How To Make Data Science Career Transition In 5 Steps & Analytics Resume?

By Kimberly Cook |Email | Feb 17, 2019 | 9387 Views

You can't control luck. But the other two, you can. And here is how can (a) find and apply for the right job data science and (b) write the right resume.

So far in this 5-step series, we have talked about nailing your target analytics career profile, understanding your skill gaps with respect to your ideal job and getting the right training to fill those gaps. Before we go further, let me remind you to take the analytics assessment to confirm your analytics aptitude.

By now, you know the jobs you want and have the skills you need. What's in your way? What gets you the interview?
Right Job + Right Resume + Right Time & Place (aka Luck) = Interview

You can't control luck. But the other two, you can. And here is how can (a) find and apply for the right job and (b) write the right resume.

5 tips for finding and applying for the right job

  1. Don't apply randomly, be focused. In the first step of this 5-step series, you did the hard work. You nailed your ideal job profile. Don't let that work go to waste. Stick to the plan and apply only to those jobs that match the profile, build on your skill matrix and capitalize on your new training. If your newfound skills expanded your interests, that is fine--add them to your list of second priority jobs to be looked at once you're done applying for those on your top priority list. If you want to change your top priority list, start the process from Step 1 again. But make sure, whatever you do, to target jobs identified in Step 1.
  2. Internal is the best. If you are currently employed, there is no better place to find your next job than where you already work. You have the inside knowledge and already know the products and company culture, so the only moving part is finding a new job. This approach is not only more manageable; it significantly increases your chance of landing the job.
  3. Search the right job sites. Don't apply on random sites. Use well-established job portals with fresh job postings such as,,,, etc.
  4. Use your contacts. If you have a friend working for the company posting a job that interests you, there is nothing like sending him/her your resume with the job ID/link so they can forward your resume directly to the recruiter or the hiring manager. You can also use your contacts to get an informational interview with the hiring manager to assess your fitness to the job or even the job profile before applying.
  5. Make direct contact with recruiter or hiring manager. Using your contacts isn't the only way to get directly in front of the hiring manager. LinkedIn's paid premium service enables In-mailing the recruiter or hiring manager for some job postings. Many positions on crunch data and craigslist include an email for resume submissions, which allows you to follow-up on your submission later.
8 tips for making a strong analytics resume
  1. Tell one story. Your resume should tell the story of you as an analyst. Granted, you are transitioning your career to analytics from, let's say, being a developer. But your resume should not read like a developer-turned-analyst. Paint one clear, coherent picture of your strengths as an analyst; everything else needs to fold under and support your analyst story. It's a matter of what you highlight and what you don't while maintaining accuracy.
  2. So what? Don't list your projects; list the impact of your projects with numbers and provide context so the reader cares. You can use PSR format - spelling out Problem, Solution, Result for each project. Instead of writing "Did A/B testing on the homepage to understand drivers of login", tell the reader you "Drove incremental revenue of $5M by testing variants on the homepage that resulted in higher login.". Note how much stronger is the latter rendition. If you don't know the actual impact of your work, do a guestimate and describe it as potential revenue gain. And going forward, always calculate the potential impact of the project before engaging in any assignment. Use the Sizing/Estimation technique from the hands-on business analytics course.
  3. Create a 2-second resume. Your resume should tell your story in 2 seconds. That's about the time I spend looking at any given resume as a hiring manager to decide which pile it goes into ?? yea or nay. Here is how to tell your story in 2 seconds:
  • Use a Request for Quote (RFQ) format where you list job requirements in the left column and your own experience in the right to demonstrate how you fit the role. Voila! The hiring manager or recruiter needs only 2 seconds to decide if you meet the job requirements. Here is an example. And yes, I am recommending at least part of your resume to be in this format. Mine is. 

  • Use boldface to highlight words that add to the story, such as "5 years work experience", "SQL", etc.
  • Try to fit the resume in one or no more than two pages and make sure to include a summary at the beginning to capture the most important elements.
  • Chronology is less important at the screening stage, so the first part of your resume (even the first full page) can be a functional resume, perhaps in an RFQ format. The chronological work experience can be listed on a second page.

4. Cover all relevant requirements. Make sure your resume demonstrates your interest and exposure or proficiency in all the requirements from the job posting. Big gaps leave big questions in the screener's mind and often send your resume to the wrong pile. The Top 7 requirements were discussed in detail in Step 2 of the series.

5. Show me the numbers. Always use numbers wherever possible to show scale to the reader. Instead of saying "Managed large cross-functional team", say, "Managed a team of 20, cross-functional...".

6. Don't use empty words. Saying you have good problem-solving skills are not going to sell others on to you as much as briefly recounting an instance when you demonstrated superb problem-solving. Give examples with details, while being brief.

7. Show the fire. Your resume should show enthusiasm and passion for what you do. That counts for more than having all the hard skills.

8. Use active verbs. Instead of saying, "I was involved in a market research project to understand sentiments driving promoter score", write, "conducted market research to understand customer sentiments that resulted in...".

Source: HOB