דרושים » תוכנה » BI & Qlik Developer

We are seeking an analytical and tech-savvy Senior Data Analyst / BI Developer to join our team, focusing on our B2B products and content cost analytics. You will bridge the gap between data and business for our publisher-facing solutions. In this role, youll develop Business Intelligence solutions and insights that drive informed decisions for both Minute Media and our content partners. This includes building dashboards to track B2B product performance and analyzing content costs to help optimize our partnerships. If you enjoy turning data into actionable business intelligence and thrive in a fast-paced media environment, wed love to meet you.

Content Cost Analytics & Reporting

Analyze and report on content costs (licensing, contributors) to assess impact on revenue, margins, and content ROI, and integrate these metrics into centralized data models and the Single Source of Truth in partnership with Data Engineering.
Automate monthly and quarterly content cost reporting by replacing manual spreadsheets with dynamic Looker dashboards, providing Finance and Partnerships teams with real-time visibility into spend vs. returns.
BI Development for Partner Solutions

Design and build scalable data sources, models, and feeds to support B2B analytics, including partner-facing reporting in Voltax for content performance and earnings.
Develop and maintain intuitive Looker dashboards tracking key B2B KPIs (e.g., video usage, syndication metrics, revenue share), ensuring data accuracy, consistency, and stakeholder trust.
Insights & Collaboration

Collaborate cross-functionally with Product, Finance, and Partnerships to translate business questions into data analysis and actionable insights.
Identify trends and optimization opportunities in partner usage and content costs, clearly communicating findings internally and occasionally supporting external partner reporting, enablement, and training.
Proactively improve analytics offerings by staying current on BI and digital media trends and recommending new metrics or visualizations.

We're seeking a proactive Product Analyst to join our fast paced data group. This role requires a sharp analytical mind and a strong technical skill set to translate complex product and business problems into actionable insights
Responsibilities:
Partner with cross-functional teams including Business stakeholders, Product, Data Science, and Engineering to inform, influence, support, and execute product strategy
Design, execute, and analyze A/B tests to evaluate the impact of new features and product changes, driving iterative product improvement
Collaborate closely with the Data Science team to analyze Machine Learning models' performance and to suggest potential new features that can provide additional value
Own the data, understand its business purpose, and assure its ongoing quality by adding alerts to identify trends and anomalies
Develop and maintain comprehensive, user-friendly reports and dashboards for optimal monitoring and visibility
Present data-driven insights to stakeholders clearly and concisely, enabling informed decision making.

We are looking for a Senior SecOps Engineer to enhance our security operations and ensure robust protection against sophisticated threats. This role is crucial for maintaining our Security Operations as a high-performing and resilient hub that can quickly adapt to emerging security challenges in the fintech industry. You will take the lead in refining our SOC capabilities by monitoring network traffic, automating processes, analyzing security incidents, managing security tools, and providing expertise to SOC analysts, without having direct management responsibilities.

The Senior SOC Engineer collaborates with cross-functional teams to build defenses, respond to incidents, and design strategies for robust cybersecurity posture.

What you will be doing:
Drive SOC workflow automation using SOAR, and oversee the full lifecycle management (deployment, tuning, operation) of core security tools like EDR aiming to increase automation coverage and consistency.
Lead Cloud Security Monitoring, including managing AWS security logs via SIEM and working with the CSPM team for proactive cloud defense.
Perform continuous Security Monitoring and Threat Detection, building custom queries and dashboards to enhance visibility across platforms.
Develop and execute Proactive Threat Hunting procedures to identify potential risks.
Enhance and coordinate the Incident Response process, working with cross-functional teams through containment, eradication, and post-incident analysis.
Collaborate with third-party vendors for managed security services and specialized tools.

We are seeking an experienced Informatica / ETL Developer with a strong background in designing, developing, and leading complex data integration processes within large-scale environments. The role involves full ownership of ETL solutions, from requirements analysis and architecture through development, testing, deployment, and ongoing production support.
Key Responsibilities:
Design, develop, and maintain ETL processes using Informatica Cloud (IICS) and/or Informatica PowerCenter
Lead end-to-end ETL development activities, including requirements intake, solution design, implementation, testing, and production deployment
Develop and maintain complex ETL workflows integrating multiple systems and data sources, including:
Databases: MongoDB, MySQL, DB2 AS400
Files: XML, flat files (MF), CSV
Messaging systems: MQ, Kafka
Change Data Capture (CDC)
Provide rapid response to ad-hoc business requests and production issues
Optimize performance of existing ETL processes and improve overall system efficiency
Collaborate closely with cross-functional teams to ensure reliable and scalable data solutions

abra is looking for an Informatica / ETL Developer with experience in developing and leading complex data processes in large-scale organizations. The role requires end-to-end ownership, including requirements gathering, design, development, testing, and deployment to production. Responsibilities:
* Development and maintenance of ETL processes using Informatica Cloud (IICS)
* Development and maintenance of complex ETL workflows integrating multiple components, including: Databases: MongoDB, MySQL, DB2 AS400 Files: XML, flat text files (MF), CSV Messaging systems: MQ, Kafka CDC (Change Data Capture)
* End-to-end ETL development lifecycle: requirements intake, architecture, development, testing, and production deployment.
* Rapid response to ad-hoc business requirements and production issue support.
* Performance tuning and optimization of existing ETL processes.

It starts with you - an engineer who cares about building data pipelines and models that deliver reliable, trusted data. You value data quality, clean transformations, and making data accessible to those who need it. Youll work alongside experienced engineers to build ETL/ELT pipelines, maintain dimensional models, and implement quality checks that turn raw data into actionable intelligence.
If you want to grow your skills building data products for mission-critical AI, join mission - this role is for you.
:Responsibilities
Build and maintain ETL/ELT pipelines using platform tooling - workflows that extract from sources, apply transformations, and load into analytical stores.
Develop and maintain data models - fact/dimension tables, aggregations, and views that serve analytics and ML use cases.
Implement data quality checks - validation rules, tests, and monitoring for data freshness and accuracy.
Maintain documentation and lineage - keeping data catalogs current and helping consumers understand data sources and transformations.
Work with stakeholders to understand data requirements and implement requested data products.
Troubleshoot pipeline failures - investigating issues, fixing bugs, and improving reliability.
Write clean, tested, well-documented SQL and Python code.
Collaborate with Data Platform on tooling needs; work with Datastores on database requirements; partner with ML, Data Science, Analytics, Engineering, and Product teams on data needs.
Design retrieval-friendly data artifacts - RAG-supporting views, feature tables, and embedding pipelines - with attention to freshness and governance expectations.

Were looking for Senior Product Data Analyst to join the tea Dynamic Yield and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique opportunity to influence the evolution of a leading experience-optimization platform, enabling some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
Role
Collaborate with product managers to define, refine, and lead KPIs and success metrics aligned with product goals. Support planning, feature evaluation, and post-launch performance reviews to ensure data-driven, measurable product decisions
Analyze user behavior and product usage through quantitative methods to identify pain points, uncover trends, and measure feature adoption to inform product strategy and improvement
Develop and maintain dashboards and reports that provide product and business stakeholders with timely, actionable insights, ensuring key metrics are accessible and accurately reflect performance across product initiatives
Contribute to the development and upkeep of data models and support the maintenance of scalable, reliable ELT pipelines. Play a key role in shaping the underlying data infrastructure that drives analytics across product and business functions
Monitor KPIs and drive continuous efficiency improvements
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Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Revenue Data Analyst who combines strong business skills with a strategic mindset and curiosity for how data drives revenue and growth in social mobile apps. You’ll partner closely with sales, marketing, and operations teams to turn data into clear sales and marketing insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy and revenue KPIs.
* Partner cross-functionally to translate data findings into actionable business and marketing decisions.
* Design, run, and analyse A/B tests to evaluate sales strategies and revenue monetization.
* Build, automate, and maintain dashboards and reports to track sales insights, business behaviour, and key trends.
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.
* Support client QBR, Business’s events, sales speeches with actionable data, insights learnings, answering business challenges, supporting our storytelling or selling speech.

Were looking for a Junior Data Analyst whos eager to learn, explore big data, and turn raw information into real insights. Youll work closely with our data and R&D teams, analyzing patterns, supporting reports, and contributing to smarter product and business decisions.
This is a great opportunity to grow your analytical and technical skills in a cutting-edge cybersecurity environment.
What Youll Be Doing:
Support analysis of large, complex data sets to identify trends and insights.
Help produce reports on product performance, user behaviors, and new features.
Work closely with multiple teams to answer data-related questions and support decision-making.
Assist in automating data processes and improving reporting efficiency.
Learn and apply tools and methods for device identification and data enrichment.