Senior Data Analyst

Описание

Description

Ciklum is looking for a Senior Data Analyst to join our team full-time in Ukraine.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Data Analyst, become a part of our Micro-Segmentation AI/ML Platform team.

 In this role, you will lead data analysis efforts—ensuring data quality, cataloging, and governance—while delivering actionable insights that drive strategic decisions in network security and segmentation. We’re a dynamic team building the next-generation micro-segmentation platform at the intersection of AI/ML and network security. Our solution helps enterprises automatically classify, monitor, and enforce fine-grained policies across millions of flows—reducing attack surfaces and accelerating incident response.

What Are We Looking For?

An experienced data professional who excels in analyzing production data for quality and insight, driving improvements and informing strategic decisions. You’ll partner with Observability Engineers, ML Scientists, Data Engineering, and DevOps to turn raw telemetry into intelligence.

Responsibilities

Business Intelligence & Reporting: Collaborate with stakeholders (security, product, operations) to define key metrics and reporting requirements Design, build, and maintain BI dashboards that surface ingestion health, policy effectiveness, and segmentation drift Continuously refine reports and visualizations (Grafana, Looker, Tableau, or Power BI) to meet evolving needs Data Analysis & Insights: Analyze large-scale flow logs, policy-violation records, and asset inventories to uncover trends and anomalies Lead deep-dive investigations—., correlating configuration changes to incident rates or unexpected segmentation gaps Ensure all ETL pipelines (Airflow-orchestrated Spark jobs) deliver accurate, timely data Data Quality & Governance: Define and enforce data-quality rules (schema validation, de-duplication, anomaly detection) Maintain a comprehensive data catalog with lineage tracking Partner with Data Engineering to automate quality checks and metadata capture Collaboration & Communication: Present complex analyses in clear, concise reports to both technical and non- technical audiences

Requirements

Bachelor’s in Data Science, Statistics, Mathematics 5+ years in data analysis or BI—ideally within network security, cloud operations, or a SOC environment Very strong proficiency with SQL, including complex joins, window functions, CTEs, and performance tuning Deep experience with Spark (PySpark/Scala) and Python data libraries (pandas, NumPy) Comfortable building and maintaining ETL pipelines (Airflow, Bash, Python) Hands-on with data visualization tools (Tableau, Power BI, Looker, Grafana) and dashboard best practices Strong statistical analysis skills: hypothesis testing, regression, clustering, anomaly detection Experience defining and tracking KPIs and SLAs; able to translate business questions into measurable metrics Good understanding of data lake and lakehouse concepts, partitioning, and performant storage formats (Parquet, Delta) Familiarity with data catalog/governance platforms (Apache Atlas, DataHub) and Git for schema/version control Skilled in data profiling, cleansing, and enrichment techniques to ensure high – quality inputs Strong problem-solving mindset, attention to detail, and ability to work under ambiguity Exceptional communication skills—able to translate complex data into actionable business insights in English

What's in it for you

A unique working environment where you communicate and work directly with the client Become a part of the most talented and experienced cybersecurity and data center experts in the field Great opportunity to develop yourself professionally and personally by joining a hell-of-a-ride, from a small startup to a market, Billion-Dollar, leader Competitive salary