Role-In-Review: Data Analyst
IT Role-in-Review - Data Analyst
Learn about the top skills and competencies companies look for when searching for a Data Analyst.
Are you an analytical person with a passion for working with numbers and considering an IT professional career? Are you a seasoned data analytics professional who excels in automating data flows and developing business intelligence solutions? If so, a data analyst role may fit perfectly into your career goals. Data and analytics are at the core of making intelligent business decisions. Data analysts are an essential part of any high-performing team because they take static data and transform it into understandable recommendations and communicate what the data means in a way that other non-IT stakeholders can clearly understand.
Interested in data analysis as an IT career path but not sure how to effectively communicate transferable experience and skills in a way that fits entry-level data analyst roles? Having difficulty selecting the appropriate keywords for updating your career documents (resume, cover letter, LinkedIn profile)?
This month’s Role-In-Review article focuses on the data analyst role. Regardless of your experience level, continue reading to learn about the top competencies, capabilities, and skills companies look for when searching for a Data Analyst. Use these insights and examples provided to optimize your career documents.
⇒ Role Description: what would a Data Analyst normally do? How do they support organizations and what value do they create?
Data Analysts identify data sources, implement data analytics solutions, and develop systems to collect and organize critical information for the organization. They analyze that data into tractable information and critically review the information to make it tell a story and then present that story to application and data owners, as well as senior management and those who make business decisions and improve operations/business performance.
Your introduction, throughout all of your career documents, should demonstrate how you master the core expectations of a data analyst and what unique value you are able to create for the hiring company. For more tips on optimizing your introduction, visit our previous post on how to create an effective IT professional profile introduction (Resume and LinkedIn).
⇒ What are the business / technology areas and type of projects a data analyst can support? The following are just a few high demand specialty areas data analysts we have worked with possess.
⇒ What are the top competencies hiring companies look for? At IT Career Transformation, we develop a Target Role Analysis for our clients’ targeted IT roles to identify the appropriate keywords and competencies. It is essential that keywords and core competencies are included as many times as possible throughout all career documents. You can include these in your Introduction, Key Areas of Expertise / Competencies and Professional Experience sections. This highlights what sets you apart from other candidates and the unique value you can bring to hiring companies. Here are the top ten core competencies hiring companies look for in a Data Analyst:
Specific areas of specialty depend on the hiring company’s particular industry and technology environments. Your career documents should contain specialties you possess and are relevant to your target role. Here are some examples of data analyst specialty areas in high demand:
⇒ Don’t forget to include your soft skills. In today’s competitive job market, companies are looking for the right soft skills in all IT roles. It is essential to include those interpersonal / leadership skills in which you excel throughout all of your career documents. Include terminology such as relationship development / management, adaptable and self-confidence. Here are a few more examples of soft skills recruiters and hiring managers look for in a Data Analyst:
Analytical and Problem Solving | Critical Thinking | Self-Motivated | Leadership skills | Relationship Building | Communication and Presentation skills | Team Player | Detail-Oriented
⇒ What type of desired capabilities, professional experience and accomplishments are hiring companies looking for when searching for a Data Analyst? Most often, these are included in the “Responsibilities” or “What you will do” sections of the job description. Here are few examples of Data Analyst desired capabilities in high demand:
Analyze data sets, design and implement operational metrics that provide insights for determining procurement needs based on inventory levels and production forecast, allowing better planning, reducing operational costs by 30%
⇒ What are the technical skills hiring companies look for when searching for a Data Analyst? This depends on the business, technology stack and development environment (Agile / Waterfall) the hiring company uses. Here are some of the software skills often desired for a Data Analyst:
Microsoft Office (Word, Excel, PowerPoint), Microsoft Teams, Microsoft Power BI, Tableau, Python, SQL, SharePoint, JIRA, Confluence
As you can see, Data Analysts are essential to all companies. We hope this review provides useful recommendations for you to use and share with your friends when optimizing career documents.
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IT Career Transformation is devoted to helping IT professionals and leaders advance their career. We work with IT professionals from entry level to senior management and all types of IT roles to create the Optimum IT Professional Resume, Cover Letter and LinkedIn Profile, optimized with keywords relevant to the target IT role and specialty areas. We provide specialized career development services that help IT professionals accelerate their job search.
Do you need help optimizing your resume to your target IT role?
Visit us at https://www.itcareertransformation.com/ for more information and to schedule your complimentary initial consultation.
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