INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, Data Management Analyst positions are at a 8% growth rate, which is as fast as average. With that said, there are currently 168,000 jobs in the market right now. The total number of jobs is expected to increase by 13,200 to 181,200 in the period of 2020-30.
What’s more, the median annual wage for the Data Management Analyst jobs was $98,860 in May 2020. The lowest 10% earned less than $54,070, and the highest 10% more than $155,660.
Our conclusion? The Data Management Analyst job market is wide open for candidates.
Top data management analyst sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
Writing a job-winning experience section: Data Management Analyst resume edition
Data management analyst resume experience section: dos and don'ts
- List 4-6 bullet points per position;
- Include only relevant job experience;
- Make sure to highlight your strongest skills by focusing on the challenges you’ve faced and the results you’ve achieved;
- Don’t use buzzwords that carry no meaning;
- Don’t share confidential information about your previous employers.
If you prefer to be led by example, check out some great Data Management Analyst resume experience section snippets below!
- Experience in collecting, cleansing and converting data, data mining, data mapping.
- Compliance with FATCA & CRS obligations to identify and report on clients as appropriate.
- Maintain and set up information for clients along with meeting the Bank's obligations with AML/CTF.
- Determine the FATCA / CRS classification of each customer.
- Reconciliation for deliverables issued and preparation of reports.
- Ability to work independently while at the same time work cohesively within a team
- Delivery-focused with ability to pay attention to detail and ensure tasks meet required deadlines and to the required levels of quality.
- Leading retail, e-commerce, digital & CSP products in B2B & B2B2C
- Overall responsibility: product management/ownership, product marketing & strategy
- Continuously deliver disruptive new products and business models in 3 months' timeframes
- Product innovation using automation / ML resulting in 100s times faster user flow & lower friction
- Introducing product analytics and A/B testing for data-driven decisions
- Managed data strategy implementation, leading to a 20% improvement in data accuracy
- Created metadata glossaries for 5 major data domains, enabling a 30% reduction in data processing time
- Developed and defined data management processes, resulting in a 25% increase in efficiency
- Collaborated with cross-functional teams to ensure successful road map implementation and adoption
- Conducted hands-on analysis of complex data sets, identifying and resolving data quality issues
- Conducted in-depth data analysis on large data sets using SQL, Python, and Tableau, improving data accuracy by 15%
- Created data visualizations and reports to communicate technical findings to non-technical audiences
- Developed and implemented data cleaning procedures, reducing data processing time by 20%
- Collaborated with cross-functional teams to ensure timely delivery of high-quality data sets
- Created and implemented data governance policies that increased data accuracy by 20%
- Reduced data processing time by 30% by optimizing data workflows and automating data cleansing processes using Python scripts
- Developed Tableau dashboards for clients to monitor key performance indicators, resulting in a 15% increase in revenue
- Collaborated with technical and business stakeholders to understand data requirements and deliver high-quality datasets for analysis
- Conducted data profiling and analysis to identify data quality issues and propose data quality improvement plans
- Developed and maintained SQL scripts for data extraction and manipulation, resulting in a 40% reduction in data processing time
- Conducted ad-hoc data analysis and provided insights to business stakeholders, resulting in a 10% increase in customer retention
- Collaborated with IT teams to design and implement a data warehouse solution that centralized data from multiple sources, resulting in a 25% improvement in data accessibility
- Automated data validation processes and reduced data quality issues by 30%
- Assisted project manager in scoping and analyzing the area of analysis and in delivering high-quality project deliverables
PRO TIP
Make sure to relate your experience to your job description, but never lie. That’s not tolerated and will show up in the face-to-face interview later on.
Action verbs for your data management analyst resume
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An impressive skills section for your Data Management Analyst resume
Writing a skills section that stands out:
- Check the job advert for keywords that you can use: this will help you pass ATS;
- Focus on relevant and valuable skills that will support your application;
- Make sure to include both hard and technical skills, leaving soft skills for other sections of your Data Management Analyst resume;
- Don’t list skills you don’t have.
Top skills for your data management analyst resume
Python
SQL
R
Machine Learning
Java
Tableau
Communication
Curiosity
Business mindset
Adaptability
Critical and analysitcal thinking
Problem solving
PRO TIP
When picking skills to feature in your resume, make sure they'll be relevant to the position you’re applying to. The point of listing skills is for you to stand out from the competition. Stay away from repetitive, meaningless skills that everyone uses in their resumes. Or else, they’ll backfire and make you look like an average candidate.
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Data Management Analyst Resume Header: Tips, Red Flags, and Best Practices
Checklist for your data management analyst resume header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
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PRO TIP
Some companies, states, and countries have non-discrimination policies about what kind of information can be included on your Data Management Analyst resume. This might include a photo (which is often included in a resume header and might be on personal web pages you link to). You can always email the company’s HR department to ask about their policies before you apply.
The data management analyst resume summary: tips and tricks
Making a strong first impression.
- Keep your summary section short and easy to read; avoid long sentences;
- Highlight your total years of experience in the field;
- Mention 1-2 of your biggest achievements and strengths;
- Add a couple of keywords from the job advert.
Resume summary formula:
PRO TIP
When writing a resume summary or objective, avoid first-person narrative.
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Data management analyst resume: a strong education section
What to include in your education section:
- Your highest education degree (incl. major, duration, name of institution);
- A bit more about the certifications you’ve got (if they are relevant to what you’re applying for);
- Some extracurricular activities that have helped you develop and strengthen your skills;
- If you’re an entry-level applicant: Relevant courses and projects.
Top certifications for your data management analyst resume
Data Visualization for Management Consultants & Analysts
A practical guide on how to show results of analyses during consulting projects
Excel Pivot Tables for Management Consultants & Analysts
A practical guide on how to do data and business analyses using Pivot Tables during consulting projects
The Data Analyst Course: Complete Data Analyst Bootcamp 2022
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
Practical SQL Bootcamp for Data Analysts and Data Scientists
Master One of the Most In-Demand Skills for Data Analysts in 2020!
Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Begin data analytics by learning Excel, SQL, Python, Analytics & ML concepts from scratch. Must-know for a data analyst
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PRO TIP
There are dozens of certifications that you can claim as a Data Management Analyst. But, some are more effective than others. That’s why you mustn’t include every certificate other applicants might have. Try instead to earn and list a few of the difficult ones.
Data management analyst resume: how to choose the right format
The content of your resume is necessary for showcasing your expertise, skills, and education. Great formatting, on the other hand, is essential for highlighting your attention to detail, creativity, and ability to stand out.
There are three basic resume formats to choose from:
- Reverse-chronological resume format;
- Functional skills-based resume format;
- Combination (or Hybrid) resume format.
Which one of these you choose depends on a couple of things, but most importantly: the industry and your level of experience.
The reverse-chronological resume format, for example, is great if you’re a Data Management Analyst with many years of experience and no career gaps. It doesn’t really matter if your company of choice is a multinational corporation or an early-stage startup – this resume format is considered to be a safe bet.
If you’re someone with little or no experience, however, we advise you to go for a functional skills-based resume format. It focuses on skills, competencies, and education, rather than experience. This makes it great for entry-level applicants, career changers, and graduate students.
And if you’re tired of traditional formats and want to go over the top when it comes to your application, the combination or hybrid resume format is here to help. Here, you can focus on both your experience and your skills, there’s even space for you to highlight your most spectacular personality traits. If you want to give a modern feel to your Data Management Analyst resume, this resume format is just what you need. Add a ‘my life philosophy’ section for additional bonus points!
Looking for ways to perfect your Data Management Analyst resume layout and style?
- Don’t risk it: choose standard 1-inch resume margins;
- Go for traditional resume fonts (sized 10-12p);
- Match the length of your Data Management Analyst resume with your years of experience – choose a one-page template if you’ve got less than 10 years of experience; otherwise, opt for a two-page resume;
- To be on the safe side, save your resume in PDF. This will help you avoid formatting issues and unauthorized editing.
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PRO TIP
Sometimes you’ll want to go after a job which requires more experience than you have. Instead of using a typical Data Management Analyst resume layout, you can use a creative layout. Getting noticed is the most important challenge and a creative resume layout might help you get invited for an interview as most of other accountants have boring resume designs.
Your data management analyst resume: other sections to include
Tired of resumes that focus only on your professional side? Want to show you’re an actual human being with a real personality that goes beyond your work experience? Then add some other sections to your Data Management Analyst resume!
Depending on the industry, company, and position, you can go for a more creative or less creative approach. Choose 1-2 of the following:
Making your data management analyst resume shine
In a pile of boring black and white resumes, a creative Data Management Analyst application feels like a breath of fresh air. And trust us, recruiters love this.
There are two ways to add a splash of creativity to your resume. You can either go for a creative layout (bright colors, modern fonts, etc.) or add some creative sections (e.g. ‘what my typical day looks like’).
It’s up to you! Just make sure to keep the position, company, and industry in mind. Otherwise, you risk going over the top. And that’s not always a good idea.
What makes a great data management analyst resume: key takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
