לוח משרות דרושים Business Intelligence

Medison offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! Medison is operating and scaling a global ecosystem of Planning and BI platforms that support critical financial and business decisions across regions. 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 Medison’s 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. At Medison, 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 organization’s ability to operate as one global company. Medison operates 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

City:
Petah Tikva

our data & AI Division is looking for a talented Qlik Developer to join our growing team. This role combines Qlik development, SQL, ETL, and data analysis, with a strong emphasis on business understanding and delivering actionable insights that support strategic decision-making. Responsibilities:
* Develop and maintain Qlik Sense / Qlik Cloud dashboards, reports, and data models.
* Design and implement ETL processes to extract, transform, and prepare data for analysis.
* Build automated reports and monitoring solutions to support business operations.
* Perform business analysis by understanding organizational needs and translating business requirements into data solutions.
* Analyze and model business processes to provide insights across domains such as Sales, Inventory, and Finance.
* Collaborate with business stakeholders and technical teams to deliver data -driven solutions.

Were looking for a Power BI Developer to design, build, and maintain business-critical dashboards and analytics solutions across our SaaS products and internal operations.

This role is focused on Power BI, DAX, and business-facing analytics. Youll work closely with Product, Finance, Sales, and Operations teams to translate business questions into clear metrics, dashboards, and insights that drive decision-making.

Your mission



Design, build, and maintain Power BI dashboards and reports
Develop advanced DAX measures and calculations
Build optimized data models and reusable datasets
Ensure performance, accuracy, and scalability of reports
Partner with stakeholders to understand reporting and analytics needs
Translate business requirements into KPIs and actionable insights
Analyze customer and product data to identify trends and opportunities
Create tailored dashboard views for different personas (executives, product, sales)
Work with SQL-based data sources and collaborate with data engineers
Validate data accuracy and consistency across sources
Present insights in a clear, concise, and compelling way

About LiveU LiveU is the world leader in live streaming, providing high-quality, low-latency live broadcast from anywhere, anytime. We are looking for a BI Developer to join our MIS BI team and play a key role in building the data infrastructure that powers our business decisions. Role Overview As a BI Developer at LiveU, you will be a key member of the MIS BI team, responsible for designing, building, and maintaining scalable data solutions that enable data-driven decision-making across the organization. This is a hands-on, end-to-end role that goes beyond traditional frontend BI systems. You will take ownership of projects across the full data lifecycle — from source systems and backend integrations, through ETL/ELT pipelines and data transformations, all the way to dashboards, reporting layers, and user-facing BI applications. We are looking for someone who brings an AI-first mindset and leverages AI tools to improve development efficiency, automation, and data quality. We are looking for someone who combines strong technical capabilities with a business-oriented mindset. The role involves close collaboration with stakeholders across the company, including gathering requirements, leading discussions, planning projects, translating business needs into technical solutions, and driving initiatives from concept to delivery.

We are expanding, seeking an experienced BI developer for challenging work in the world of Big Data.
Design, develop & maintain the BIG DATA platform (Vertica).
Design, develop & maintain the BIG DATA infrastructure (development, monitoring, installation, integration, etc)
Be part of the dynamic and agile core DBA team.
Collaborate with field engineers for the deployment phases.
Work on major, challenging projects with enterprise and startup customers.
Job location - Herzliya, Israel.

f data, for you, is more than just numbers - if its a way to understand people, spot opportunities, and make real impact - were looking for you.

we are a fast-growing fintech company, and were looking for a Data Analyst to join us, dive deep into data, and make smart decisions that move the business forward.

What youll do:
Design and implement smart data controls to ensure accuracy of regulatory reporting
Own validation processes for regulatory data, including reporting to the Bank of Israel
Identify data gaps, anomalies, and inconsistencies-and drive solutions
Build dashboards and monitoring tools to track data quality and control
Collaborate with Data, Finance, Risk, Product, and teams to ensure alignment and compliance

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.