2. Who you need to attract Background Experience Sample
Work history, education, location
Responsibilities, types of projects
Status: Currently or recently employed in an analytical or mathematical occupation
Education: Math, Economics, Physics, Statistics or related degree
Career path: Spent 1-2 years at a startup before transitioning to mid-sized company along with a promotion
Location: Based in Dallas or Chicago metro areas and willing to relocate there from suburban area or other key metros
Mannerisms: Inquisitive and solutions oriented
Level: 3-4 years, entry-to-mid level
Requirements: Experience with statistics, predictive modeling and visualization tools and business knowledge
Projects: Business analytics solutions and data aggregation methodologies
Sample
Candidate persona name:
Chris the Quantitative Analyst

3. What they care about Goals and objections Motivations Sample
Professional and personal priorities
Influencers, interests and careabouts
Primary: Working on revenue driving initiatives
Secondary: Building new tools from the ground up
Objections to your company: Concerns about project visibility at larger company and worried about having less ownership and responsibility with projects
Influencers: Challenging projects that involve forecasting and modeling, direct leadership and growth opportunities
Careabouts: Loyalty, mentorship, seeing long-term projects through to fruition
Sample
Candidate persona name:
Chris the Quantitative Analyst

4. How to attract them Behavior What you can offer Sample
How they find out about job opportunities
Why they should care about your company
Websites: Tech job boards, search engines and notifications for relevant positions
Network: Referrals from industry contacts
Devices: 50/50 mobile and desktop job searches
Business impact: Ideate and execute compelling projects that have measurable impact on revenue
Growth opportunities: Help the department build an analyst team from the ground up and grow as a leader in the department
Data: Geek out with data and find opportunities to manipulate it to solve business challenges
Sample
Candidate persona name:
Chris the Quantitative Analyst

5. Your attraction strategy
Elevator pitch
Attraction tactics
Engage your candidate persona
Summary of how and where to target this persona
Want to be part of a fast-growing, data-focused team? Put your intuition to work at our company where you’ll innovate and solve business challenges with data.
Sources: Referrals, LinkedIn groups, job search engine
Devices: Majority of job search done on mobile
Location: Tech hubs (Austin, Menlo Park)
Competitors: Fast-paced startup, growing enterprise with established data science team
Sample
Candidate persona name:
Chris the Quantitative Analyst

6. Who you need to attract Background Experience Candidate persona name:
Work history, education, location
Responsibilities, types of projects
Status: [you type here]
Education: [you type here]
Career path: [you type here]
Location: [you type here]
Mannerisms: [you type here]
Level: [you type here]
Requirements: [you type here]
Projects: [you type here]
Candidate persona name:
[you type here]

7. What they care about Goals and objections Motivations
Professional and personal priorities
Influencers, interests and careabouts
Primary: [you type here]
Secondary: [you type here]
Objections to your company: [you type here]
Influencers: [you type here]
Careabouts: [you type here]
Candidate persona name:
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8. How to attract them Behavior What you can offer
How they find out about job opportunities
Why they should care about your company
Websites: [you type here]
Network: [you type here]
Devices: [you type here]
Business impact: [you type here]
Growth opportunities: [you type here]
Data: [you type here]
Candidate persona name:
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9. Your attraction strategy
Elevator pitch
Attraction tactics
Engage your candidate persona
Summary of how and where to target this persona
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Sources: [you type here]
Devices: [you type here]
Location: [you type here]
Competitors: [you type here]
Candidate persona name:
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