דרושים » דאטה » BI Developer AWS QuickSight

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.

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.
About Us
What's new? EVERYTHING!
We enable enterprises to unlock the full potential of voice. From traditional calling to next-generation conversational AI, we transform communication into a powerful, strategic differentiator.
With proven voice leadership and advanced AI capabilities, we help global organizations deploy voice solutions that work reliably at scale, integrate seamlessly with existing systems, and deliver measurable business impact.
Fueled by a culture built on innovation, collaboration, and trust, we don't just push boundaries - we break them.
We turn the unimaginable into real, scalable solutions that keep organizations ahead, connected, and ready for whatever comes next.
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.

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! We are looking for a motivated and business-oriented Data Engineer to join our global Data & BI team. In this role, you will design, develop, and maintain modern data pipelines and data solutions that support critical business processes across the organization. You will work closely with global stakeholders, integrate data from multiple sources, ensure data quality and reliability, and contribute to modern data and AI initiatives. (*Please note, the internal title for this role is Senior Data & BI Specialist, Business Technology.)

Responsibilities:

* Design, build, and maintain scalable ETL/ELT pipelines
* Develop and optimize complex SQL queries and data transformation processes
* Integrate data from internal and external systems, including APIs, databases, and third-party platforms
* Own data quality, monitoring, reliability, and governance processes
* Investigate and resolve data-related issues while supporting business users
* Take ownership of data workflows from design and development through production support
* Collaborate with global stakeholders to understand business requirements, analyze data discrepancies, and deliver reliable data solutions
* Design, develop, and maintain AI-powered data solutions that support business decision-making and operational excellence
* Build and implement monitoring capabilities (e.g. anomaly detection, forecasting, etc.) using modern AI capabilities
* Partner with business teams to identify opportunities for applying AI and LLM-based solutions to real-world business challenges
* Develop and operationalize AI workflows and data products from proof-of-concept through production deployment

City:
Petah Tikva

our companys data & AI Division is looking for a data Engineer to join a leading project! We are looking for a talented data Engineer with a passion for building modern cloud-based data platforms. In this role, you will design and develop scalable data pipelines, build and optimize data warehouse solutions, and ensure the delivery of high-quality, reliable data for analytics and business intelligence. You will work closely with BI developers and business stakeholders to transform complex data into trusted, analytics-ready assets while leveraging modern AWS technologies and AI-powered development tools. Key Responsibilities
* Design and build data warehouse tables and data models, including source-to-target (S2T) mappings based on a layered architecture.
* Develop ETL /ELT processes to extract, transform, cleanse, and migrate data from Oracle source systems into Amazon Redshift.
* Build and maintain automated data pipelines for scheduled data ingestion, validation, reconciliation, and ongoing refresh processes.
* Analyze and re-implement existing procedures and business logic, including complex calculations, as part of cloud migration initiatives.
* Develop outbound data interfaces to support integrations with external systems and public data platforms.
* Implement automated data quality and reconciliation processes while optimizing pipeline performance and cost efficiency.
* Leverage AI tools to accelerate SQL development, technical documentation, and data pipeline implementation.

data & AI Division is looking for a Senior BI & data Engineer Developer to join a leading project! We are looking for an experienced BI & data professional with a strong technical background and a passion for delivering end-to-end data solutions. In this role, you will lead the design and development of modern data platforms, drive technical excellence, manage client relationships, and play a key role in delivering high-impact BI and data engineering projects. Key Responsibilities
* Identify project risks and dependencies early, proactively prevent scope creep, and manage changes against the agreed project scope.
* Stay hands-on by designing the DWH layer and data models while contributing to complex development tasks and performance optimization.
* Lead the adoption of AI tools across the team to improve analysis, SQL development, and technical documentation.
* Manage client relationships, project scope, timelines, and delivery plans, ensuring successful execution from planning through implementation.

We are seeking a Senior BI Engineer to serve as the primary interface and strategic analytics partner between Data Engineering / DWH teams, management, and business leaders. In this strategic role, you will work closely with leadership and business partners to translate business objectives into actionable data solutions, establish analytics standards and best practices, and lead experimentation across core business processes. You will also plan, prioritize, and manage analytics initiatives and roadmaps, ensuring the timely delivery of insights and solutions that drive informed decision-making across Marketing, Sales, Finance, Support, and Customer Success.

Key Responsibilities

Serve as the primary interface and analytics partner between Data Engineering / DWH teams and business stakeholders
Translate business needs into analytics requirements, specifications, roadmaps, and prioritized backlogs
Collaborate with Data Engineers on DWH requirements, data models, and pipelines
Plan, coordinate, and track analytics initiatives and projects to ensure timely delivery and alignment with business objectives
Support stakeholders in understanding, interpreting, and using ingested and production data
Define and own analytics standards, metrics, and best practices across the company
Design, execute, and analyze experiments to optimize core business processes
Define dashboard requirements and deliver impactful dashboards and insights
Work with Systems, Product, and R&D teams to map data sources, address data gaps, and improve data quality

Were looking for a Data Engineer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. Youll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.

You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.

In this role you will
Architect our entire DBT project and data warehouse structure completely from scratch-a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data
You will be one of the pioneers of a new team - passion & energy is required

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 engineeing 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 Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform

What youll do:

Own the analytics domain for key products and strategic initiatives.
Analyze large-scale operational and product datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs, measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Utilize modern AI-assisted development tools (such as Claude Code) to accelerate analysis, automation, and development workflows.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

Serve as primary point of contact for data analysis initiatives, esp. for Finance and Commercial related data. Gather requirements from stakeholders across the company and translate them into actionable specifications for dashboards and reports. Design, develop, and maintain reliable and scalable dashboards, visualizations, and data solutions that support decision-making. Author high-quality design documents for reports and semantic layers. Establish and enforce robust data governance framework to ensure data integrity, data privacy, and compliance Partner closely with stakeholders to review data on a regular basis and surface actionable insights. Lead and mentor business data analysts across multiple units, ensuring consistent methodologies and best practices. Monitor and improve data quality, resolving discrepancies across reporting systems. Collaborate with IT, data Engineering, and business teams to integrate and optimize data sources for reporting solutions. Stay current with emerging data technologies and methodologies Promote a data -driven culture by driving analytics literacy and recommending process and tool improvements. Contribute to the data strategy and roadmap.