At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. As one of Ukraine’s largest IT companies and a top employer recognized by Forbes, we’ve spent over 20 years delivering meaningful tech solutions. We proudly support diverse talent and military veterans, recognizing their unique skills and perspectives they bring to shaping the future.
Senior Data Analyst
Location
Ukraine
Posted
22 days ago
Salary
0
Seniority
Senior
No structured requirement data.
Job Description
Senior Data Analyst
Ciklum
Role Description Ciklum is looking for a Senior Data Analyst to join our team full-time in Ukraine. As a Senior Data Analyst, you will partner with Observability Engineers, ML Scientists, Data Engineering, and DevOps to turn raw telemetry into intelligence. 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. 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—e.g., 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. Qualifications - Bachelor’s in Data Science, Statistics, Mathematics is desirable. - 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. Requirements - Strong community: Work alongside top professionals in a friendly, open-door environment. - Growth focus: Take on large-scale projects with a global impact and expand your expertise. - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications. - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies. - Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice. - Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations.
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