לוח משרות דרושים Data Analyst

Our mobile games have hundreds of millions of downloads worldwide, and some exciting new titles are coming soon. We seek a talented professional who thrives at the intersection of Product Analytics and Game Economy, engaging in data -driven decision-making and product analysis to enhance the gaming economy. You will create fun and engaging game experiences while maximizing player retention and revenues. You will be a crucial part of the analytics team, collaborating closely with the development, data, and product teams.
Responsibilities:
* Utilize quantitative analysis and data presentation to understand user interactions and enhance the game economy.
* Track Daily KPIs, trends, and user behavior to optimize game economy dynamics.
* Identify growth opportunities to improve feature adoption, retention, engagement, and monetization strategies.
* Provide actionable insights to enhance player experience and game economy.
* Understand gameplay loops and how players interact with them.
* Tune the performance of existing features by devising A/B tests and analyzing their effectiveness.
* Adjust sinks/sources to maximize engagement, retention, and revenue.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a talented and motivated Senior BI Analyst to build our Tableau environment from the ground up. The ideal candidate will have strong analytical skills, a deep understanding of data visualization principles, and the expertise to transform data into actionable insights. You will play a single and critical role in designing, developing, and implementing Tableau dashboards and reports that facilitate data-driven decision-making within our organization. Responsibilities:
* Environment Setup: Establish and configure the Tableau environment, including server setup, user access, and security protocols.
* Data Integration: Collaborate with data engineering and IT teams to gather, clean, and integrate data from multiple sources (Salesforce, MongoDB, APIs) into Tableau.
* Dashboard Development: Design, create, and maintain interactive and user-friendly
* Tableau dashboards and reports that meet the needs of various stakeholders across the organization.
* Data Modeling: Develop and document data models and schemas to ensure efficient data retrieval and analysis.
* Business Requirements Gathering: Work closely with business users to understand their reporting needs and translate them into technical specifications.
* Performance Optimization: Monitor and optimize the performance of Tableau reports and dashboards, ensuring they meet performance standards and are scalable.
* Training and Support: Provide training and support to end-users, guiding them on how to utilize Tableau for self-service analytics.
* Documentation: Maintain comprehensive documentation of the Tableau environment, data sources, dashboards, and user training materials.
* Continuous Improvement: Stay updated on the latest Tableau features and best practices, and continuously seek opportunities to enhance and optimize the reporting capabilities.

abra R&D is looking for a Junior Systems Analyst! We are looking for a System Analyst to join the Mobile Channel team, responsible for delivering high-quality technical specifications and driving digital projects forward in an Agile environment. Key Responsibilities:
* Write detailed technical specifications for mobile and web-based projects
* Perform quality control and validation of development deliverables
* Collaborate closely within an Agile squad to define, track, and implement user stories
* Work cross-functionally with developers, product managers, and testers

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if youre great at SQL and have experience analyzing website data, youre someone we want to talk to.

Were looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, were looking for experienced analysts that can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we havent measured or used new ways to explain user retention, or analyzed features of users data that we havent analyzed.

The best thing about our work is that were part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do
Analyzing the behavior of users on our site and apps:
-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:

-Design a test with clear success criteria.

-Monitor test integrity.

-Analyze results and give recommendations.

-Use segmentation and clear cohort analysis to validate significant conclusions.

-Conduct exploratory analysis to identify trends and opportunities.

The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.

Key Responsibilities:
Review and analyze textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

This role provides an opportunity to work across various departments, helping drive financial efficiency, cost optimization, and strategic decision-making in a dynamic company environment.



HOW YOULL RAMP:

By Day 30 Getting Familiar with the Environment, Tools & Stakeholders

Gain a deep understanding of Sisenses cloud environments, product, and architecture.
Learn about key stakeholders' roles in cloud operations, procurement, and finance.
Get familiar with Sisense's procurement process and software vendor landscape.
Review existing cost management and FinOps tools to understand how costs are tracked and optimized.
Participate in FinOps meetings to understand current projects, challenges, and cost initiatives.
Begin reviewing existing cloud spend reports and vendor agreements to analyze spending patterns.
By Day 60 Diving into Cost Analysis & Optimization

Start conducting detailed cloud cost analysis, identifying trends, anomalies, and potential areas for optimization.
Identify rightsizing, reservation, and cost reduction opportunities across multiple cloud providers.
Work closely with Engineering and Product teams to recommend and implement cloud cost optimization strategies.
Begin contributing to FinOps projects, such as improving internal cost dashboards and cloud spend forecasting models.
Develop an understanding of vendor utilization and business impact, working with owners to assess spending efficiency.
By Day 90 Adding Value Through Vendor Management & Strategic Planning

Take an active role in vendor cost management, evaluating ROI and usage trends to support long-term decision-making.
Assist in developing budget forecasts for cloud costs and software expenses, working with Finance and leadership.
Propose long-term cost optimization strategies, including contract adjustments, pricing negotiations, and vendor consolidation.
Establish ongoing review processes for cloud costs, vendor spend, and budget alignment to support Sisense's financial objectives.

Were looking for an experienced and passionate Growth Data Analyst to join one of our agile analytics teams. Youll be a strategic partner, and a decision maker, working closely with Revenue leadership to determine exactly where Lemonade wants to scale its Growth and Marketing efforts. Youll help model complex data, uncovering patterns and delivering data-driven insights that help us grow our business. As a Growth Data analyst, youll ask the right business and strategic questions, and find the insights to answer them.

In this role youll:

Be part of the Analytics chapter, spending your day-to-day as the data expert in our Revenue team.

Build and maintain the data analytics infrastructure for accurate and timely reporting and sophisticated analysis.

Provide the analytical firepower to help evolve our acquisition strategy and grow our user base effectively and efficiently, with a particular focus on EU markets.

Collaborate with other data analysts and leverage the many marketing science tools we have developed to continuously measure, test, and optimize across all partners and platforms.

Analyze and derive actionable optimizations with the goal of improving user experience
Provide supporting data for prioritizing new features and initiatives
Plan, monitor and analyze AB tests for new features
Make data accessible by well-defined tracking and processes
Create optimal monitoring and visibility by building reports, alerts, and dashboards
Manage multiple tasks at a time in a fast-paced environment
Data and analysis focal point of product & engineering teams