לוח משרות דרושים Data Analyst משרה מלאה, לחיפוש זה נמצאו 93 משרות

Were looking for a high performing, ambitious and self-motivated Business Strategy Manager to join our growing Strategy team. As a Business Strategy Manager, youll proactively seek scalable growth opportunities across the business, constantly question, challenge, and improve internal practices, and widely monitor all areas of the business and supply stakeholders with relevant action items.
Responsibilities
Perform research, monitor trends, and create reports to better understand user behavior, trends, game health, and how they relate to the company's overall strategy.
Design and develop structured methods, tools, and metrics to support efficient and advanced solutions to diverse business needs.
Design and execute tests independently to improve user experience.
Lead cross-organizational processes and best practices across the company.
Create and manage different revenue generators in the game to maximize profit.
Be responsible for data & knowledge management of treatments in the game and their impact; support decision making processes and execution methods.

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.

This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout Connecteam. Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.

Key Responsibilities
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.

Were looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. Youll work on the product-usage side of an AI product that thousands of developers rely on - understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. Its a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.

Be the go-to analyst for the product team - drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels.
Turn raw product and usage data into clear, consistent metrics the team can trust.
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time.
Build and maintain dashboards so teams can self-serve answers.
Run deep-dive analysis to surface opportunities and support product decisions and experimentation.
Extend into business and operational KPIs - conversion, churn, segmentation, customer value - and cost / unit-economics.
Take analyses from problem definition through to clear recommendations, not just reports.

Perform Client Due Diligence to evaluate the customer from a compliance perspective and ensure that all established procedures are followed while providing a great customer experience

Continuously improve streamlined processes to manage the end-to-end onboarding process from a financial crimes risk perspective

Work with the Compliance Team to ensure adherence to local and global compliance policies and procedures

Stay up-to-date on AML-related news and emerging regulatory developments Perform period reviews and support audits

We are looking for a highly analytical AI Product Analyst to join our core Product Analytics tech team. Operating at the intersection of data, Product and Tech, you will be the bridge between user behavior and model performance. You will partner with Product and Tech leadership to define KPIs, build the semantic layer for Product Agents, and iterate on AI outputs. Your insights will directly impact our strategy, drive feature adoption, shape our data infrastructure, and deliver measurable business impact.
Job responsibilities
Empower Strategic Decisions: Translate complex usage data into executive-ready dashboards and actionable recommendations that align cross-functional stakeholders.
Enable AI Data Infrastructure: Build and maintain the semantic layer for Product Agents to unlock intelligent, self-serve data discovery across the organization.
Drive Product Growth: Analyze the user journey to proactively identify adoption gaps and friction points, accelerating feature activation, retention, and growth.
Optimize AI & Feature Impact: Measure roadmap launches and iterate on prompt engineering and model evaluation to continuously elevate AI performance and user experience.
Standardize Metrics & Tracking: Partner with Product leadership to define core KPIs, unify metric definitions, and establish robust event tracking.
Accelerate Delivery Velocity: Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to streamline technical workflows and increase analytical output speed.

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.

The index analyst role is an entry level position that supports the Data Indices business. Analysts assist senior colleagues in collecting, validating and analyzing market and analytic financial instrument and index data to support index product development and maintenance and to respond to client inquiries.

Responsibilities
Research and validation of corporate actions impacting constituents of Fixed Income indices by consulting vendors and filings
Daily index production support: verify daily index and security-level pricing and analytics data; research and determine the appropriate disposition of identified exceptions
Monthly index rebalancing support: review and validate constituent additions and removals; find corroborating evidence to support rebalancing changes; respond to client rebalancing questions/challenges and work with the reference data operations team to resolve open issues
Prepare report templates, with standard charts and data tables, for regular monthly and quarterly research publications
Custom index setup and verification templates for senior analysts to review before launching the index
Collect data and prepare analyses in support of ad-hoc client requests

abra professional services is seeking a Project Manager! We are looking for an experienced Technological Project Manager to lead end-to-end development and implementation of AI solutions within a complex, multi-interface technical environment. This role requires a unique combination of technical and architectural understanding, strong client- and business-facing skills, and the ability to manage and drive development teams and vendors. Key Responsibilities:
* Lead technological projects from business requirement identification through definition, architecture, development, testing, deployment, and adoption.
* Translate business needs and objectives into functional/technical specifications and actionable development tasks.
* Drive projects focused on AI technologies, including integrating AI solutions into organizational workflows and legacy/enterprise systems.
* Work closely with system architectures, integrations, APIs, and cross-system interfaces.
* Oversee day-to-day execution in Jira—managing backlogs, sprint planning, task prioritization, dependencies, status updates, and progress tracking.
* Maintain ongoing communication with business owners and clients, managing expectations, requirements, and executive status reporting.
* Motivate and coordinate cross-functional development teams, internal departments, and external vendors to hit deadlines and deliverables.
* Concurrently manage multiple projects and interfaces, proactively identifying risks, bottlenecks, and mitigation strategies.
* Oversee UAT testing, production deployment, and system integration.

PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it's real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? We are looking for a Data Analyst with approximately 2 years of experience to join our team and help turn data into meaningful business insights. In this role, you will analyze data from multiple sources, build reports and dashboards, identify trends and opportunities, and support data-driven decision-making across the organization. You will work closely with different business and data teams, helping translate business questions into clear and actionable analyses.
What you'll do
* Gather, analyze, and interpret data from multiple internal and external sources.
* Create and maintain BI reports and dashboards for business stakeholders.
* Identify trends, patterns, and anomalies in data and translate them into actionable insights.
* Perform ad-hoc analyses to support business and operational decisions.
* Use SQL to extract, combine, and analyze data from different sources.
* Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
* Support improvements to reporting processes, data quality, and analytical capabilities.
* Present findings and recommendations to managers and business
* stakeholders to help guide day-to-day decisions.


Business Unit:
Data

Serve as the Workstream Lead for Unit Operating Cost (UOC) and Upstream Throughput Competitive Performance workstreams for EMED. Drive value creation by identifying, maturing, and delivering initiatives that improve production capacity, reliability, operational efficiency, and cost competitiveness. Act as the primary focal point between initiative owners, operations teams, business performance analysts, and leadership to ensure opportunities are captured, progressed, and realized. Translate benchmarking into actionable insights for EMED operations and leverage learnings from other offshore regions to drive progress in EMED.

Key Responsibilities

Own the UOC and Upstream Throughput opportunity portfolios and maintain a healthy initiative pipeline.

Identify and develop new cost reduction, reliability improvement, and production optimization opportunities through facilitated ideation sessions, integration into standing forums, and stakeholder engagement.

Steward maturation of initiatives, including resourcing decisions, business case reviews, implementation planning, and Competitive Performance (EP) tool management.

Assign and support Initiative Owners, clarify roles and responsibilities, and help remove execution barriers.

Work with Business Performance Analysts to develop business cases and validate value capture.

Track initiative progress, milestones, risks, and realized value.

Support throughput optimization, production debottlenecking, and reliability improvement opportunities across EMED assets.

Prepare dashboards, metrics, and updates for leadership and Performance Delivery Teams.

Support operations benchmarking studies (i.e., Solomon), and work with the central Benchmarking Team to gain business insights relevant to EMED operations.

Represent Competitive Performance in Operations and leadership forums.

Facilitate alignment across stakeholders to ensure initiatives are prioritized and progressed in support of regional Competitive Performance objectives.

Identify organizational barriers, competing priorities, and resource constraints, and collaborate with leadership teams to resolve them.

Build cross-functional relationships across EMED assets and organizations to improve collaboration and accelerate value delivery.

Support the Performance Delivery Lead, Workstream Sponsor, and Performance Delivery Team by preparing materials, providing insights, highlighting risks, and identifying opportunities for acceleration.

Promote a culture of recognition within Operations.

Required Algorithm Performance & Data Analyst (Full-Time)
About the team:
Join our Autonomous Vehicle (AV) validation division, where algorithmic theory meets real-world performance.
You will analyze and stress-test core algorithms powering autonomous driving, evaluating cutting-edge computer vision, machine learning, and multi-sensor systems to ensure safety and system reliability.
What will your job be like?
Lead the end-to-end performance analysis of complex algorithmic versions and production release candidates.
Design and execute statistical analysis workflows on high-volume sensor and drive data to spot regressions, edge cases, and systemic biases.
Leverage modern AI tooling (Cursor, Claude Code, LLM-assisted workflows) to accelerate analytical pipelines, automate reporting, and write validation scripts.
Work cross-functionally with Algorithm Engineers, System Architects, and Product Leads to make critical go/no-go production deployment decisions.
Synthesize multi-dimensional data findings into clear, actionable executive and technical reports.