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data-analytics
ERP Analyst
Resume Example
4.5 / 5
Alex Morgan
Senior ERP Data Analyst
[email protected] | +1 (543) 298-7654 | linkedin.com/in/alex-wong-analyst | alexwong-analytics.com | San Francisco, CA
Professional Summary
Senior ERP Data Analyst with 6+ years of experience turning finance, inventory, and customer data into practical forecasting and reporting improvements. Reduced forecast error by 30% by building machine learning models for demand planning and created dashboards that helped leaders spot inventory risk earlier. Comfortable working with Python, SQL, R, Tableau, Power BI, and business stakeholders across finance, operations, and marketing.
Work Experience
Senior Analyst
01/2022
Tech Company Inc
San Francisco, CA
•
Developed demand forecasting models that reduced forecast error by 30% and helped avoid $500K in annual inventory carrying costs.
•
Analyzed customer and order behavior to refine marketing segments, contributing to a 15% lift in targeted campaign ROI.
•
Built Tableau and Power BI dashboards for finance and operations leaders, cutting strategic planning prep time by 40%.
•
Partnered with operations, finance, and IT teams to standardize recurring ERP reports and shorten data processing cycles.
Analyst
06/2020 - 12/2021
Data Solutions Corp
San Francisco, CA
•
Led market and product performance analysis that supported the launch of 5 product lines and $3M in combined revenue growth.
•
Created a customer segmentation model that improved personalization efforts and increased retention by 10%.
Financial Analyst
04/2019 - 05/2020
Finance Firm LLC
San Francisco, CA
•
Used predictive modeling to flag financial risk patterns early, helping prevent more than $200K in potential losses.
•
Automated financial reporting checks, reducing monthly report preparation time by 60% while improving data accuracy.
Skills
Python, SQL, R, TensorFlow, Tableau, PowerBI, Scikit-learn, Data Visualization
Education
Master of Science in Data Science
08/2019 - 05/2021
University of California, Berkeley
Berkeley, CA
Projects
Stock Market Prediction Model
Built a Python and TensorFlow forecasting model to compare market signals and historical price movement, showing practical experience with noisy financial datasets.
Customer Churn Prediction System
Developed an R and SQL churn model that grouped at-risk customers by behavior pattern and helped a startup prioritize retention outreach.
Certifications
AWS Certified Machine Learning Specialty
09/2025
Google Analytics 360 Suite Certification
11/2024
Why This Template Works
This Analyst resume format is designed to optimize application tracking systems (ATS) by using keywords relevant to the field such as 'predictive analytics' and 'financial modeling'. The summary section provides a clear overview of professional experience, which can increase the likelihood of being noticed by recruiters looking for specific expertise. Additionally, including links to LinkedIn or personal websites can enhance online discoverability.
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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
Don't
Alex Wong 123 Main St, Apt B, San Francisco, CA 94105 [email protected]
Do
Alex Wong San Francisco, CA (543) 298-7654 | [email protected] linkedin.com/in/alex-wong-analyst | alexwong-analytics.com
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)
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 an Analyst position where I can learn new things and advance my career.
Do
Senior ERP Data Analyst with 6+ years of experience in forecasting, financial modeling, and ERP reporting. Reduced demand forecast error by 30% and built dashboards that helped finance and operations teams act on inventory risk earlier.
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
- Lead with the systems, data domains, and business outcomes most relevant to the target analyst role.
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%"). Do not include outdated technologies unless specifically required.
Real Examples
Practical example showing do's and don'ts for skills
Don't
SQL, Java, PHP; Python (beginner); C++ (intermediate)
Do
Languages: SQL, Python Frameworks: TensorFlow, scikit-learn Tools: Tableau, PowerBI
Quick Tips
- List languages separately from frameworks and tools.
- Use clear categories like 'Languages,' 'Frameworks,' and 'Tools' to organize your skills.
- Prioritize the most relevant technologies that align with the job description.
- Avoid listing soft skills in a separate list; instead, integrate them into experience bullet points.
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 cleaning data using Excel spreadsheets.
Do
Cleaned and reconciled ERP inventory data across finance and operations reports, reducing monthly analysis time by 50%.
Don't
Tasked with creating reports for stakeholders on a monthly basis.
Do
Built financial and operational dashboards that improved reporting accuracy by 20% and gave leadership faster visibility into planning risks.
Quick Tips
- Use action verbs like 'Developed', 'Led', or 'Optimized' to describe your contributions in each role.
- Quantify the impact of your work with specific metrics such as cost savings, efficiency improvements, and business growth.
- Connect each analysis task to a business decision, process improvement, or measurable planning outcome.
- Include cross-functional collaborations, emphasizing how working with different teams enhanced project outcomes.
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, Data Analytics | University of San Francisco | San Francisco, CA June 2018 – June 2020 - Coursework: Calculus I, Calculus II, Linear Algebra, Probability and Statistics - Relevant Honors: Dean's List (Fall 2019) - GPA: 3.6
Do
Master of Science in Data Science | University of California, Berkeley | Berkeley, CA August 2019 – May 2021 - Coursework: Machine Learning, Predictive Analytics, Big Data Technologies - Relevant Honors: Dean's List (Fall 2020) - GPA: 3.9
Quick Tips
- Start with your highest degree and list any subsequent education in reverse chronological order.
- Only include GPA if it is above 3.5 or relevant to the job application, such as for a recent graduate position.
- Emphasize courses directly related to the role you're applying for; avoid listing every course taken during your studies.
- Include honors and awards that are specific and demonstrate your achievements in the field.
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 program that prints 'Hello World'.
Do
Developed a TensorFlow forecasting model to identify customer churn risk and prioritize retention outreach, contributing to a 20% reduction in attrition.
Quick Tips
- Specify the tools and technologies used in your project. Emphasize how these tools were integral to solving specific challenges.
- Describe the outcomes of your projects clearly—how did they impact the business or solve a problem?
- Include links to live demos or GitHub repositories if available, making it easier for recruiters to evaluate your work
- Choose projects that show how you cleaned data, built a model or dashboard, and turned the output into a business recommendation.
Frequently Asked Questions
Common questions about this role and how to best present it on your resume.
Emphasize ERP reporting, SQL, data validation, forecasting, dashboarding, and examples of how your analysis improved planning, inventory, finance, or operations decisions.
Use the context-action-result structure: name the business problem, explain the analysis or tool you used, and include a realistic metric such as time saved, forecast accuracy, revenue supported, or error reduction.
Include tools you can discuss confidently, such as SQL, Excel, Tableau, Power BI, Python, R, ERP reporting modules, and database or BI platforms listed in the target job description.
Mirror the job description language for systems, reporting, data quality, and stakeholder work, then reorder bullets so the most relevant ERP, finance, or operations accomplishments appear first.
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