Аналитик данных / Data Analyst

Kaspersky • Bachelor's Degree • Python • SQL • Power BI • Tableau • 15 days ago
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Salary
≈ $20k – $44k per year (Estimated)
Location
Remote/Hybrid (Moscow, Russia)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
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Kaspersky

Kaspersky is a global cybersecurity and digital privacy enterprise headquartered in Moscow, Russia. Founded in 1997 by Eugene Kaspersky, Natalia Kaspersky, and Alexey De-Monderik, the company remains a privately held corporate entity led by CEO Eugene Kaspersky. Operating on a B2B enterprise software, B2C subscription licensing, threat intelligence service, and OEM technology integration model, Kaspersky develops antivirus, endpoint protection, endpoint detection and response (EDR), and industrial cybersecurity solutions.
kaspersky.ru • HQ: Moscow, Russia • Information Security • Cybersecurity • Endpoint Security • Est. 1997

Responsibilities:

  • Analyze sales operations and customer data flows to identify inefficiencies, risks, and opportunities for automation or control enhancement

  • Review and escalate suspicious activity in CRM or sales processes that may signal compliance risks

  • Extract and transform CRM data for reporting and investigation support

  • Provide timely ad-hoc reporting for business teams and management

  • Track and log ongoing investigations and compliance control checks

  • Stay updated on regulatory changes and incorporate updates into daily monitoring practices

Mandatory skills:

  • Bachelor’s or Master’s degree in Business, Data Science, Law, Compliance, or related fields
  • 3+ years of experience in data analysis, compliance, audit or risk management
  • Advanced Excel and strong SQL skills.
  • Experience with data quality tools
  • Familiarity with data visualization tools (e.g., Power BI, Tableau).
  • Experience with CRM platforms
  • Strong interpersonal skills with the ability to collaborate across functions

Preferred:

  • Experience conducting internal investigations.
  • Understanding of software industry compliance landscape.
  • Previous experience in Sales Enablement or Revenue Operations.
  • Skills with python (numpy, pandas, statsmodels, scipy)
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