Analyst activity for function roles (Функциональный аналитик деятельности)
Position description
A person able to work with micro-roles: extract function roles (positions) in the activity and translate them into 'skills and micro-roles language', purposely itemize micro-roles, evaluate people according to micro-roles concept
Человек, умеющий работать с микроролями, разбивать деятельность на функциональные позиции и переводить их в язык компетенций и микроролей, расписывать микророли под функциональные задачи, выставлять оценки по микроролям.
Rating
This rating was calculated and cached 13 minutes ago.
| Name | Match |
|---|
 Yekaterina Chigaleychik (iktp) St. Petersburg Credited based on the position match | 100% |
 Mikha Zabelin (zabelin) St. Petersburg Credited based on the position match | 94% |
 Alena Surikova (domsredny) St. Petersburg, 6th level–St. Petersburg Credited based on the position match | 94% |
 Aleksey Doilnitsyn (doilnitsyn) St. Petersburg Credited based on the position match | 93% |
 Kuzya (Oleg) Surikov (Kuzz) St. Petersburg, 4th level–St. Petersburg Credited based on the position match | 93% |
 Agni Avolokos (agni) St. Petersburg, 4th level–St. Petersburg Credited based on the position match | 91% |
 Oleg Muromtsev (omur) St. Petersburg, 6th level–St. Petersburg Credited based on the position match | 90% |
 Tatyana Ganf (tatka) St. Petersburg Credited based on the position match | 87% |
 Alina Vinnichenko (linkavini) St. Petersburg Credited based on the position match | 86% |
 Polina Orlova (polinaorlova024) St. Petersburg Credited based on the position match | 85% |
 Vlada Lvova (vladka) St. Petersburg Credited based on the position match | 82% |
 Li Shevtsova (lie-yatrie) St. Petersburg Credited based on the position match | 81% |
 Tatyana Vasilich (Vasili4) St. Petersburg | 79% |
 Yaroslav Selivanov (Yaroslav) Moscow | 74% |
 Dmitry Shalamov (elk) St. Petersburg | 68% |
 Lyubov Myachina (lubovDulsineja) St. Petersburg | 65% |
 Oksana Glazunova (GlazunovaOV) NovGU_UNTI | 58% |
 Arina Shishko-Kravchenko (ashishkokravchenko) Moscow | 52% |
 Yakov Goldshteyn (9wka) St. Petersburg | 52% |
 Timofey Lakshin (Sertyk) Moscow | 50% |
Grigory Kushner (Hypogriph) [Soling] | 45% |
 Yana Aleksandrovna (yen) St. Petersburg | 45% |
 Yaroslav Nevsky (TongueSnake) Moscow | 43% |
 Ptitsa Ponkratova (Pti) Moscow, 1st level–Moscow | 43% |
 Vanya Ninenko (Vanya) St. Petersburg | 43% |
 Danila Kozharinov (danilaki) Moscow | 42% |
 Vika Shvetsova (Vika11) St. Petersburg | 39% |
 Lika Chekalova (live10) St. Petersburg | 36% |
 Rayli Chayka (SofiLessi) St. Petersburg, 1st level–St. Petersburg | 31% |
 Ivan Tyulenev (ITe) Moscow | 30% |
Mikhail Kozharinov (miha) [Soling] | 30% |
 Mariya Rodionova (Kisa) Moscow | 27% |
 Mark Chernik (Nzi) Moscow | 25% |
 Savely Budko (Sakvel) Moscow | 21% |
 Sinisa Rudan (sinisa-rudan) Belgrade (Serbia) | 20% |
 Sasa Rudan Kelbert (mprinc) Oslo (Norway) | 14% |
 Kirill Malinin (kirmalinin) Moscow | 12% |
Ilya Alabichev (irar13ada) Moscow | 10% |
 Dmitry Kopytine (dm9) St. Petersburg | 9% |
 Alina Absalamova (aabsalamova) Riga | 8% |
 Aleksandr Starkov (Ris-Karlosona) St. Petersburg | 5% |
 Tatsiana Hlebik (TatsianaHlebik) Minsk (Belarus) | 5% |
 Yuliya Belokhvostikova (juliabel) Moscow | 5% |
 Tanya Singh (Ts201294) New Delhi (India) | 5% |
 Minja Kovačević (Minja95) Belgrade (Serbia) | 4% |
Boris Golovatsky (bg13) Moscow | 4% |
Mikhail Balu (Kozinetc) Kazakhstan | 4% |
Tamara Nikolic (Tamara) Belgrade (Serbia) | 4% |
Andrey Ponomarev (Werd) Moscow | 4% |
 Daniil Anokhin (79217416056) St. Petersburg, 1st level–St. Petersburg | 3% |
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