דרושים » תוכנה » Cyber Data Analyst

We are looking for an experienced Senior Data Analyst to help us shape strategy and processes by bringing data-driven recommendations.

In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.
We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our clients expectations while still having fun.

Responsibilities:

Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
Data-Driven Product Insights: Analyze product performance and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
Advanced Analytics: Lead the development and application of advanced analytical techniques to validate hypotheses and optimize business performance
Leadership & Collaboration: Guide, and mentor analysts in advanced methodologies, best practices, and data storytelling, collaborating cross-functionally with management, product, engineering, and marketing to drive data-informed decisions.
Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.

We are seeking a highly skilled and detail-oriented Data Analyst/BI Developer to join our Trading BI Analyst team.

In this role, you will play a key part in shaping the analytical foundation that supports our trading operations.

What will you be doing?

Collaborate closely with trading stakeholders, data engineers, and fellow analysts to build, enhance, and maintain business-critical dashboards and reporting pipelines.
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools)
Optimize SQL queries, backend data transformations, and overall system performance to ensure scalability and efficiency.
Collaborate with trading and product teams to gather evolving business needs and translate them into accurate and actionable reporting logic.
Identify and proactively resolve data anomalies and quality issues
Transform complex data into meaningful insights that drive strategic decisions across the organization

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbersyoull unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategyempowering teams across the company to make smarter, faster, and more impactful decisions.

Key responsibilities:

Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

Youll sit directly within the Product organization, collaborating closely with Product Managers, Designers, Engineers, and GTM teams to improve how we use data across a growing suite of B2B SaaS products.

Responsibilities
Analytics

Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports using Snowflake, Redash, Metabase, Hellicone and Mixpanel to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.
Develop SQL queries and models to ensure data integrity and availability for decision-making.
Support cross-functional metric alignment and data governance across Product and GTM functions.
Introduce best practices for data analysis.
Product Operations

Partner with product managers to maintain tools like Jira and Jira Product Discovery, ensuring consistent tracking and clean instrumentation.
Contribute to the OKR process, including progress tracking, performance reporting, and cross-team alignment.
Support and improve operational cadences - including product performance reviews, roadmap tracking, and release reporting.
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Help scale best practices in how product and GTM teams use data to inform decisions.

Datasets, Reporting & Dashboards: Build complex datasets that will be used for creation and maintenance of intuitive dashboards and recurring reports that effectively communicate key findings and recommendations to stakeholders and leadership.
Control and tracking: build and set up KPIs tracking system across the user funnel, from user acquisition to stickiness , retention and LTV.
Data Exploration: Leverage large and diverse datasets to uncover patterns, trends, and potential growth drivers across all marketing channels.
Insight Generation: Analyze and interpret complex B2C and user data (customer behavior, results, market trends) to identify key insights and opportunities for optimization.
Performance Optimization: Monitor key performance indicators (KPIs) to evaluate effectiveness, identify areas for improvement, and drive continuous optimization of user acquisition and engagement efforts.
Cross-Functional Collaboration: Partner closely with business managers, product teams, analysts, and data engineers to provide analytical support for strategic decision-making and business planning.
Process Improvement: Proactively identify opportunities to optimize analytics processes, automate reporting, and enhance data accuracy.

To ensure our live deployments deliver maximum impact, were looking for a hands-on, insights-driven Senior Data Analyst to lead performance tracking and optimization for our product and customers.
As Senior Data Analyst, youll be responsible for analyzing production data to monitor store performance, improve current operations, and provide insights that shape our future roadmap. Youll also structure and manage how operational data is collected, aggregated, and analyzed, ensuring it delivers actionable value across teams.
This role sits within the Customer Performance team our group responsible for ensuring our deployments perform at their best and deliver measurable value. Youll collaborate closely with Operations, Product, R&D, Customer Success, and our retail partners.
A day in the life
Analyze production data from live stores to assess system performance and customer behavior.
Track and report on agreed KPIs with retail partners, ensuring we deliver against operational commitments.
Manage and structure operational data defining what is included in analysis and how it is aggregated.
Collaborate with Data Engineering to analyze, maintain, and improve ETL workflows and data pipelines, ensuring data is accurate, timely, and accessible for analysis.
Build dashboards to surface insights internally and for retailer-facing teams.
Provide insights that inform both current operational improvements and our product roadmap.
Liaise with cross-functional teams (Operations, Product, R&D, Customer Success) to proactively suggest system enhancements.
Communicate complex KPIs, concepts, and insights in a clear, structured, and compelling way, tailored to technical and non-technical audiences.

Analyze and interpret marketing data, including customer behavior, campaign performance, and market trends, to identify insights and opportunities for business growth
Leverage multiple complex big data sets to identify patterns, trends, opportunities, and threats to our marketing operations
Monitor and report on key performance indicators (KPIs) to track the effectiveness of marketing campaigns and initiatives
Develop and maintain dashboards and reports to communicate insights and recommendations to senior leadership
Use advanced analytics, data mining, business intelligence, and statistical tools, combined with a strategic and industry point of view, to drive marketing growth
Continuously identify and implement improvements to marketing processes and systems to increase efficiency and effectiveness
Be a leader in the marketing analysis field in the company

we are looking for a Data Analyst to join our team.
The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.
The successful candidate should have a proven track record of success in the field of business analytics
Responsibilities:
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the companys in-house teams like Sales, Marketing, CSM, Growth, and more.

we are looking for a brilliant Data Analyst to join our fast-growing company and Data department.
As part of this role, you will join the Performance Analytics team, which takes a central and holistic position in the company. You will be in charge of defining and monitoring high-level company KPIs that are reported to executives and suggesting proactive actions that create meaningful business impact. You will work both independently and collaboratively on some of the most interesting and innovative analyses in the online industry.
Were looking for someone who is AI-native, tech-savvy, and curious by nature a self-learner who takes ownership, explores automation and AI tools to enhance analytical workflows, and proactively turns data into action.
This position is temporary, a replacement for maternity leave.
What am I going to do?
Serve as the data analyst focal point for all business & engineering-related teams
Define new business KPIs, unit objectives, and create supportive infrastructure for measuring them
Track and analyze business performance wisely, alerting and investigating abnormal trends
Provide actionable recommendations and conclusions based on in-depth analysis to various stakeholders
Leverage AI-driven tools and automations to streamline analysis, detect insights faster, and optimize data operations
Manage multiple tasks at a time in a fast-paced environment.