You’ve been around the block. You know how analysis in the real world goes where data wrangling and cleaning is 80 percent of the work.
How do you convey this ability while still showcasing the analysis you can do after the data cleaning is done? We can help you present your skills, whether you need to create a cover letter or resume.
As a former data analyst (turned co-founder of BeamJobs), this is his area of expertise. These five senior data analyst resume templates are a great place for you to get started updating your resume.
What Matters: Your Skills & Work Experience
At the end of the day, your skills experience and your work experience will determine whether you get an interview or not from a given application.
Your skills are there to help establish your technical know-how.
Your work experience is there to show what kind of impact you’ve had in your prior data analyst roles. This work experience should focus on just that; impact.
9 Biggest Senior Data Analyst Skills
- Leadership
- Python/ R
- matplotlib/ ggplot2
- SQL
- CAC, LTV
- Excel/ Google Sheets
- Regressions
- Product analytics
- Google Analytics
Sample Senior Data Analyst Work Experience Bullet Points
We’ll say it again, focus on impact. Your work experience should not be a laundry list of your responsibilities. It should be what you accomplished.
So instead of saying something like “automated daily reporting” you want to focus on the result of that work. Something like “automated daily reporting to reduce errors by 97%.”
Here’s a formula:
[action you took] + [context or skills used] + [impact of action]
Here are a few examples:
- Built data models and maps to generate meaningful insights from customer data, boosting successful sales efforts by 12%
- Modeled customers likely to renew, and presented analysis to leadership, which led to a YoY revenue increase of $300K
- Used Tableau and SQL to redefine and track KPIs surrounding marketing initiatives, and supplied recommendations to boost landing page conversion rate by 38%
- Led a team of 4 analysts to brainstorm potential marketing and sales improvements, and implemented A/B tests to generate 15% more client leads
- Analyzed, documented, and reported user survey results to improve customer communication processes by 18%
Here are the fan favorites. These are the tips we’ve found that have led to the most success for senior data analysts (i.e. more interviews).
We also threw together the three most common questions we get from senior data analysts looking for a new job.
Top 5 Tips for Your Senior Data Analyst Resume
- Be specific
- We sound like a broken clock (look like a broken clock?), but your skills and work experience are the most important parts of your resume template. Be specific about the specific role you played when writing your work experience bullet points.
- Demonstrate depth of knowledge
- As a senior data analyst, employers are looking to you for expertise. They’d much rather you be an expert in one programming language then be just okay with five.
- Talk about your project leadership
- Employers are also looking to you for leadership. They want to hire senior data analysts who take and run with projects. Showcase how you led one or two projects from inception to results.
- Focus mostly on work experience
- Since you’re senior in your career, your resume should focus mostly on your relevant work experience. You don’t want to take up half your resume with your education and hobbies, as those are just not as relevant.
- Data governance is in
- With data breaches on the rise, any experience you have with data governance or data security can be the tipping point toward you getting an interview.
Frequently Asked Questions
- Should I include a career summary?
- Only include a career summary if you are going to make it an actual, compelling summary of your career. Don’t use vague phrases like “dynamic” or “results-oriented.” Instead, focus on your actual results. For example, how much revenue have you helped generate across your entire data analyst career?
- How specific should my “skills” section be?
- Specific enough that a prospective interviewer would know your technical competencies and be able to ask intelligent interview questions. On the other side of this coin, only include skills you’d be comfortable being interviewed on.
- What are metrics I can use to show my impact?
- Outside of the big two (revenue and cost savings), there are plenty of ways you could have had a measurable impact as a senior data analyst. Did you reduce the error rate through an automated report? Improve conversion rate of a landing page? Help improve traffic in some way?
