Use this template
Add your own experience and make this layout yours.
data-analytics
Data Manager
Resume Example
4.5 / 5
Why This Template Works
This resume format works exceptionally well with Applicant Tracking Systems (ATS) due to its structured and keyword-rich approach. The inclusion of specific job titles such as 'Data Strategy Director' ensures that ATS systems can easily recognize the candidate's qualifications and experience in data analytics roles. Additionally, by emphasizing achievements like the implementation of real-time data dashboards, this resume stands out for hiring managers looking for candidates who can drive operational efficiency and strategic insights within their organizations.
Instant Resume Score
Check Your Data Manager Resume Score
Upload your resume for an instant ATS score and practical, role-specific improvements.
- No Signup Required
- Private by Default
- Usually under 30 sec
Your resume
One step to your resume score
Add your resume to run a free score and get prioritized fixes.
How to Write This Resume
Expert guidelines and best practices for each section of your resume.
01
Contact
Contact
First Name Last Name City, State, Zip Code Phone Number | Email Address LinkedIn Profile URL | Portfolio URL (Optional)
General Guidelines
Your contact information is the first section recruiters see. Keep it concise and professional. Ensure your email address is appropriate (e.g., [email protected]). Include your LinkedIn profile for a comprehensive view of your professional journey. A portfolio or personal website is recommended for creative, technical, or design roles.
Avoid This
Do not include your full physical address (street number/name) for privacy reasons. Avoid including personal details like marital status, age, photo, or social security number unless specifically required in your country. Don't use unprofessional email addresses.
Real Examples
See clear examples of how to format contact details effectively.
Don't
John Doe 1234 Random St, Apt 56 New York, NY 10001 [email protected] github.com/aliciacode Single, 28 years old
Do
John Doe New York, NY (555) 123-4567 | [email protected] linkedin.com/in/johndoe | github.com/johndoe | johndoe.dev
Quick Tips
- Use a professional email address (firstname.lastname format)
- Ensure your voicemail is set up and professional
- Double-check your phone number and email for typos
- Make your LinkedIn URL custom (linkedin.com/in/yourname)
- Include GitHub link for developer roles
02
Summary
Summary
Professional Title Result-oriented [Role Name] with [Number] years of experience in [Key Skills/Industries]. Proven track record of [Major Achievement]. Skilled in [Key Technologies/Skills]. Committed to delivering [Specific Value] for [Target Industry/Company type].
General Guidelines
A professional summary is your elevator pitch. It should be 3-5 sentences long, summarizing your experience, key skills, and major achievements. Tailor it to the job description by using relevant keywords. Focus on what makes you unique and the value you bring to potential employers.
Avoid This
Avoid generic objectives like 'Looking for a challenging role to grow my skills.' Recruiters want to know what value you bring to them, not what you want from them. Don't use first-person pronouns (I, me, my). Keep it concise and impactful.
Real Examples
Compare a weak objective with a strong professional summary.
Don't
Objective: I am a hard-working individual looking for a Data Manager position where I can learn new things and advance my career.
Do
Data Manager with 6+ years of experience improving BI reporting, data quality, and analytics delivery. Reduced ETL refresh time from 24 hours to 30 minutes and improved forecast accuracy by 25% through SQL, Python, and Tableau workflows.
Quick Tips
- Quantify achievements where possible (e.g., 'Increased revenue by 20%')
- Keep it under 5 lines for readability
- Use strong action verbs to start sentences
- Tailor the summary to match the job description
03
Skills
Skills
Technical Skills - Languages: [List] - Frameworks: [List] - Tools: [List] Soft Skills - [Skill 1], [Skill 2], [Skill 3]
General Guidelines
Group your skills logically (e.g., Languages, Frameworks, Tools). Focus on hard skills relevant to the job. List skills in order of proficiency or relevance. Soft skills are better demonstrated through bullet points in your experience section rather than a bare list.
Avoid This
Do not list skills you are not comfortable using in an interview. Avoid using progress bars or percentages to rate your skills (e.g., "Java: 80%") as they are subjective and often misinterpreted. Don't include outdated technologies unless specifically required.
Real Examples
Practical example showing do's and don'ts for skills
Don't
Java: 75%, Python: 90%
Do
Python, Java
Don't
Talend, SQL Server, IBM DataStage
Do
ETL Tools: Talend, Informatica PowerCenter, AWS Glue
Quick Tips
- List technical skills in categories such as Languages, Databases, and Tools to make your resume more organized.
- Prioritize hard skills that are specific to the job you're applying for, and remove any irrelevant or outdated technologies.
- Avoid mentioning soft skills in this section; use the Experience section to highlight how these skills were applied in your roles.
- Ensure each skill listed is relevant and accurate. Only include those you are proficient with and can discuss confidently.
04
Experience
Experience
Job Title | Company Name | Location Month Year – Month Year - Action Verb + Context + Result (Quantified) - Led [Project] resulting in [Outcome]... - Collaborated with [Team] to implement [Feature]...
General Guidelines
This is the core of your resume. Use reverse-chronological order (most recent first). Start each bullet with a strong action verb. Focus on achievements and impact, not just duties. Use numbers to quantify your impact (dollars, percentages, time saved, users affected). Show progression and increasing responsibility.
Avoid This
Avoid passive language like 'Responsible for...' or 'Tasked with...'. Don't list every single daily task; focus on significant contributions and measurable outcomes. Avoid jargon that recruiters outside your field won't understand.
Real Examples
Practical example showing do's and don'ts for experiences
Don't
Responsible for analyzing customer data and generating reports.
Do
Analyzed customer behavior data to drive targeted marketing campaigns, increasing email open rates by 25%.
Don't
Worked on ETL processes to integrate multiple sources of data.
Do
Redesigned SQL and Python ETL workflows, reducing daily analytics refresh time from 24 hours to 30 minutes and improving dashboard reliability for finance and sales teams.
Quick Tips
- Use strong action verbs like 'implemented', 'led', 'developed', 'optimized' to start each bullet point.
- Quantify your achievements with numbers whenever possible (e.g., 'increased sales by 20%', 'reduced costs by $50K').
- Showcase your leadership and management skills, especially if you've led teams or projects.
- Highlight any technical challenges you overcame or tools you introduced that significantly improved processes.
05
Education
Education
Degree Name | University Name | Location Month Year – Month Year - Relevant Coursework: [Course 1], [Course 2] - Honors/Awards: [Award Name] - GPA: X.X (if above 3.5)
General Guidelines
List your highest degree first. If you have significant work experience, keep the education section brief. Include your GPA only if it is above 3.5 or if you are a recent graduate. Highlight relevant coursework, academic projects, honors, or leadership roles.
Avoid This
Do not include high school details if you have a college degree. Avoid listing every single course you took; select only the most relevant ones. Don't include graduation dates from decades ago if age discrimination is a concern in your field.
Real Examples
Practical example showing do's and don'ts for educations
Don't
Master of Science in Information Technology | University College London | London, UK September 2015 – June 2018 - Coursework: Introduction to Programming, Database Systems, Data Structures - GPA: 3.2
Do
Master of Science in Information Systems (Data Analytics) | San Francisco State University | San Francisco, CA September 2016 – May 2018 - Relevant Coursework: Data Warehousing and Mining, Advanced SQL for Business Intelligence, Predictive Modeling with Python
Quick Tips
- List your most relevant degree first. In the case of a Data Manager, prioritize degrees in Information Systems or related fields.
- Include only GPA if it's above 3.5 or you're a recent graduate to emphasize your academic performance
- Highlight specific coursework that directly relates to data management and analysis skills needed for the role.
- Mention any honors, awards, or leadership positions within your program that demonstrate additional qualifications.
06
Projects
Projects
Project Name | Tools/Technologies Used - Briefly describe what you created and its purpose - Highlight specific challenges you solved - Link to portfolio or demo if available
General Guidelines
Projects are excellent for demonstrating practical skills, especially if you lack work experience or are changing careers. Include a link to your portfolio or demo if possible. Focus on projects that show problem-solving skills and relevant tools for the target role.
Avoid This
Don't include trivial tutorials unless you significantly expanded on them. Avoid projects that are outdated, incomplete, or irrelevant to the role you're applying for. Don't just list technologies—explain what you created and why it matters.
Real Examples
Practical example showing do's and don'ts for projects
Don't
Created a basic Python script that prints 'Hello, World'. No specific challenges or tools used.
Do
Built a Python and SQL data quality validation tool that reduced manual checks by 80% and standardized validation rules for monthly reporting pipelines.
Quick Tips
- Clearly describe the purpose of each project and how it addresses a specific challenge.
- Highlight technologies used and explain your role in developing or implementing them.
- Provide quantifiable results, such as performance improvements or cost reductions.
- Include links to live demos or portfolio pages for projects that demonstrate your skills.
Frequently Asked Questions
Common questions about this role and how to best present it on your resume.
Focus on data quality, governance, stakeholder reporting, BI tools, pipeline reliability, and measurable business outcomes. Show how your work helped teams make faster or more accurate decisions.
Start with the system, process, or team you improved, then add the tools you used and the result. Metrics such as refresh time, reporting accuracy, adoption, or cost avoidance work well when they are truthful.
Yes. Include relevant databases, SQL, Python or R, ETL tools, cloud platforms, and visualization tools. Keep the list focused on tools you can discuss confidently in an interview.
Show how you guided analysts, set standards, partnered with business teams, or improved decision-making. Leadership can appear through projects, governance work, mentoring, or cross-functional delivery.
Your Next Interview is Just One Resume Away
Create a professional, optimized resume in minutes. No design skills needed—just proven results.
Beat the 75% ATS Rejection Rate
3 out of 4 resumes never reach a human eye. Our keyword optimization increases your pass rate by up to 80%, ensuring recruiters actually see your potential.