Data Analyst CV [Full Sample]

Here’s a full Data Analyst resume sample, which we wrote for a client recently. It’s important for a Data Analyst to show off their technical skills, which are mentioned both throughout the resume and at the bottom of page 2 in an additional information section.

Writing a Data Analyst Resume

Follow the steps of our resume writing guide and you’ll have a killer CV in no time!

1. Resume Header

Ensure your header clearly states your Name, Email Address and Contact Number. There is no need to put your home address or identification number.

2.Breaking Down the Data Analyst Resume Sample

Here’s what an Executive Summary shouldn’t look like:

  • Ex-Financial Consultant turned Data Analyst (5+ years exp) – focusing on data analytics.
  • Expert at analysing numbers, managing risks, and improving things.
  • Can lead and manage teams (up to 10), handle many projects, and talk to clients well.
  • Improved a high percentage of efficiency due to my automation.
  • Saved Bank of Singapore thousands of dollars by getting more data and implementing them.

Now look at Mark’s:

  • Former Financial Consultant turned Data Analyst with >5 years’ experience in data analytics, risk management, data mining and process improvement.
  • Adept at identifying opportunities for enhancement to processes and operational efficiencies, leading to faster delivery times and continuous advancements.
  • Strong leader and project manager; capable of handling teams of up to 10, taking on multiple projects, and establishing effective professional relationships with clients at all organizational levels.
  • Significant Highlights:
  • Secured time savings and risk control of ~70% by building and implementing automation processes after identifying potential bottleneck and streaming opportunities.
  • Saved up to ~250k for Bank of Singapore by securing 4 additional data sources from other outlets, conducting feasibility tests and streamlining workflows to integrate new data sources.

The second one, right? But what makes it better?

It demonstrates:

  • A clear personal career narrative from his years of experience, to the industries he has expertise in data analytics.
  • It show’s Mark has a solid foundation in data analytics, risk management, and process enhancement.
  • Their achievements underscore their ability to not just identify opportunities but also to effectively implement strategic solutions, resulting in significant time and cost savings for their previous employer.

In contrast, the first Executive Summary is poorly-written and lacks professionalism.

It does not include any details or metrics and simply makes claims with nothing to back it up.

When writing your own resume, avoid writing a generic Executive Summary! Your resume features your own career – make it all about yourself and your strengths!

Writing an effective yet succinct Executive Summary is equally challenging. Don’t fret – we’re here to help you! Just send us your Resume for a free review – we’ll look through it and share our feedback – all at no cost!

3.Key Skills to include in an Data Analyst Resume

Your Executive Summary might hook us, but we recruiters also want to see the specific skills you can bring to the table.

This section is your chance to list skills you are proficient in! Be mindful to include exact keywords used in the job description. This increases the chances of getting your Resume past ATS scanners (CV scanning software).

ResumeWriter Tip: Scan the job application and add the exact key phrases used in the description, into your resume.

Examples of Data Analyst Key Skills:

  • Data Analytics
  • Project Management
  • Risk Management
  • Project Scoping
  • Business Development
  • Internal Controls
  • Digital Transformation
  • Data Mining
  • Client Relationship Management
  • Attention to Detail
  • Problem Solving

4.Achievements and Work Experiences

Work Experiences

  • Managed a team of 10 for data extraction from 15 sources. Oversaw automation to make things easier and safer.
  • Fixed data issues by finding problems and making things better.
  • Checked data quality all the time. Fixed problems using Best Practices.
  • Worked with clients and vendors on project and completed them on time and within budget.

Here’s how we improved his resume’s Work Experiences.

  • Lead team of 10 to extract data-driven insights from 15 internal and external data sources. Oversees development of automation processes, mitigating operational risks and securing efficient acquisition of deliverables.
  • esolve data integrity gaps by identifying root causes and refining workflows. Experienced in processing data using MATLAB, Strata, R, Microsoft Excel and SAS.
  • Conduct continuous internal and external data quality checks to ensure problems are resolved via Best Practices.
  • Liaise directly with clients and vendors to gather project requirements, outline deliverables and ensure KPIs are met on time, within budget.

    The second Work Experience example is clear. Each bulletpoint specifies one task.

    It properly elaborates which data analytics software they are most experienced with.

    The second example also talks about their contributions (and the approaches taken on to achieve them) to the company and how it affected the operations in the relevant locations.

    Always cite quantifiable metrics to support your statements.

    5. Key Achievements

    • Secured time savings and risk control of ~70% by building and implementing automation processes after identifying potential bottleneck and streaming opportunities.
    • Saved up to ~250k for Bank of Singapore by securing 4 additional data sources from other outlets, conducting feasibility tests and streamlining workflows to integrate new data sources.
    • Secured >100 leads in 6 months by using a data-driven approach to optimise prospect conversion rate.

    Include projects which you have led or worked on, together with their resulting tangible business benefits.

    If you have questions about your Resume, or would like a second opinion, don’t hesitate to reach out! Just send us your CV, and we’ll get back to you!

About the Data Analyst Role

Data analysts have a knack for identifying insights from large swathes of data. They collect raw data from a variety of sources, and discern and examine data from different angles. Beyond drawing empirical data, data analysts must be skilled at cleaning, tweaking, processing and evaluating data to gather maximum insights from limited data and resources.

As a data analyst, you must also possess business acumen, critical thinking and intuition to synergise information and translate patterns from data into actionable insights for businesses.

Good communication, presentation, and stakeholder management skills are critical. Data analysts are essentially storytellers, who must be able to share and articulate their findings effectively with the right stakeholders.

Because of the complex nature of the role, crafting a data analyst resume is rather unique.

What Hiring Managers Look Out For in Data Analyst Resumes

  • Data is the new oil. With a global shift towards leveraging data-driven insights to make business decisions, the data analyst role is becoming increasingly popular. Across all industries, data-literate professionals have an undeniable edge over other colleagues.
  • Support achievements in your resume with metrics. As a data analyst, it is imperative that you use data to give recruiters and employers a sense of scale of your past projects or career achievements.
  • Demonstrate the key skills and technical skills you have experience with. There are hundreds of data analytics tools for professionals. Identify which tools you have the most experience with, and include these tools on your resume.
  • It may be tempting to flood your resume with metrics. After all, data analyst roles involve large volumes of data, right? But don’t forget to extract insights from your metrics! Use numbers to show employers concretely how you have leveraged data and insights to drive business results.
  • Show that you can work both independently and as part of a larger team or department. Data analysts must make sense of messy swathes of data, and define and articulate their insights well to other organisational stakeholders. So apart from hard technical skills, recruiters and employers look for team players with excellent communication skills.

Data Analyst Job Opportunities

  • Join LinkedIn groups or follow companies you wish to work for to keep abreast with new job openings.
  • Alternatively, you can reach out to these headhunters in Singapore to learn about any vacancies they may be trying to fill out.

Job Hunting Tips from our Resident Headhunter

Before You Go…

Be sure to download this resume sample, which uses our tested-and-proven resume writing techniques, as a guide for your own CV. Best part is, this sample is available for free 🙂

And before you start sending out applications, send us your resume for a free CV feedback analysis from our team. We’ll review your CV in detail, share personalised feedback on its strengths and weaknesses, and show you how you can improve it.

Harry Suresh
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