לוח משרות דרושים Data Analyst במרכז

Requirements:
At least 5 years of experience as a Data/Research Analyst in the high-tech industry.
Proven record in leading analysis projects end-to-end - from understanding stakeholders needs to defining data requirements, conducting analysis and providing relevant recommendations.
Experienced working with Data warehouse or Data lake architectures.
High proficiency in SQL and visualizations tools.
Knowledge in Python and data analysis packages (e.g. Pandas).
Responsible, fast-learner and highly motivated.
Independent and problem-solve mindset.

Requirements:
At least 2 years of experience in analytic roles in the high-tech industry.
Excellent SQL skills - must.
Prior experience with BI tools such as Power BI, Tableau, Metabase, etc - must.
Experience with data warehouses, dbt, etc - must.
SaaS Enterprise BI experience - advantage.
Experience setting up data connectors (e.g., via databricks) - advantage.
Experience Working with Finance and Sales departments a - advantage.

Requirements:
4+ years of experience in SQL, data analysis and visualization
4+ years of strong scripting experience
Experience with monitoring tools such as DataDog, New Relic, Grafana, Prometheus
Understanding of statistical data
Self-learning and infinite curiosity
Strong troubleshooting and problem-solving skills
Experience with AZURE or other cloud solutions - an advantage
Kusto Query language an Advantage
Experience working with Analytics tools
Excellent teamwork skills and the ability to work autonomously
Statistical analysis experience (e.g. Python)
Experience with Artificial Intelligence - an advantage.

Requirements:
Who you are? 
5+ years of experience in managing end to end data projects, including modeling, STT definitions, data streams and solution design.
Excellent verbal and written communication- High English language proficiency.
Experience in Data Warehouse solution design and modeling.
Knowledge in ETL, data streams & pipelines.
Led significant project(s) that involved various stakeholders.
High level SQL and analytics capabilities.
Working with Cloud Platform, especially with Big Query, DL, etc.

Not a must but a great advantage:
Knowledge in front end self-service tools (like: Power BI, Looker, etc.).
Background of KPI definition, building dashboards & converting data into visual insights.

Requirements:
3+ years of direct experience in BI Development; writing complex and efficient Big Query queries.
2+ years of experience with BI tools (preferably Power BI).
Bachelors degree in computer science or related field.
Demonstrated advanced analytical, multi-tasking and problem-solving skills.
Direct experience with financial analysis a plus.

Requirements:
Minimum of 5 years of experience as a business/product analyst (in financial services industry is an advantage).
Bachelors degree in business, industrial engineering, finance, or a related field required - advanced degree preferred.
Expertise in data analysis, SQL, statistics, A/B testing, and data visualization tools like Looker, PowerBI, and Amplitude.
Experience with Python for data analysis and reporting is an advantage.
Superb data storytelling ability to influence audiences at all levels, including executive leadership.
Strong understanding of web analytics, tracking plans, and QA of implementation.
Project management skills with the ability to work on multiple priorities concurrently.
Collaborative, proactive mindset with good business acumen and product intuition.
Passion for the fintech industry and driving customer-centric products through data.
Energized - independent yet strong team player, loves and understands customers, highly curious person.

Requirements:
Who you are? 
8+ years of experience in managing end to end data projects, including modeling, STT definitions, data streams and solution design
Excellent verbal and written communication- High English language proficiency
Experience in Data Warehouse solution design and modeling
Knowledge in ETL, data streams & pipelines
Led significant projects that involved various stakeholders
High level SQL and analytics capabilities
Working with Cloud Platform, especially with Big Query, DL, etc.

Not a must but a great advantage:
Knowledge in front end self-service tools (like: Power BI, Looker, etc.)
Background of KPI definition, building dashboards & converting data into visual insights

Requirements:
Have you done this kind of stuff?
Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics, or another quantitative field.
5+ years of experience as a Data Analyst.
3+ years of experience as a Data Analyst Team Leader.
Strong business acumen with the ability to translate data insights into strategic actions.
Strong experience with SQL and ability to optimize queries for performance.
Experience building dashboards and reports using Power BI, Tableau, Looker, or similar tools.
Proficiency in Python (especially Pandas) for data analysis advantage!

Soft Skills:
Proven leadership skills, with the ability to inspire and motivate a team.
Strong analytical and problem-solving mindset, with a proactive approach.
Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders.
Highly organized and detail-oriented, with a strong ability to multitask.
Passion for continuous learning and professional growth.
Experience working in an international environment fluent English required.
Experience with data modeling, BI/ETL development.
Experience working with operational KPI Metrics.
Experience in Financial Services or FinTech companies.

Requirements:
5+ years in data analysis experience in Payments Acquiring/ Checkout industry - a must.
Experience working with complex B Analytics platforms, and programming languages: Power BI, SQL queries, Google Big Query.
Experience working in a global environment a must.
Experience managing relationships with company executives and leading initiatives to support data driven business decisions.
Bachelor's Degree in Computer Science, Mathematics, Statistics, or equivalent fields.
Deep understanding of the Data Analytics landscape. Monitor industry trends and implement best-in-class analytical concepts and data models.
Present and communicate business insights and data trends in meetings with senior leaders across the organization.
Well organized, energetic and hands on individual with a can-do approach.
A problem solver, experienced working under pressure.
Ability to cope with changing requirements and levels of uncertainty in a fast-paced environment.
Excellent English level.
Experience with building data models.

Requirements:
BS/BA in a relevant field (Statistics, Industrial Engineering, Information Systems)
Minimum 4+ years of experience as a data analyst
Relevant experience from Global software companies
Proficient in SQL capabilities
Experience working with Python
Experience querying Big data (Snowflake an advantage)
Ability to analyze huge data sets effectively
Strong problem-solving skills with a passion for data
Previous experience as working as part of a team
Ability to communicate complex data insights effectively
Excellent communication skills
Online marketing experience (an advantage)

Requirements:
Ability to perform repetitive and meditative work.
A high level of English proficiency (both written and verbal) must
Eager to learn and get to know the Data world in a high-tech company.
Efficient and have good concentration skills.
Ability to take initiative, work independently and manage task without constant supervision.
Problem solver.
Strong analytical skills and attention to details.
Ability to work in a team and communicate efficiently with manager/team members.
Ability to develop and deliver support materials.
Strong project management skills and the ability to manage multiple projects simultaneously.
If you dont meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what were looking for.



Requirements:
3+ years of experience as Data analyst, preferably for the Gaming industry
Outstanding analytical and problem solving skills
Master SQL experience in querying large, complex data sets
BA/B.Sc. in Statistics or Math or Economy or Industrial Engineering
Expert at data analysis and visualisation such as Excel / Tableau / qliksense
Convert complex insights and concepts into desireable actions.

Requirements:
3+ years of experience as a Business Analyst / Revenue Operations Analyst / Financial Planning Analyst or a similar role at a rapidly scaling organization - in the SaaS industry
Hands-on and Strong experience with Salesforce CRM and Excel /Google Sheets , including analyzing complex data sets
Advanced analytical skills, data modeling, business insight with the ability to build clear and concise models and presentations.
Excellent written and verbal communication skills, with the ability to distill complex ideas simply and effectively.
Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Team player, self-motivated, extremely detail-oriented with strong problem-solving skills and the ability to work independently.

Requirements:
What It Takes:
4+ years of hands-on experience as a data analyst, with strong exposure to the payments or finance industry (e.g., credit card processing, PSPs, chargebacks, fraud, risk analytics) Advanced SQL proficiency ; comfortable querying complex schemas across billions of rows - Must.
* Proven experience working with Python - Must.
* Strong data storytelling skills with the ability to present findings clearly and persuasively to technical and non-technical audiences.
* Experience working closely with R&D teams or within a product-driven company.
* Exceptional ownership mindset; you drive projects independently and take pride in delivering value.
Nice-to-Haves:
* Proven experience working with BI tools (e.g. Looker, Tableau, PowerBI).
* Understanding of Machine Learning models, evaluations & principles.
* Understanding of statistical techniques and A/B testing principles.
* Experience in fraud/risk analytics, payment optimization, or revenue recovery.
* Background working in PLG SaaS or Fintech/Risk-Tech companies.
* Comfortable working in a fast-paced startup environment with ambiguity and rapid change Our Story.
We are a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in Ecommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, Ecommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, we have embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize Ecommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.

Requirements:
B.Sc. degree in a related field; M.Sc./Ph.D. is an advantage.
Solid background in data analysis skills.
Track record managerial experience, leading a data analytics team.
Self-motivated with analytical skills and problem-solving orientation.
Experience in multidisciplinary systems engineering, laser technology, optical fibers, seismic signals, signal processing.
Strong collaborator with peers; excellent communication and teamwork skills.