לוח משרות דרושים הייטק מערכות מידע עבודה היברידית

Requirements:
Minimum 5 years of BI/Data Analysis experience.
Proficiency in BI tools like AWS Quicksight, Domo, Tableau, and Heap for data visualization.
Hands-on experience with ETL processes and tools.
Strong understanding of relational databases and concepts (tables, indexes, keys, joins).
Experience designing and monitoring KPI dashboards.
Excellent communication, collaboration, analytical, and problem-solving skills.
Ability to work independently and as part of a fast-paced team.
Proactive in learning and adopting new technologies.
Advantages:
Proficiency in programming languages like Python.
Knowledge of NoSQL databases like MongoDB.
Understanding of data warehousing concepts.

Requirements:
5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports - Must
Strong analytical skills, with the ability to analyze complex data sets, draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
Knowledge of data visualization best practices, including design principles, usability, and accessibility standards - Must
Familiarity with programming languages such as Python or R for data analysis and visualization
Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
Strong attention to detail, with a focus on data accuracy, completeness, and reliability
Ability to work independently and as part of a team in a fast-paced environment
Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges
A Bonus:
Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
Certification in business intelligence, data analytics, or related field an advantage
Experience in the financial service sector an advantage
Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
Experience with data modeling, data warehousing, and ETL processes an advantage
Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage.

Requirements:
Minimum of 10 years of experience in architecture and administration of software technologies and solutions with a minimum of 5-7 years of experience in architecting and administration in Microsoft Dynamics 365 CRM, Power Automate, Power Apps, SharePoint, and MS Teams - Must
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Experience with implementing changes to Dynamics 365 CRM front end through customization and configuration - Must
Experience with D365 Dataverse, PowerApps (model driven), automating business processes with Power Automate - Must
Understanding and practice of solutions development methodologies (e.g., DevOps, Agile, Software Development Lifecycle, etc.) - Must
Experience building relationships with internal customers and stakeholders
Prior work experience as a Business Analyst or Systems Analyst capturing, analyzing, and translating business requirements, specifications, processes, and business cases
Creative thinking with the ability to multi-task - Commitment to ongoing professional development
Familiar with Common Data Service (CDS) and the Common Data Model (CDM) - Implementations, D365 Upgrades, Migrations, Installation, End-User Training, User Training, IT/Admin Training, Pre, and Post Go-Live Support
Strong data quality and management skills, to ensure data integrity, carrying out data cleaning, improvements and de-duplication and understand, report and seek to rectify data quality issues
Good understanding of CRM reporting to create dashboards/views/reports to meet business requirements
Experience with modifying and maintaining system customization to business processes, workflows, and dialogs; templates; lead nurtures and email sends; fields and forms; among other possible customizations
Experience serving in a primary support role for a Microsoft Dynamics environment to include system backup, maintenance, patch updates, error logs, and release management
Good working knowledge of SQL server and ability to query in SQL
Provided user support as necessary within an organization and acted as first line support and point of escalation for support team
Assist with user documentation and troubleshooting of technical issues with the platform
Been involved in supporting a user training program - to enable other colleagues to support and learn how best to use the system
Knowledge of how to manage and maintain user permissions, security roles and security teams
Strong interpersonal skills and ability to be able to work comfortably with both technical and nontechnical stakeholders
Ability to respond in a flexible and adaptive manner to support business requirements, when ad hoc requests are made.

Requirements:
7 years of CRM/direct marketing experience
5 years of experience managing lifecycle marketing projects
Extensive experience with segmentation and targeting strategies
Proven mastery of HubSpot, including advanced experience with HubSpot Reports
Analytical and strong in data interpretation to provide business-minded strategies and recommendations based on data
Excellent analytical and problem-solving skills and proven ability to achieve KPIs
Excellent attention to detail
Strong understanding of the consumer. Defines and directs customer and marketing research
Bonus Points:
Experience writing or leading teams for B2B SaaS, especially PropTech.
3 or more years of team management experience
Experience with Tableau
Experience working in a company (not agency) with 100+ employees.

Requirements:
*  Bachelors degree in economics / industrial engineering /accounting or something similar relevant
*  2 to 3 years of functional experience with ERP systems.
*  SAP Experience is an advantage.
* Ability to work collaboratively in a global team during steady state, post-go live, and developing strategic solutions.
* Highly motivated team member with good interpersonal and strong communication skills.
*  Experience in hands-on and root-cause analysis skills.
*  SQL Experience advantage.

Requirements:
4+ years experience in a technical role as a BI Engineer or data lead in SaaS company, in an internal BI function.
Proven hands-on experience in developing data pipelines and ETL processes.
Strong command of SaaS metrics like ARR, net retention, funnel conversion rates, etc.
Proven experience working with Tableau to create compelling visualizations.
Experience with writing complex SQL queries.
Experience with data modeling, data warehouse implementation, and maintenance.
Ability to collaborate with multiple stakeholders, including go-to-market and more technical teams.
Experience training end-users, rolling out new products, and driving them to full adoption.
Proven record of merging multiple data sources to develop a single source of truth for reporting needs.
A self-learning, self-starter attitude with an enthusiasm to work in a fast-paced, team-oriented start-up environment.
A passion for analytics and strong analytical skills.
Excellent project and task management skills.
Fluent in English and Hebrew - high-level written and verbal communication skills.
Advantages
Prior experience with Snowflake and Rivery
Prior experience with other tools and languages such as PowerBI and Python.
Prior experience with companies combining subscription and consumption-based revenue.