Curious about what it’s like to work at Cognyte?
At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!
You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.
These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.
Enjoy a hybrid schedule with office time at our R&D Hub in Bar Lev.
We are looking for a sharp, analytical, and detail-oriented Data Analyst with a strong finance background who enjoys investigating complex financial data problems, working with large transactional datasets, and digging deeper than the obvious answer.
As a Cognyter, you will:
- Analyze complex financial data using SQL to uncover trends, anomalies, and actionable insights.
- Investigate data quality issues and perform root cause analysis on discrepancies and reconciliation breaks.
- Build and validate matching, reconciliation, and data validation processes.
- Develop and maintain BI dashboards and reports for business stakeholders.
- Partner with Product, Engineering, and business teams to solve data-driven challenges and automate recurring analyses.
For this mission, you’ll need:
- 3+ years of experience as a Data Analyst working with financial, banking, fintech, payments, or similar datasets.
- Strong SQL skills and experience analyzing large, complex datasets.
- Solid understanding of financial concepts, including transactions, accounts, reconciliation, and key metrics.
- Experience with Python (Pandas) and BI/data visualization tools.
- Strong analytical, problem-solving, and communication skills, with the ability to leverage AI tools effectively and validate results.
Nice to Have
- Experience with AML, fraud, risk, financial crime, or reconciliation analytics.
- Familiarity with OSINT and third-party data sources.
- Experience with technologies such as ClickHouse, Trino, Kafka, Spark, or Iceberg.
- Experience with Apache Superset or similar BI platforms.
- Knowledge of data warehouses, ETL processes, and Git.
Skills Required
- 3+ years of experience as a Data Analyst working with financial, banking, fintech, payments, or similar datasets
- Strong SQL skills and experience analyzing large, complex datasets
- Solid understanding of financial concepts, including transactions, accounts, reconciliation, and key metrics
- Experience with Python (Pandas)
- Experience with BI/data visualization tools and developing BI dashboards/reports
- Strong analytical, problem-solving, and communication skills with ability to leverage AI tools and validate results
- Experience with AML, fraud, risk, financial crime, or reconciliation analytics
- Familiarity with OSINT and third-party data sources
- Experience with ClickHouse, Trino, Kafka, Spark, or Iceberg
- Experience with Apache Superset or similar BI platforms
- Knowledge of data warehouses, ETL processes, and Git
Cognyte Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognyte and has not been reviewed or approved by Cognyte.
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Healthcare Strength — Health coverage spans medical, dental, vision, disability, life insurance, mental‑health support, and FSA options. Coverage is generally portrayed as solid within a well‑rounded package.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, floating holidays, wellness days, and paid volunteer time. These elements indicate a comprehensive time‑off offering.
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Wellbeing & Lifestyle Benefits — Work setup includes flexible schedules and hybrid/remote options highlighted across public materials. Flexibility is emphasized alongside the core benefits offering.
Cognyte Insights
What We Do
Cognyte is a leading software-driven technology company focused on solutions for data processing and investigative analytics that allow customers to generate Actionable Intelligence for a Safer World™. We empower law enforcement, national security, national and military intelligence agencies, and other organizations to navigate an increasingly complex threat landscape with greater speed, accuracy, and precision.
Why Work With Us
Driven by curiosity and a purpose with real-world impact, we place innovation at the core as we tackle complex, fascinating challenges where bold questions forge real breakthroughs.
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