דרושים » מערכות מידע » Junior BI Developer

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

Our company is a global pharma company providing access to highly innovative therapies to patients in international markets.
Our company commercializes highly innovative therapies across international markets, helping to save and improve the lives of patients suffering from the most challenging diseases.
Our company has deep expertise in local regulatory and market access know-how and uncompromising compliance excellence.
It offers an affiliate-like partnership and tailored solutions for country-specific and regional commercialization, enabling emerging biotech companies to navigate local complexities and expand their reach to patients in international markets.
Our company is rapidly growing in the international markets, backed by 25 years of established operations in Israel, global infrastructure, and a partnership network.
Our company is headquartered in Israel, with its international markets HQ in Switzerland and commercial hubs across the Baltics, Central and Eastern Europe, the Balkans, Greece, and Canada.
We seek a highly skilled and experienced Data and Business Intelligence (BI) Manager to join our global pharmaceutical company.
The ideal candidate will lead the companys data management strategy, develop and maintain data warehousing, business intelligence, corporate performance management (CPM) initiatives, and project management, reporting directly to the Vice President of Business Technology.
Responsibilities:
Develop and Implement Data Strategy: Create a robust data management strategy aligned with business goals, ensuring data integrity, security, and accessibility.
Lead Data Infrastructure: Oversee the design, development, and maintenance of the data infrastructure, focusing on scalability and reliability.
Manage Data Experts: Provide leadership and mentorship to a team of data experts and BI analysts, driving innovation and excellence.
Collaborate for Insights: Work with cross-functional teams to identify data-driven insights and trends that support strategic decision-making and business growth.
Optimize BI Tools: Implement and optimize BI and CPM tools (e.g., Qlikview, Power BI) for self-service analytics and reporting capabilities.
Track KPIs: Define and track key performance indicators (KPIs) to measure data management and BI effectiveness.
Project Management: Lead and manage data and BI projects, ensuring successful execution and alignment with business goals.
Stay Current: Keep up with industry trends, best practices, and emerging data management and BI technologies.
Promote Data Literacy: Foster a data-driven culture through training and workshops.
Adaptability: Exhibit agility in responding to changing business needs and adjusting strategies accordingly.
Leading a team of Data & BI experts.

We are looking for someone who will be responsible for developing and implementing data pipelines and BI solutions using systems such as Tableau, Athena, DBT, and AirByte.
As a BI developer, you will be working with the different departments in the organization to translate business needs into data models, and then create meaningful data visualizations to better communicate data insights to stakeholders and support decision-making.
**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**

Were a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which were responsible. We work in a distributed, remote-friendly, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life. As a remote employee, you connect to your co-workers mostly via Slack and Zoom. In this setting your ability to work unsupervised, communicate asynchronously, and take initiative in maintaining lines of communication is crucial.

What You'll Do:

Develop ETL jobs to gather data from multiple sources and provide insights into various product areas

Building data warehouses where large amounts of metrics and data will be stored

Interacting with many product groups within the organization to collect key metrics via APIs, Kafka integrations or direct data access

Participation in configuring and receiving uptime alerts related to the services you control.

Keeping services up and running in a healthy state.

Supersonic is seeking an experienced, data -driven and highly motivated BI Developer to join our data team. A strong candidate is an independent, analytically minded individual with strong data modeling and data engineering skills. Come and help us turn billions of daily events into critical information, business insights and graphical dashboards that will help to make impact decisions on our business
What You'll Be Doing
Design, manage and maintain analytics products and BI solutions for the entire group
Work with a variety of relational and non-relational databases (Redshift, MySQL and others)
Develop ETL processes using different tools (Airflow, and others)
Design and develop data visualization (Tableau, redash and others)
Monitor the integrity and validity of the data reported

We are seeking a Sr. Data Engineer - Analytics.
We develop a platform that collects data from dozens of sources and uses AI and data science to extract insights for making fast and optimal business decisions.
We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.
Our recently refurbished offices are in Tel-Aviv and we employ a hybrid work from home model.
On a typical day, you will:
Use Python and SQL to develop, scale, and optimize advanced data pipelines.
Merge multiple data sources into a clean, unified, and integrated single source of truth.
Ensure data integrity, freshness, and best practices in our growing data lake.
Manage and optimize data infrastructure, ensuring high performance, security, and reliability.
Collaborate with stakeholders across the company and support business insight requests.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are looking for a Data Analyst Team Leader.
As a Data Analyst Team Leader, youll lead a team of analysts in constructing our next-gen data infrastructure, playing a crucial role in company decisions.
Youll collaborate with various stakeholders and departments, including product, business development, marketing, finance, customer support, and more.
You'll discover key insights from a range of data sources, shedding light on user behavior, feature adoption, operational efficiency, and other metrics and trends.
In this role, your mission will be to gain a profound understanding of the business, transforming raw data into actionable intelligence to guide our data-driven decision-making at every step of the way.
You'll simultaneously build and mentor our analytics team, supporting their growth and skill development.
This isn't just a job; it's a thrilling journey that will steer us toward unprecedented success!
Responsibilities:
Manage a team of 4-5 data analysts
Lead the implementation and utilization of Google Analytics within the organization
Conduct analysis on large, complex data sets reflecting user behavior, ensuring data quality, and maintaining high standards of communication and delivery
Look beyond the numbers to inform, influence, support, and execute our business decisions
Address complex challenges concurrently in a large-scale production system environment
Offer actionable recommendations and conclusions derived from data to shape our features and product roadmap
Proactively strive to enhance and refine your team's performance by supporting their growth and strengthening their skill set

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.