Littal Haim
People Analytics, Workforce Data Strategy, Organizational Research
Tel-Aviv District, Israel
Summary
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Senior🎓
Top SchoolLittal Haim is a People Analytics and organizational research leader with over a decade advising HR and business leaders on data-driven workforce strategy from her Tel Aviv-based consultancy, Littalics. Blending 30+ years of multidisciplinary experience with formal training from Technion, MITx and Johns Hopkins, she turns quantitative and qualitative methods into actionable insights that improve performance, retention and HR tech roadmaps. Littal scouts work-tech ecosystems, helping startups and corporates spot trends, refine value propositions and access partnerships and capital—a role informed by hands-on projects with clients from Strauss and IKEA to Gloat and Johnson & Johnson. She also designs and teaches Israel’s early People Analytics programs and frequently speaks internationally on People, Data, Ethics and the Future of Work, combining scholarly rigor with a practitioner’s focus on implementation. An unexpected asset: she began her career developing therapeutic photography methods grounded in positive psychology, a perspective that sharpens her attention to human experience in data work.
10 years of coding experience
14 years of employment as a software developer
Johns Hopkins UniversityUniversity of California, IrvineCertificate Positive Psychology, Certificate Positive Psychology at Tel Aviv UniversityCertificate - MIT x Pro (1.8 Continuing Education Units) Data Science and Big Data Analytics: Making Data-Driven Decisions, Certificate - MIT x Pro (1.8 Continuing Education Units) Data Science and Big Data Analytics: Making Data-Driven Decisions at Massachusetts Institute of TechnologyMaster of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at Technion - Israel Institute of Technology
Github Skills (1)
r-package5
Github contributions (5)
Littal/Gender-Pay-Gap
Jun 2021 - Sep 2022
Contributions:11 commits, 10 pushes, 1 branch in 1 year 3 months
Littal/Predicting-Employee-Attrition
Dec 2019 - Aug 2021
R code used in the article "Predicting Employee Attrition: R vs DMWay" - https://www.littalshemerhaim.com/predicting-employee-attrition-r-vs-dmway/
Contributions:9 commits, 2 PRs, 8 pushes in 1 year 8 months
r-packagerstatsattritionemployee-attrition
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