לוח משרות דרושים Data Analyst משרה מלאה

Requirements:
3+ years of experience as a Data Analyst or BI Developer, working hands-on with databases and query/visualization tools to explore and validate data.
Experience using Python to automate data tasks, perform validation, and support analysis.
Comfortable working in distributed cloud environments (AWS, GCP, or Azure).
Familiarity with big-data technologies (Hadoop, Spark, Databricks) big advantage.
A team player who is curious, self-driven, and able to take ownership from definition to delivery.

Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.

Requirements:
At least 2 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

Requirements:
3+ years of experience leading a BI or Analytics team, with a strong track record of influencing business strategy and driving measurable impact.
5+ years of hands-on experience in BI and/or Data Engineering environments, with the ability to dive into technical challenges when needed.
Bachelors degree in Business, Analytics, Computer Science, Data Science, or related field.
Proficiency in SQL for data modeling, performance tuning, and query optimization.
Hands-on experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift, preferably Snowflake.
Experience with dbt, Rivery, or similar data transformation and orchestration tools, with a solid understanding of ETL/ELT workflows and best practices.
Hands-on experience with dashboarding and visualization tools such as Power BI, Tableau, Looker, or Qlik.
Strong capability to translate business problems into analytics solutions and into actionable insights, build dashboards, derive insights, and influence business outcomes.
Excellent communication and stakeholder management skillsable to engage business leaders, articulate value of analytics, manage expectations and cross-functional collaboration.
Comfortable working in dynamic, cross-functional environments and managing multiple projects simultaneously.
Hands-on experience with dbt is a strong plus.
Experience with Git & Python.
Experience managing or analyzing ARR and other recurring revenue metrics.

Requirements:
* 2+ years of experience as a data analyst, data scientist or economist in the gaming industry - must.
* Proven experience with Python for data analysis, segmentation, and predictions.
* Strong command of SQL and experience exploring large datasets.
* Understanding of game economy concepts, player motivations, and progression systems.
* Experience with BI tools (e.g., Power BI, Looker, Tableau).
* Clear communication and collaboration skills – able to work with technical and non-technical teams. Bonus Points For
* Prior work on segmentation frameworks for different player types.
* Experience with level analytics, offer targeting, or monetization modeling.
* Statistical testing and experimentation at scale.

Requirements:
* 4+ years of experience in system analysis, specification, and development lifecycle management mandatory
* Proven ability to analyze, specify, and support development tasks in both Mainframe and Open system environments mandatory
* Hands-on experience reading and understanding COBOL code mandatory
* Experience writing detailed requirement documents, functional and technical specifications mandatory
* Experience with Microservices development methodologies mandatory (4+ years)
* Strong SQL knowledge mandatory
* Experience with large-scale enterprise systems mandatory
* Familiarity with Jira and DB2 advantage
* Understanding of Mainframe development methodologies advantage

Requirements:
Bachelor's degree in Information Systems, Industrial Engineering, or a Data/BI-related field a must.
4+ years of experience as a Data Analyst or BI Analyst.
Expert in SQL querying within BI and Data Warehouse structures, including complex joins, subqueries, and window functions.
High proficiency in Microsoft Excel, including advanced formulas, pivot tables, and data modeling.
Proven analytical skills and critical thinking ability to dive deep into data, identify trends, and solve complex problems.
Experience working with BI platforms and communicating insights clearly through data storytelling.
Hands-on experience with at least one of the following: Snowflake, ADX, BigQuery, Redshift strong advantage.
Familiarity with Python for data analysis an advantage.
Self-starter, detail-oriented, and business-savvy
Experience supporting Machine Learning processes or working with Data Scientists.
Familiarity with cloud platforms Azure or AWS (preferably Azure)
Technical fluency (e.g., working with APIs, logs, event-based systems).

Requirements:
Minimum of 5 years of experience in data analysis.
Proficiency in SQL and experience with database management.
Strong knowledge of full-stack development, including Node.js and React.
Excellent analytical, problem-solving, and critical-thinking skills.
Strong communication skills and ability to work effectively in a team environment.

Requirements:
Requirements:
* Minimum of 3 years of experience working in a manufacturing company, with strong knowledge of production and planning processes.
* BSc in Industrial Engineering & Management or Information Technology.
* Experience with MES systems – advantage.
* Experience with ERP systems – advantage (Priority or similar).
* Strong problem-solving and analytical skills.
* Excellent communication and interpersonal skills, with a service-oriented mindset.
* Ability to work collaboratively in a team environment while maintaining independence and initiative.
* Strong organizational skills and attention to detail.
* Knowledge of system integration concepts and cross-functional workflows – advantage.
* Familiarity with other business systems such as PLM – advantage.

Requirements:
* 6+ years of experience in data analysis.
* 2+ years of experience in the Dating mobile apps market.
* Strong expertise in SQL, Python, and data visualization tools (Tableau, Looker, Matplotlib).
* Experience designing and analyzing A/B tests.
* Familiarity with causality models for identifying relationships in data.