דרושים » תוכנה » Business Strategy Manager

As Head of Analytics, youll lead the analytics team and strengthen how data is used to support decision-making across the company. Reporting to the VP of Data & Analytics, youll translate the broader data strategy into clear priorities, high-quality analytical delivery, and measurable business impact.

Youll manage and develop teams of analysts and BI, partner closely with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations, and ensure that the company has trusted metrics, actionable insights, and scalable analytical capabilities.

This is a strategic and hands-on leadership role. Youll be expected to set direction, create structure, raise analytical standards, and remain closely involved in the companys most important business questions.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Team leadership and development. Lead, mentor, and develop the analytics team. Set clear expectations, establish ownership, support professional growth, and create a high-performance culture focused on business impact, analytical quality, and accountability.
Analytics strategy execution. Partner with the VP of Data & Analytics to shape the analytics strategy and own its execution, prioritization, and delivery. Translate company goals into a clear analytics roadmap and ensure resources are focused on the highest-impact business needs.
Business partnership. Act as a trusted analytical partner to senior leaders across Product, Sales, Marketing, Finance, Customer Success, and Operations. Understand their objectives, challenge assumptions, and help turn strategic questions into measurable decisions and actions.
Decision support and advanced analysis. Lead high-impact analyses across customer behavior, product performance, revenue, retention, pipeline, operational efficiency, and business growth. Ensure findings are translated into clear recommendations rather than presented as data alone.
Metrics and analytical governance. Establish and maintain consistent KPI definitions, business logic, and analytical standards. Ensure stakeholders use trusted and aligned metrics across dashboards, reports, forecasts, and business reviews.
Dashboard and reporting oversight. Guide the design, implementation, and improvement of executive and operational dashboards. Ensure reporting is relevant, reliable, easy to use, and aligned with business priorities.
Self-service analytics. Enable business teams to access and use data independently while maintaining appropriate governance, security, quality, and consistency. Identify where self-service creates value and where centralized analytical support is required.
AI-driven analytics. Help define and implement AI-assisted analytics capabilities that reduce manual reporting, accelerate insight generation, support natural-language access to data, and proactively surface risks or anomalies. Establish clear quality and validation standards for AI-generated outputs.
Cross-functional data collaboration. Work closely with Data Engineering, Data Architecture, and other technical teams to ensure that analytical datasets, semantic models, and data pipelines support current and future business requirements.
Operating model and prioritization. Build scalable processes for intake, prioritization, delivery, documentation, and stakeholder communication. Balance urgent business requests with strategic initiatives and long-term capability development.

We're looking for a sharp and passionate Business Data Analyst to join our top-notch business analytics team. Using your technical and analytical skills, you'll be responsible for telling the story behind the numbers and to understand how people interact with our products.
Responsibilities
Be on the cutting edge of analysis, leveraging our data sources to propose new ideas that youll then see implemented.
Analyze large, complex data sets representing users behavior, see beyond numbers and help to inform, influence, support and execute our business decisions.
Work closely with Product, Monetization and management, be proactive and provide actionable recommendations and conclusions from game data to shape features, game economies and future product roadmaps and business strategies.
Plan and analyze effective A/B tests in order to improve business KPIs.
Balance and monitor flows from all the features in the game.
Measure and improve performance of promotions and live-ops for each segment.
Build reports and dashboards to monitor product performance, key business metrics and players experience.

We are looking for an ambitious Business Analyst who is passionate about strategy in the tech space. The Business Analyst will support our business strategy and data-driven decision-making in the core market. Proactively guide business growth , quality, and marketplace efficiency using data analytics and business acumen.
Core mission:
To drive our business growth and operational excellence in the core market by leveraging data-driven insights and strategic thinking. This involves optimizing marketplace performance, developing monetization strategies, providing market intelligence, and collaborating with cross-functional teams to implement impactful solutions. The Business Analyst will be a key contributor to data-informed decision-making, ensuring our competitive edge and sustainable success within the dynamic tech landscape.
Responsibilities:
Idntify and solve business problems using analytical skills and business judgment
Responsible for managing and creating Tableau dashboards and driving data accessibility across teams
Develop monetization plans by changing and maximizing market behavior
Optimize the marketplace for optimal performance and growth
Lead strategic projects with senior management and internal units to improve operations
Pricing structures, products, and more
Set driver acquisition targets for the Supply and operations teams
Provide local market intelligence
Enable data-driven decision-making and business performance tracking
Support daily operations with data and business insights.

As our Product Analyst, you will play a key role in translating complex behavioral, marketing, and platform data into clear business insights that drive product strategy, customer value, and commercial decision-making. This is not a passive reporting role. We are looking for someone proactive, curious, and business-oriented - someone who can identify the right questions, investigate complex datasets, uncover meaningful patterns, and turn findings into actionable recommendations for Product, R&D, Customer Success, Sales, and leadership teams. platform processes large-scale consumer journey data to help global brands and publishers understand influence, attribution, and performance in a clickless discovery environment. As our products become more sophisticated, we need a strong analytical partner who can connect data, product logic, customer needs, and business context into one clear story. You will help define what success looks like, measure product performance, validate new capabilities, support strategic customer and partner initiatives, and ensure our teams make decisions based on strong data foundations.

What You Will Do

Translate complex data queries into clear business insights, recommendations, and product decisions.
Analyze large-scale behavioral, marketing, attribution, and product datasets to identify trends, risks, opportunities, and anomalies.
Partner with Product, R&D, CS, Sales, and leadership to frame business questions and define the right analytical approach.
Define KPIs, success metrics, dashboards, and analytical frameworks for new and 2 existing products.
Support product strategy by measuring adoption, feature performance, customer impact, and revenue opportunities.
Analyze clickless discovery, publisher influence, advertiser performance, share of voice, and conversion behavior.
Identify data inconsistencies, gaps, and edge cases, and partner with Data and Engineering to improve trust in our insights.
Present clear narratives and stakeholder-ready materials that connect data findings to business impact.
Your Day-to-Day Work

Write advanced SQL queries across large analytical datasets.
Use Python, Pandas, notebooks, and analytical workflows to investigate complex data
Build dashboards and reports in BI tools platforms for data visualization
Run deep-dive investigations into product usage, customer behavior, performance trends, and data anomalies.
Work with Product Managers on discovery, feature definition, rollout measurement, and post-launch analysis.
Collaborate with Data and Engineering teams on table logic, metric definitions, tracking requirements, and validation.
Prepare executive summaries, customer-facing insights, sales enablement analyses, and internal decision materials.
Proactively identify new insights, risks, and opportunities beyond the original request.

We are looking for a talented and enthusiastic individual to join our growing Business Development team as a Senior Business Development Account Manager.
Manage partner relationships: lead end-to-end management of partners accounts across commercial, legal, financial, and marketing functions.
Drive revenue growth: Identify and execute opportunities to expand existing partnerships through new products, markets, and channels.
Lead client strategy: act as a trusted advisor to partners, using data and market insights to influence decision-making and maximize performance.
Identify and close new business opportunities: Build and develop high-value relationships with potential partners to expand the companys portfolio.
Utilise BI tools: Generate valuable data and insights to drive business decisions.
Ensure operational excellence: Oversee partner reporting, financial accuracy, and performance tracking to support scalable growth.
Operate in a high-performance environment: Manage multiple high-impact initiatives simultaneously while maintaining attention to detail and execution quality.

We are looking for a hungry, highly motivated and ambitious Junior Business Development Manager to join our team. This role requires high business acumen, sharp analytical thinking, and the resourcefulness to identify, reach out to, and engage key decision-makers with new publishers

If you are passionate, eager to learn, and driven by results, we want to hear from you!

Key Responsibilities
Research and analyze a target list of digital publishers. Identify key stakeholders and execute creative, personalized outreach strategies.
Truly understand publisher needs and pain points to position our solution effectively.
Utilize analytical skills and data to compare metrics, demonstrate value, and showcase our video player's advantage over existing solutions.
Develop strong, long-term relationships with key decision-makers through active listening, deep industry understanding, and value-focused communication.
Support the end-to-end sales process, from lead generation to closing, alongside senior team members.
Partner closely with internal teams (Account Management, Technical Support, and Product) to ensure smooth onboarding and account growth.

We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities.
Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center.
Responsibilities:
Analyze data in our flagship product to uncover trends and deliver actionable insights.
Build and maintain BI dashboards and reports for decision-making.
Design efficient processes and standards for streamlined operations.
Translate business questions into clear, measurable analyses.
Ensure data quality through risk evaluation and QA practices.
Monitor operational performance and recommend improvements.
Integrate and manage data structures to support growth and scalability.

Were seeking a self-motivated Data Analyst with a strong sense of ownership and outstanding communication skills. As a key team member, you will play a crucial role in analyzing and deriving insights from product and marketing data to drive strategic decision-making. You will collaborate with various teams across the organization to optimize business processes, create and maintain BI reports and dashboards, and contribute to the companys data-driven culture.

You'll work directly with senior, data-driven stakeholders across the company, including executives outside Israel. Expectations are high, feedback is direct, and the work is visible. In return, you get real ownership, real impact, and the kind of proximity to business decisions that most analyst roles don't offer.


How Youll Spend Your Time
Surface actionable insights by identifying business trends, performance drivers, and anomalies across product, marketing, and financial data
Analyze large, complex datasets to answer strategic business questions and directly support decision-making across the organization
Define, track, and improve the KPIs that measure business and operational performance, ensuring stakeholders trust the numbers
Translate data into compelling visualizations and narratives that communicate key metrics, trends, and recommendations to business stakeholders
Drive product decisions through analytics and experimentation. Design and analyze A/B tests, measure feature adoption and funnel performance, and translate user behavior into insights that shape the roadmap
Build and maintain the data warehouse infrastructure, ETL pipelines, table structures, and schema design that powers reliable, timely analytics
Act as a subject-matter expert in analytics and BI tools, guiding stakeholders and team members toward better data-driven decisions
Own financial and transactional reconciliation. Validate revenue and performance metrics against partner-reported data at cent-level precision
Use AI tools effectively as a core part of the workflow, while maintaining a deep understanding of the data and code underneath

Were looking for an Operations Analyst to join our growing team , a fast-paced travel-tech startup transforming the way the travel industry operates through cutting-edge technology.
In this role, you'll be at the heart of our operations, ensuring that processes run smoothly, efficiently, and are continuously optimized. Youll work closely on our flag product, taking ownership of daily operations, data integrity, and customer health. Your responsibilities will include business analysis, identifying growth opportunities, and driving operational excellence.
This role is perfect for someone analytical, curious, and passionate about making an impact across multiple domains of the business. The position is based in Tel Aviv and Rehovot.
What You'll Do:
Monitor and maintain daily operations of our flagship product, ensuring all data-related tasks are completed accurately and on time.
Conduct customer and data investigations to uncover insights, optimize performance, and identify areas for improvement.
Perform customer health checks and develop strategies to maximize client satisfaction and engagement.
Analyze business processes and identify opportunities for operational improvements and efficiencies.
Implement standards and workflows to streamline operations and support company scale-up.
Collaborate with cross-functional teams to improve product flows and resolve operational challenges creatively.
Provide reports on operational performance and suggest actionable improvements.
Contribute to data structure integration and maintain high-quality data standards.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.