Getting Started
After creating your brand statement, you can adapt it for your CV or resume summary and LinkedIn summary. Please see examples of the brand statement and its adaptations below.
Key Takeaways
- Can be in first person or without pronouns; best to avoid third person because it can sound awkward.
- Use your brand statement as a diving board to help you build your resume summary and LinkedIn “About” summary.
Brand Statement Example 1
Business intelligence analyst with a background in accounting and skills in Python, pandas, and AWS from [school’s] fintech program. Insatiable intellectual curiosity and ability to mine hidden gems located in large sets of structured, semi-structured, and raw data. Enjoy leveraging background and skills set to support detailed and efficient analysis. In a team of four, created an interactive chatbot that takes user input about spending habits and financial goals and outputs investment advice and data visualizations of spending patterns. Analytical skills from experience as an accountant combined with a talent for developing optimal solutions to technical problems make me a qualified addition to any team.
Brand Statement Example 2
Financial analyst with a certificate in fintech from [school name] and 5+ years of experience in financial services. Proven technical and leadership aptitude in data analysis and financial modeling and forecasting. Qualifications encompass collaborating across teams to define needs, evaluating risks and issues, and implementing solutions in compliance with federal regulations. Well versed in presenting to executive staff and driving cross-functional collaboration across varied organizational subcultures and global teams. Skilled in Python, pandas, and Solidity with a strong interest in machine learning and cryptocurrency. I find great satisfaction in extracting insights from data that enhance decision-making and drive competitive growth.
Brand Statement Example 3
Accomplished data scientist with a BS and MS in computer science and engineering and a fintech certificate from [school name]. History of success with developing machine-learning predictive models, implementing efficient and high-performance applications, and collaborating with different levels of staff to exceed company expectations. Experienced in Python, AWS, Java, C++, and SQL/NoSQL databases (PostgreSQL, MongoDB). Advanced technical foundation with fluency in algorithmic trading, cryptocurrency, and financial modeling. Made extensive positive impact in government and corporate settings by leading teams to successfully make the best informed decision. Thrive in environments where strengths in modern analysis tools are utilized.
Adapting for the Resume Summary
Key Takeaways
- Must not include pronouns.
- Omit details listed elsewhere on the CV or resume for conciseness (e.g., education, a full list of technical skills, specific achievements or projects). The exception to this is if you want to emphasize a qualification, such as your completed program, at the top of the resume.
- Summary should be three to five sentences where you highlight a mix of the role you want at graduation, achievements, and soft skills. If an employer has two candidates with the same tech skills, they will defer to the summary to see if there is something that sets you apart from the other candidates.
Example 1
Business intelligence analyst with a background in accounting. Insatiable intellectual curiosity and ability to mine hidden gems located in large sets of structured, semi-structured, and raw data. Enjoy leveraging background and skills set to support detailed and efficient analysis. Analytical skills from experience as an accountant combined with a talent for developing optimal solutions to technical problems.
Example 2
Financial analyst with 5+ years of experience in financial services. Proven technical and leadership aptitude in data analysis and financial modeling and forecasting. Qualifications encompass collaborating across teams to define needs, evaluating risks and issues, and implementing solutions in compliance with federal regulations. Well versed in presenting to executive staff and driving cross-functional collaboration across varied organizational subcultures, and global teams.
Example 3
Accomplished data scientist with history of success developing machine-learning predictive models, implementing efficient and high-performance applications, and collaborating with different levels of staff to exceed company expectations. Advanced technical foundation with fluency in algorithmic trading, cryptocurrency, and financial modeling. Made extensive positive impact in government and corporate settings by leading teams to successfully make the best informed decision.
Adapting for the LinkedIn Summary (“About” Section)
Key Takeaways
- More similar to the brand statement than to the resume summary.
- First person is ideal, but omitting all pronouns is okay. Third person should be avoided, since it can sound awkward.
- You can use your brand statement as is on LinkedIn, but there is flexibility in formatting. The content can be expanded if desired but should avoid listing every detail about your experience, skills, etc., since those are listed in sections underneath in your profile.
- Might include an invitation to connect at the end (great for those wanting to expand their network).
- LinkedIn instructions on adding bullets and links to your profile https://www.linkedin.com/help/linkedin/answer/1237/formatting-text-or-adding-links?lang=en
Example 1
Financial analyst well versed in presenting to executive staff and driving cross-functional collaboration across varied organizational subcultures, and global teams.
I hold a certificate in financial technology (fintech) and have over 5 years of experience in financial services. Qualifications encompass:
- Collaborating across teams to define needs
- Evaluating risks and issues
- Implementing solutions in compliance with regulations
Eager to connect with you to learn more about what I can do to provide data-centric solutions to your organization.
Example 2
(This example uses the brand statement “as is,” while adding spacing for readability.)
Accomplished data scientist with a BS and MS in computer science and engineering and a fintech certificate from [school name]. History of success with developing machine-learning predictive models, implementing efficient and high-performance applications, and collaborating with different levels of staff to exceed company expectations.
Advanced technical foundation with fluency in algorithmic trading, cryptocurrency, and financial modeling. Made extensive positive impact in government and corporate settings by leading teams to successfully make the best informed decision.
I’m excited to leverage my skills as part of a fast-paced, quality-driven team. Let’s connect!
