לוח משרות דרושים מומחה BI

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

As a Data and BI Analyst at our company, you will own the full analytics lifecycle- partnering with stakeholders to define business questions, exploring and modeling data, building scalable BI assets, and delivering clear insights that influence decisions.
You will work within the BI function to ensure consistent metrics, reliable pipelines, and high-quality dashboards while collaborating closely with teams across Product, R&D, Customer Success, Sales, Finance, and Operations.
This role is ideal for someone who is both highly analytical and business-oriented, with a passion for transforming complex data into compelling stories and actionable recommendations.
What will you do?
Analytics and Insights
Translate business needs into analytical frameworks, uncover trends, and deliver insights that directly drive strategic decisions.
Design, build, and maintain dashboards, reports, and KPI frameworks for recurring revenue metrics (ARR, expansion, churn), product usage, operational efficiency, and customer health.
Build clear, concise narratives- turning complex findings into insights stakeholders can act on immediately.
Conduct deep-dive exploratory analyses to identify opportunities, risks, anomalies, and patterns that influence product direction, GTM execution, and operational improvements.
Data Modeling and Data Quality
Contribute to the development and improvement of data models in the DWH, ensuring accuracy, performance, and consistency.
Collaborate with BI Engineers on dbt-based data transformations, metric standardization, and documentation.
Cross-Functional Collabration
Partner with Product, R&D, Customer Success, Finance, Sales, and Marketing to define KPIs, measurement strategies, and success metrics.
Work closely with operational teams to translate events or issues into their business impact and provide actionable recommendations.

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build next-generation data stack.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals

Were looking for an BI Developer to help take digital adoption and to the next level.

As a BI Developer, you will have a major role in scaling our existing data operations and building ETLs & Automations that turn raw data into business insights. You will work regularly with our development and analyst teams while coming up with your own creative BI & data solutions. You will work closely with the business departments to turn business questions to ETL's, data-models & automations.

**This is a temporary role for at least 6 months (maternity leave replacement).

What will you actually be doing?
Own the transformation process from turning raw data into analytical insights.

Design, implement and maintain ETLs & data Automations to enhance business analysis capabilities.

Proactively identify gaps in data consumption and define processes to complete them.

Translate business needs into data solutions.

abra is seeking for an Credit Data Repository Developer The position involves developing and maintaining regulatory reporting processes, working with ETL processes, data analysis, and implementing decision-support solutions. The role includes working with large volumes of data and core enterprise systems. Full-time position, Sunday–Thursday, located in Lod.

We are looking for a hands-on BI & Planning Systems Specialist with strong ownership mindset to ensure these platforms remain stable, scalable, and business-aligned over time.

This role owns the day-to-day operation, optimization, and continuous improvement of Medisons Planning and BI systems. It combines hands-on system work, cross-regional coordination, and close partnership with Finance and business stakeholders. The role reports into the Data & BI organization and serves as a global coordinating owner across regions.

This role goes beyond system support. You will ensure that Planning and BI platforms are trusted, scalable, and consistently used across regions. Your work will directly impact forecast accuracy, decision-making quality, and the organizations ability to operate as one global company.

We operate in a fast-paced, global environment that values ownership, clarity, and impact. We expect systems to work, data to be trusted, and collaboration to be direct and pragmatic. This role reports directly into the Data & BI organization, with no formal reporting line to Finance.

** Please note that the internal job title within the organization is BI Specialist.

Responsibilities

System Landscape & Scope
Owns and operates enterprise Planning Systems (Anaplan, IBM Planning Analytics, Jedox).
Owns BI consumption platforms (QlikSense).
Partners with the Data team, which owns data engineering, DWH development, and core integrations.

Planning Systems
End‑to‑end operational ownership of planning platforms.
Ongoing model maintenance, enhancements, validation, and performance optimization.
Drives continuous improvement of planning processes in collaboration with Finance, FP&A, Planning, and Commercial teams.
Ensures system reliability, scalability, and business adoption.

BI Platforms
Owns definition and requirements for BI consumption layers, dashboards, and KPIs.
Ensures consistency, usability, and standardized BI experiences across regions.
Collaborates closely with Data Engineering on semantic layers and analytical models.
Acts as the business-facing owner for BI usage and adoption.

Global Coordination & Enablement
Acts as global coordinating owner across regions and business units.
Aligns standards, priorities, and execution between global and local teams.
Drives user enablement including access management, training, and documentation.
Serves as the primary point of escalation for system-related operational topics.

Were looking for a talented BI Engineer to join our BI team and spread the power of our company. The BI team builds the analytics foundation that powers our company's product strategy and global business growth. We are looking for versatile builders and independent thinkers who can translate complex product domains into scalable data models and AI-driven workflows. If you are a logical thinker with a passion for creating high-impact data products and redefining how organizations interact with data, this role is for you.
WHAT YOULL DO
Lead analytics initiatives end-to-end: requirement gathering → metric definition → data modeling → dashboard delivery.
Partner with Product Managers to define KPIs and translate complex business needs into scalable data models in dbt and BigQuery.
Drive the evolution of BI infrastructure at our company, building reusable models and standardized metrics to enable scalable self-service analytics.
Lead AI-powered initiatives and automation to redefine data discoverability and improve company-wide efficiency.
Own data observability and governance, architecting a scalable BI platform to deliver high-impact data products.
Independently lead cross-functional projects, managing complex stakeholder relationships with a high-ownership approach.