How to hire an analytical data miner

How to hire an analytical data miner, step by step

Here's a step-by-step analytical data miner hiring guide:

• Step 1: Identify your hiring needs
• Step 2: Create an ideal candidate profile
• Step 3: Make a budget
• Step 4: Write an analytical data miner job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new analytical data miner
• Step 8: Go through the hiring process checklist

What does an analytical data miner do?

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1. Identify your hiring needs

   Before you post your analytical data miner job, you should take the time to determine what type of worker your business needs. While certain jobs definitely require a full-time employee, it's sometimes better to find an analytical data miner for hire on a part-time basis or as a contractor.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

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   Hiring the perfect analytical data miner also involves considering the ideal background you'd like them to have. Depending on what industry or field they have experience in, they'll bring different skills to the job. It's also important to consider what levels of seniority and education the job requires and what kind of salary such a candidate would likely demand.

   This list shows salaries for various types of analytical data miners.

   Type of Analytical Data Miner	Description	Hourly rate
   Analytical Data Miner		$28-56
   Business Intelligence Lead	Business intelligence generally leads to operating data modeling design and survey in the entire organization. Their responsibilities include reviewing and verifying customer data, directing the dissemination of data to the data warehouse, and establishing policies and protocols for the collection and examination of data... Show more	$42-72
   Business Intelligence Architect	A business intelligence architect is in charge of establishing data structures and business intelligence for an organization. Their responsibilities typically include designing systems and tools according to the company's needs, studying the feedback of clients, processing and analyzing extensive data, identifying areas needing improvement, and implementing solutions against problem areas... Show more	$41-73

   Show more

2. Create an ideal candidate profile

   Common skills:

   • Python
   • Tableau
   • Visualization
   • Data Analysis
   • Power Bi
   • BI
   • Metrics
   • SAS
   • Java
   • Cloud
   • PowerPoint
   • SQL Server
   • Data Quality
   • VBA

   Check all skills

   Responsibilities:

   • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
   • Produce population behavior GIS health risk assessments base demographics, income & medical data.
   • Work with carriers to resolve EDI data issues.
   • Develop SAS programs for demographic data process in UNIX.
   • Train new employees on both SAS programming and data processing perspectives.
   • Develop ETL processes and schedule jobs to run on a daily basis.

   More analytical data miner duties

3. Make a budget

   Including a salary range in your analytical data miner job description is one of the best ways to attract top talent. An analytical data miner can vary based on:

   • Location. For example, analytical data miners' average salary in nebraska is 43% less than in california.
   • Seniority. Entry-level analytical data miners 50% less than senior-level analytical data miners.
   • Certifications. An analytical data miner with certifications usually earns a higher salary.
   • Company. Working for an established firm or a new start-up company can make a big difference in an analytical data miner's salary.

   Average analytical data miner salary

   $83,793yearly

   $40.29 hourly rate

   ---

   Entry-level analytical data miner salary

   $59,000 yearly salary

   Updated December 5, 2025

   Average analytical data miner salary by state

   Rank	State	Avg. salary	Hourly rate
   1	California	$121,974	$59
   2	District of Columbia	$96,352	$46
   3	Nevada	$94,830	$46
   4	New Hampshire	$91,918	$44
   5	Maryland	$88,014	$42
   6	Pennsylvania	$86,383	$42
   7	Minnesota	$84,516	$41
   8	Ohio	$84,420	$41
   9	Delaware	$83,867	$40
   10	Georgia	$83,400	$40
   11	Connecticut	$83,333	$40
   12	Massachusetts	$82,628	$40
   13	Virginia	$81,833	$39
   14	Missouri	$81,705	$39
   15	New York	$81,343	$39
   16	North Carolina	$80,739	$39
   17	Iowa	$80,675	$39
   18	Texas	$79,415	$38
   19	Illinois	$76,004	$37
   20	Michigan	$74,939	$36

   Average analytical data miner salary by company

   Company

   Rank	Company	Average salary	Hourly rate	Job openings
   1	Meta	$135,976	$65.37	844
   2	eBay	$124,604	$59.91	1
   3	Amazon	$119,833	$57.61	588
   4	Nomura Securities	$107,261	$51.57	4
   5	JPMorgan Chase & Co.	$105,552	$50.75	161
   6	Move	$105,396	$50.67
   7	JUUL	$105,027	$50.49	1
   8	Dynatrace	$104,373	$50.18	1
   9	Chubb	$103,217	$49.62	17
   10	Equifax	$98,127	$47.18	16
   11	Ernst & Young	$96,517	$46.40	741
   12	Bosch USA	$95,066	$45.70
   13	Abt Associates	$93,503	$44.95
   14	Altice USA	$92,829	$44.63	1
   15	Quest Diagnostics	$92,521	$44.48	7
   16	ICONMA	$89,519	$43.04
   17	Cognizant	$89,170	$42.87	118
   18	Centric Consulting	$89,147	$42.86
   19	SYSMIND	$89,125	$42.85
   20	MOURI Tech	$88,229	$42.42

4. Writing an analytical data miner job description

   An analytical data miner job description should include a summary of the role, required skills, and a list of responsibilities. It's also good to include a salary range and the first name of the hiring manager. To help get you started, here's an example of an analytical data miner job description:

   Analytical data miner job description example

   SD11- Data Strategy & Analytics
   
   Location: New York, NY
   
   THESE POSITIONS ARE FOR INTERNAL WBD CANDIDATES ONLY!
   
   Every great story has a new beginning.
   
   We're excited to announce that Discovery and WarnerMedia have combined to become Warner Bros. Discovery. We're a premier global media and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. Our mission is simple. To be the world's best storytellers with world-class products for consumers.
   
   From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.
   
   Warner Bros. Discovery's DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are continuously leveraging new technology to build immersive and interactive viewing experiences. Our platform covers everything from search, catalog, and video transcoding, to personalization, global subscriptions, and more. We are committed to delivering quality user experiences, ranging from video streaming to applications across connected TV, mobile, web and consoles. As a pure tech organization, we are essential to Warner Bros. Discovery's continued growth, building world-class products from the ground-up for our iconic brands like HBO Max, Discovery Channel, CNN, Food Network, HGTV, Eurosport, MotorTrend, and many more.
   
   Job Overview
   
   We are looking for a Software Development Manager to join our growing Growth team as the Growth engineering data lead. You would be a people manager who can manage a medium sized team of data analysts, data scientists and data engineers. An ideal candidate would be one who has worked at the intersection of data science, data analysis, engineering and product design. As an SDM, you will own the execution/roadmap/vision of the growth science team and you will lead your team on executing important deliverables of growth research and analysis, tooling and associated data pipelines.
   
   Responsibilities
   
   * Build growth related data pipelines and tools to support the research and analysis.
   * Partner with the data team to bring all relevant data from upstream to compute growth KPI's
   * Support the internal teams of Product Managers, machine learning leads, and Data Engineers in coming up with a systematic strategy for growth.
   * Lead the operational excellence charter for your team.
   * Work with data scientists and ML engineers to build a systematic strategy for doing evaluations of various growth strategies.
   * Work with other stakeholders to provide inputs on the growth charter.
   
   Qualifications
   
   Minimum Qualifications
   
   * Bachelor's or Masters' Degree in Mathematics, Computer Science, Statistics, or a similar field.
   * 3+ years of Management experience managing medium to large large teams.
   * 6+ years of data science or engineering experience
   * Good communication skills and ability to drive consensus amongst stakeholders and coordinate across multiple product teams
   
   Preferred Qualifications & Skills
   
   * Experience with Python, or R
   * Experience with SQL
   * Experience with industry wide analytical tools
   * Experience with big data, data lake reporting, snowflake reporting
   * Experience with DataBricks or other notebook based platforms (Jupyter, etc)

   Copy this example

   

5. Post your job

   To find analytical data miners for your business, try out a few different recruiting strategies:

   • Consider internal talent. One of the most important talent pools for any company is its current employees.
   • Ask for referrals. Reach out to friends, family members, and your current work to ask if they know any analytical data miners they would recommend.
   • Recruit at local colleges. Attend job fairs at local colleges to recruit entry-level analytical data miners with the right educational background.
   • Social media platforms. LinkedIn, Facebook, and Twitter have more than 3.5 billion users, and they're a great place for company branding and reaching potential job candidates.

   Post your job online:

   • Post your analytical data miner job on Zippia to find and recruit analytical data miner candidates who meet your exact specifications.
   • Use field-specific websites.
   • Post a job on free websites.

6. Interview candidates

   To successfully recruit analytical data miners, your first interview needs to engage with candidates to learn about their interest in the role and experience in the field. You can go into more detail about the company, the role, and the responsibilities during follow-up interviews.

   It's also good to ask about candidates' unique skills and talents to see if they match your ideal candidate profile. If you think a candidate is good enough for the next step, you can move on to the technical interview.

   Sometimes, it's not enough to interview analytical data miner candidates, so you can ask them to do a test project. If you are not a technical person and don't know what a test project should be, you can use these websites:

   • TestDome
   • CodeSignal
   • Testlify
   • BarRaiser
   • Coderbyte

   The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

7. Send a job offer and onboard your new analytical data miner

   Once you've decided on a perfect analytical data miner candidate, it's time to write an offer letter. In addition to salary, it should include benefits and perks available to the employee. Qualified candidates may be considered for other positions, so make sure your offer is competitive. Candidates may wish to negotiate. Once you've settled on the details, formalize your agreement with a contract.

   You should also follow up with applicants who don't get the job with an email letting them know that you've filled the position.

   To prepare for the new employee's start date, you can create an onboarding schedule and complete any necessary paperwork, such as employee action forms and onboarding documents like I-9 forms, benefits enrollment, and federal and state tax forms. Human Resources should also ensure that a new employee file is created.

8. Go through the hiring process checklist

   • Determine employee type (full-time, part-time, contractor, etc.)
   • Submit a job requisition form to the HR department
   • Define job responsibilities and requirements
   • Establish budget and timeline
   • Determine hiring decision makers for the role
   • Write job description
   • Post job on job boards, company website, etc.
   • Promote the job internally
   • Process applications through applicant tracking system
   • Review resumes and cover letters
   • Shortlist candidates for screening
   • Hold phone/virtual interview screening with first round of candidates
   • Conduct in-person interviews with top candidates from first round
   • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
   • Conduct background checks on top candidates
   • Check references of top candidates
   • Consult with HR and hiring decision makers on job offer specifics
   • Extend offer to top candidate(s)
   • Receive formal job offer acceptance and signed employment contract
   • Inform other candidates that the position has been filled
   • Set and communicate onboarding schedule to new hire(s)
   • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)

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