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Salary
$23k – $44k per year (Estimated)
Location
In office (Moscow)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
Kaspersky is a cybersecurity company founded in 1997 by Eugene Kaspersky, Natalya Kaspersky and Alexey De-Monderik, and headquartered in Moscow with a global research network. It develops endpoint protection, extended detection and response, threat intelligence and industrial control system security for consumers, businesses and critical infrastructure operators in nearly two hundred countries. Its Global Research and Analysis Team is widely credited with uncovering major state-linked malware campaigns, and the company remains privately held, publishing regular transparency reports and operating data centres in Switzerland to address trust concerns in Western markets.

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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