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Senior Technical Assessor/Interviewer - Data Analytics

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s or Master’s degree in relevant field, 7+ years experience in data analytics.

Key responsabilities:

  • Design and conduct technical interviews and assessments
  • Develop assessment criteria and questions, collaborate with teams
  • Provide feedback, stay updated on analytics trends
  • Mentor junior assessors, facilitate technical workshops
  • Ensure exceptional candidate experience
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Talpro - Leaders in Technology Hiring Human Resources, Staffing & Recruiting SME https://www.talproindia.com/
51 - 200 Employees
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Job description

This is a remote position.

Role Overview:

We are seeking a highly skilled and experienced Senior Technical Assessor/Interviewer specializing in Data Analytics to join our team. This advanced role involves evaluating technical candidates for various senior-level data analytics positions, ensuring they meet the highest standards of technical proficiency, problem-solving abilities, and cultural fit. The ideal candidate will possess a deep expertise in data analytics methodologies, tools, and practices, along with a strong ability to mentor and guide the technical assessment process.

Responsibilities:

  • Design and conduct comprehensive technical interviews and assessments for senior-level data analytics positions, ensuring a thorough evaluation of candidates technical skills, experience, and cultural fit.
  • Develop and continuously update advanced assessment criteria and interview questions to reflect the latest data analytics trends, tools, and best practices.
  • Collaborate closely with the HR and data analytics teams to understand complex role requirements, desired skills, and team dynamics, tailoring assessments accordingly.
  • Provide detailed, actionable feedback and recommendations to the hiring team, playing a key role in informing hiring decisions.
  • Stay abreast of the latest advancements in data analytics technologies, tools, and practices, ensuring that assessments remain current and relevant.
  • Facilitate in-depth technical workshops or discussions to evaluate candidates’ hands-on skills in a collaborative environment.
  • Mentor and train junior technical assessors/interviewers, providing guidance on best practices and interview techniques.
  • Ensure an exceptional candidate experience throughout the technical assessment process.

Required Skills and Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 7+ years of experience in data analytics roles, with at least 5 years specializing in senior data analytics positions.
  • Deep understanding of statistical analysis, data visualization, and data mining techniques.
  • Proficiency with programming languages and data analytics tools such as Python, R, SQL, Pandas, NumPy, and Scikit-learn.
  • Experience with data visualization tools such as Tableau, Power BI, Matplotlib, and Seaborn.
  • Familiarity with big data technologies such as Hadoop, Spark, and Hive.
  • Strong analytical skills and the ability to evaluate complex technical skills and problem-solving abilities.
  • Excellent communication and interpersonal skills, with a proven ability to provide constructive feedback and mentor others.
  • Extensive experience designing advanced technical assessments and conducting technical interviews.
  • Up-to-date knowledge of the latest data analytics trends and best practices.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

  • Advanced certifications in data analytics or related fields.
  • Significant experience in a technical hiring or technical assessment role.
  • Leadership or managerial experience in a data analytics team, with a proven track record of mentoring and guiding team members.
  • Experience contributing to open-source data analytics projects or communities.
  • Familiarity with data engineering and data pipeline technologies.
  • Knowledge of performance optimization techniques for data models and algorithms.

Mandatory Technical Key Skills:

Python, R, SQL, Pandas, NumPy, Scikit-learn, Tableau, Power BI, Matplotlib, Seaborn, Hadoop, Spark, Hive, Git, GitHub, GitLab, Jenkins, CI/CD, Agile, Scrum.

Data Engineer
IT Services & Consulting
Data Science & Analytics
Part Time, Freelance/Homebased
Data Science & Machine Learning


Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving
  • Teamwork
  • Mentorship
  • Analytical Skills
  • Verbal Communication Skills

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