to interpret and present data effectively. Attention to detail and the ability to identify market trends and competitor strategies are also important, as you will be responsible for providing insights and recommendations to businesses.

The average salary for Competitive Intelligence Analyst is $84,460 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Competitive Intelligence Analyst has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The job role of a Competitive Intelligence Analyst is a crucial one in today's highly competitive business landscape. These professionals play a vital role in helping companies gain a competitive edge by gathering and analyzing information about their competitors, industry trends, and market dynamics. By providing valuable insights and actionable recommendations, Competitive Intelligence Analysts enable businesses to make informed decisions and stay ahead of the competition.

One of the most important skills for a Competitive Intelligence Analyst is research and analysis. These professionals must be adept at gathering information from various sources, such as industry reports, market data, competitor websites, and news articles. They need to have a keen eye for detail and the ability to identify relevant information that can impact the company's strategic decisions. Strong analytical skills are also essential to interpret the data and draw meaningful conclusions.

Another crucial skill for a Competitive Intelligence Analyst is strategic thinking. These professionals need to be able to connect the dots between different pieces of information and identify patterns and trends. They must have a deep understanding of the company's goals and objectives, as well as the competitive landscape, to provide insights that align with the organization's strategic direction. By thinking strategically, Competitive Intelligence Analysts can help businesses identify opportunities and mitigate potential risks.

Communication skills are also vital for a Competitive Intelligence Analyst. These professionals need to be able to effectively communicate their findings and recommendations to key stakeholders within the organization. They must be able to present complex information in a clear and concise manner, using visual aids and storytelling techniques to make their insights more compelling. Additionally, they should be skilled at building relationships and collaborating with cross-functional teams to ensure that their insights are integrated into the decision-making process.

In terms of tasks, a Competitive Intelligence Analyst is responsible for conducting competitor analysis, monitoring industry trends, and identifying emerging market opportunities. They gather and analyze data on competitors' products, pricing strategies, marketing campaigns, and customer feedback to assess their strengths and weaknesses. They also track market trends, such as technological advancements, regulatory changes, and consumer preferences, to identify potential threats and opportunities for the company. Additionally, Competitive Intelligence Analysts may be involved in conducting SWOT (Strengths, Weaknesses, Opportunities, and Threats) analyses, developing competitive profiles, and providing regular reports and updates to senior management.

In conclusion, the job role of a Competitive Intelligence Analyst is multifaceted and critical to a company's success. These professionals possess a unique set of skills, including research and analysis, strategic thinking, and communication, which enable them to gather and interpret information that drives informed decision-making. By staying abreast of industry trends and competitors' activities, Competitive Intelligence Analysts empower businesses to navigate the competitive landscape and seize opportunities for growth.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

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Microsoft Certified: Azure Data Engineer Associate

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Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

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AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

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Specialization Programs improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
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Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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