BI Engineer at Logz.io

Tel Aviv-Yafo, Tel Aviv District, Israel

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

3+ years of experience in BI, Analytics, or Data Engineering roles in a tech/SaaS environment
Proven track record managing end-to-end analytics workflows
Advanced SQL skills and experience with large, complex datasets
Expertise with BI tools such as Tableau, Power BI, Quicksight, or Metabase
Familiarity with modern data stacks (Airflow, BigQuery, Snowflake, Redshift)
Ability to distill complex data into clear, actionable insights for both technical and non-technical audiences
Proactive, collaborative team player who thrives in a fast-paced, evolving environment
BS/BA in Computer Science, Mathematics, Industrial Engineering, Quantitative Economics, or equivalent
Strong communication skills in English
Nice to Haves: Experience designing and maintaining semantic data models for self-service analytics. Exposure to DevOps, observability, or cloud infrastructure domains

Responsibilities

Own and evolve Logz.io’s BI stack, data models, and reporting infrastructure to enable data-driven decision-making
Define and govern core business metrics to ensure consistency and reliability across all teams
Lead analyses across product, marketing, and revenue functions to identify growth opportunities and optimize performance
Build intuitive dashboards and champion analytics best practices for technical and non-technical stakeholders
Improve data quality, lineage, and governance as the company scales

Skills

SQL

Tableau

Power BI

Quicksight

Metabase

Airflow

BigQuery

Snowflake

Redshift

data modeling

analytics workflows

dashboards

data governance

Logz.io

Data analytics and observability platform

About Logz.io

Logz.io provides a platform for data analytics and observability, allowing businesses to analyze their data quickly and efficiently to enhance troubleshooting. The platform utilizes popular open-source monitoring tools like OpenSearch for log analytics, Prometheus for metric analytics, and OpenTelemetry and Jaeger for trace analytics. It caters to a diverse clientele, from small businesses to large corporations, including tech companies, financial institutions, and healthcare providers, all of whom require real-time data monitoring and analysis. Logz.io operates on a subscription or usage-based pricing model, generating revenue through high-performance log analytics, centralized metrics monitoring, and security event investigation. A key feature of the platform is its ability to filter out unnecessary data, which helps reduce costs and saves engineering time. Additionally, Logz.io is compatible with various cloud services, making it easy to integrate into existing systems.

Boston, MassachusettsHeadquarters

2014Year Founded

$119.9MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

51-200Employees

Risks

Increased competition from new entrants like Finout focusing on cloud cost management.

Complex AI-driven features may require significant user adaptation and training.

Departure of key financial personnel could disrupt financial operations and strategic planning.

Differentiation

Logz.io integrates AI-driven anomaly detection to enhance user experience and service reliability.

The platform combines ELK and Grafana for scalable machine data analytics and observability.

Logz.io offers a unified platform for log, metric, and trace analytics using open-source tools.

Upsides

The enterprise monitoring market is projected to reach $80.26 billion by 2029.

Logz.io's AI Agent simplifies monitoring, potentially reducing operational costs and improving reliability.

O11y GPT upgrade leverages generative AI for advanced insights and operational efficiency.

Land your dream remote job 3x faster with AI

Try Jobo Free