דרושים » דאטה » SENIOR BIG DATA ENGINEER - COLLAB

If you are a total data addict who likes to get their hands dirty and you want to work with one of the largest data sets in the mobile world - Were looking for a talented individual with a pioneering spirit to join the Product team and help ensure we make data-driven product decisions.
This is a unique opportunity to work with one of her largest data sets in the mobile industry.
The ideal candidate will have strong technical skills, with a passion for slicing and dicing numbers. They should have great communication skills and can distill numbers into actionable steps to ensure that the platform remains at the top of its class.
This is a rare opportunity to make an impact in some of the most strategic products, spearhead continuous data analysis and provide insights throughout the product development process.
What youll do:
Analyze our huge data sets using statistics and data mining techniques to find and identify future product opportunities
Lead and execute continuous data analysis and provide insights throughout our product development process
Improve our product data modeling and collection procedures
Create and maintain visual dashboards to monitor the product
Work on several products as part of a multi disciplinary team consisting of product managers, product analysts and customer experience experts
Collaborate with various internal and external stakeholders on a regular basis, including customers presentations
Measure the product by creating impactful data reports from conceptualization, through data extraction, data analysis, and data mining, to the delivery of clear and actionable insights.
Serve as a point of contact for the R&D/Product departments on all analytics questions
Suggest, lead & implement new ideas & projects to improve our product - you own the data.

As the market leader in mobile attribution and marketing analytics, our data, generated for thousands of customers, is our biggest asset. Therefore, we have a wide portfolio of customer-facing data products, such as DataLocker, Push APIs, Pull APIs, ETLs, and more.
As a Product Manager for the customer-facing data products, you will play a crucial role in driving the development and success of our well-established data export product. You will have the opportunity to engage with Fortune 500 company customers to understand, develop, and maximize the value of our products to their business and leverage advanced data technologies to deliver a substantial impact.
What you'll do:
Own customer-facing data products throughout all life cycles, from concept to launch to ongoing enhancements and iterations
Define product priorities based on a deep understanding of customer needs, market trends, and our vision
Collect and analyze the customers' feedback, define product value and set requirements for development
Ensure a great user experience by continuously improving usability and functionality
Communicate effectively the product value and roadmap, internally and externally
Work closely with the business, marketing, and engineering teams to create and deliver high-value, quality products and features

The unit we are seeking to strengthen is responsible for one of our most strategic and client-facing products: a tool that collects and transforms ROI data into action for smart decision-making and powerful business outcomes. This tool is central to our value proposition, providing essential data on user acquisition, engagement, and campaign performance.
The ideal candidate will have a proven record as a client-facing product manager of a B2B SaaS platform in industry categories such as digital advertising and marketing analytics, as well as a data-driven and analytical background. He/she must also be a great listener and communicator who can distill product feedback, analyze customer needs, and prioritize feature development to ensure that continues to be a global market leader.
What youll do:
Lead the product strategy, roadmap, and lifecycle, define success metrics, and prioritize new feature releases.
Deliver a great experience to our products users.
Work with our clients directly first-hand feedback is essential. Collect and analyze the feedback to shape our product requirements and capabilities.
Communicate product status internally and externally.
Collaborate with the Engineering, Business, Marketing and Sales teams internally to provide top-of-the-line products for our users.

Join the front lines of data-driven decision-making with a leading role !
Are you an analyst with a passion for people and data? Would you like to be responsible for building tools that would provide insights? If so, lets get to know each other!
As a People Analyst, you will have a unique opportunity to support AppsFler through the art and science of People and Data.
This role combines strong analytical skills and technical savvy to support in making data-driven decisions.
This is a great opportunity that will allow you to bring your expert analytical abilities and provide key insights, recognize emerging opportunities and drive strategic initiatives forward, supporting our innovative, people-obsessed culture.
What You'll Do:
Design and develop BI dashboards for various business partners and leaders
Collaborate with the recruiting team, our people operations team, finance and HR managers to understand operational and people-related processes
Structure, report and monitor data to drive process insights and improvements
Train and educate stakeholders on data metrics and dashboards
Provide ad-hoc or special project data analysis to business leaders that enable them to achieve their goals, drive decision making and create new strategies where necessary
Work with data engineers and BI developers to connect and load data, and support day-to-day systems and interfaces to resolve data issues related to existing solutions

The Operations Specialist will play a crucial role in driving efficiencies and developing robust processes within the CS organization. This position requires a strategic thinker with a deep understanding of business operations and a strong commitment to continuous improvement. The ideal candidate will have a proven track record in streamlining operations, enhancing productivity, and ensuring operational excellence.
What you'll do:
Operational Efficiency:
Analyze and evaluate current processes for improvement
Develop strategies to enhance efficiency and reduce costs
Monitor KPIs and adjust processes to achieve goals
Process Development and Improvement:
Design and refine operational procedures for optimal productivity
Collaborate across departments to integrate new processes supporting business strategy
Use data-driven methods to identify and solve bottlenecks and inefficiency
Ongoing support to our CS team to make sure they are able to do their job
Technology Integration:
Leverage AI, technology, and automation to improve processes
Stay updated with industry trends and advancements
Reporting and Analysis:
Prepare and present operational reports to senior management
Use data and analytics to drive decisions and strategies
Conduct regular audits to ensure process effectiveness and efficiency

Do you enjoy solving complex technical problems?
the Support Team is a critical part of our business. As a customer-obsessed company, our Support Engineers interact with customers daily ensuring they have an amazing Experience. Support Engineers will be putting their problem-solving skills to the test to assist our customers in achieving success. In addition, the entire team is a crucial component of the feedback loop, working closely with the Engineering team to fix bugs, help the product evolve and help update our knowledge base articles. The role is highly collaborative and demands someone who can work cross-departmentally.
What you'll do:
Take end-to-end ownership of customer technical issues, including initial troubleshooting, identification of root cause, and issue resolution and communication.
Work with Customer's App development team to troubleshoot any SDK implementation issues
Work with our Engineering and Product teams on escalations and product enhancement requests.
Work closely with the Customer Success Manager and other internal teams to provide technical support
Enrich our client Knowledge Base with relevant technical information
Contribute to the improvement of the Support AI tools

If you see yourself in the front line of the cybersecurity domain as a data forensic and incident response (DFIR) talent, your place is with us. As a DFIR team member, you will participate in hands-on security research and investigations, helping our customers understand and mitigate cyber threats and attacks.
Responsibilities:
Perform incident response lifecycle and real-time activities, including detection and analysis, containment and eradication, and recovery
Perform incident response in a cloud environment (Azure, AWS, etc.).
Perform digital forensics investigations
Research and analyze tactics, techniques, and procedures (TTPs) used by malicious actors
Perform hunt-evil and find-evil activities for proactively detecting attacks
Work closely with our in-house red team, CTI, and cyber architect teams
Work closely with worldwide companies, CISOs, and technology experts

We are is 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.

Job Decription:
DBA application & infrastructure, in a small team (3 person) - leading the team is optional.
Managing 300 critical production BD, with Thousands of users.
LINUX / UNIX /WINDOWS workspace.
SSIS, SSRS, PYHTON, SHELL and TSQL developing.
Working with technologies such as SQL SERVER 2012-2014, SYBASE, AZURE.
Replication server, dev support, mirror, DR.
Working in a high level intense with cross-managing inside and outside the organization.
DB project managing and DWH with Big Data.