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We are seeking a highly skilled Product Analyst to strengthen our core product analytics capabilities while also supporting rapid innovation in the B2B space. This role sits at the intersection of foundational analytics and forward-looking product discovery. You will help level up data-driven decision-making across the product organization by establishing clear, unified metrics for product success, while also partnering with a dedicated innovation squad to validate new product ideas through fast experimentation and proof-of-concepts.

This is a high-impact role for an impact-driven analyst who wants to own product decision-making end-to-end.


What Youll Do

Core Product Analytics & Adoption Insights (Primary Focus)

Act as the analytical owner of our product ecosystem, connecting the dots across teams, challenging assumptions, and calling out when data shows we are heading in the wrong direction.
Analyze and monitor holistic product health across Minute Medias product ecosystem, including adoption, engagement, retention, and usage funnels.
Develop and maintain comprehensive dashboards in BI tools such as Looker, providing product leadership with a clear, consolidated view of performance against strategic goals.
Partner closely with Product Managers to define success metrics for new features and initiatives, ensuring every launch has clear, measurable objectives.
Conduct deep-dive analysis to understand user behavior, identify usage patterns, and segment users or partners by engagement, product mix, or lifecycle stage.
Diagnose performance issues or opportunities, translating data into actionable insights and clear recommendations for product strategy and prioritization.
Innovation & Experimentation Support (Secondary Focus)

Serve as the dedicated analytics partner for a cross-functional innovation squad focused on developing and testing net-new products.
Define measurement frameworks and success metrics for experiments, pilots, and proof-of-concepts, ensuring fast learning cycles.
Analyze A/B tests and experimental results, delivering clear guidance on whether to iterate, pivot, or scale new ideas.
Collaborate with engineers and product teams to define event tracking specifications for experimental features and new products.
Provide rapid, good enough insights in a fast-paced environment, translating ambiguous questions into practical data points that keep momentum high.
Strategic Collaboration & Communication

Work cross-functionally with Product, Engineering, BI, Design, and commercial teams to align analytics with business and product goals.
Present insights and recommendations clearly and persuasively to non-technical stakeholders, influencing roadmap decisions and investment priorities.
Contribute an analytical perspective to product strategy discussions, helping teams understand not just what is happening, but why.

We're looking for a Product Data Analyst with fraud expertise to serve as fraud gatekeeper, helping us stay one step ahead of fraudulent claims.
You'll partner closely with our Analytics and other Data Teams, Special Investigation Unit, and Underwriting teams to flag and prevent potential risks that could impact our business. This role is about shaping fraud detection strategies by leveraging data to solve complex product and business problems - tackling analytical questions, monitoring key metrics, modeling intricate datasets, and delivering actionable insights that directly influence our strategy.
In this role youll:
Shape fraud detection strategies by analyzing claim patterns, testing new prevention methods, and building data-driven recommendations that protect the business
Partner closely with cross-functional teams including Special Investigation Unit, Underwriting, Analytics, Product, and Data teams to flag risks and improve decision-making
Design and execute A/B tests on key flows and processes to strengthen fraud defenses and optimize detection capabilities
Monitor and analyze key metrics through fraud trend detection, feature tracking, experiments, and platform health monitoring to stay ahead of emerging threats
Model complex datasets using Snowflake, Python, and other tools to uncover hidden fraud patterns and business risks
Deliver actionable insights by presenting findings and recommendations to stakeholders across the company to drive product and business decisions
Explore new data opportunities by leveraging internal and external data sources to improve fraud mitigation and push product strategy forward

We are looking for a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across Blockaid to uncover trends, identify opportunities, and help guide the direction of our business.



Your Chain of Impact:



Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.

We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents.
By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability.
As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
About The Role
Were looking for an experienced Sales Analyst to partner closely with Sales Operations and act as a proactive analytical force across our GTM organization.
This role combines deep analytical ownership with ongoing responsibility for CRM data quality, ensuring that insights, forecasts, and decisions are built on reliable, trusted data.
This is not a reactive reporting role, it's for someone who actively monitors, analyzes, and improves the health of both our data and our sales performance.
About Your Day To Day

Proactively analyze sales pipeline, bookings, revenue, and funnel performance across segments, regions, and reps
Monitor pipeline health, coverage ratios, conversion rates, and forecast accuracy
Identify trends, anomalies, and risks and proactively surface them to Sales Ops and leadership
Own ongoing CRM data hygiene, including:
Monitoring data completeness, accuracy, and consistency
Identifying gaps or misuse in pipeline stages, deal fields, and forecasts
Partnering with Sales Ops to drive corrective actions with the sales team
Build and maintain analytical models to support:
Forecasting and scenario planning
Performance tracking and productivity analysis
Win/loss and deal level analysis
Work hands on with spreadsheets, BI tools, and data warehouses to transform raw data into actionable insights
Partner closely with Sales ops on planning cycles, QBRs, and strategic initiatives
Collaborate with RevOps, Finance to align definitions, metrics, and data sources
Translate complex data into clear narratives and recommendations for non technical stakeholders
How Success Will Look Like
CRM data is trusted, consistent, and decision ready
Pipeline and forecast accuracy improve quarter over quarter
Data quality issues are identified and addressed proactively, not discovered during QBRs or at quarter end
Leadership relies on your insights to guide sales strategy and execution
Sales Ops views you as a core partner in running the business
Analytical insights directly influence sales behavior and outcomes.

looking for a motivated, ambitious, and independent Game Economy Manager to be our mathematical product expert for the hybrid-casual games, with an entrepreneurial spirit and passion. To succeed in this role, you have to breathe the gaming market, and support our internal and external partners in crafting and shaping our games with innovative decisions based on your knowledge, expertise and data
What you'll be doing
Design, monitor, balance and lead the economy model and user experience from an economy point of view to drive players' engagement and improvements in game KPIs such as retention and ARPDAU
Build and analyze pricing funnels to increase IAP share of wallet
Identify areas where sinks/sources should be tightened or loosened to improve engagement, retention and revenue
Conducting AB tests of different economy strategies that can help improve our games LTV
Price the games virtual currencies and Recommend rewards and monetization game features to build an economic system to fulfill player needs
Collaborate with our Data/BI teams in crafting economy reports, user segmentations and dashboards to allow all partners to be aware of the current status in our games economy and the valuable KPIs around this activity
Collaborate with cross-functional teams such as product, developers, data, monetization on designing new and existing features to improve player satisfaction and provide additional monetization opportunities

Success Indicators: In the short term, youll master our data architecture and SQL environments; long term, you will own the optimization strategies that drive revenue growth for the worlds leading mobile games and apps.

Your Impact: You aren't just reporting numbers; you are the architect of actionable insights that steer our product and business evolution.

What you'll be doing
Monitor & Visualize: Build and maintain automated dashboards to track product performance across global clients, identifying trends and churn risks.
Strategic Deep-Dives: Perform granular data analysis to uncover opportunities for product improvements and customer retention.
A/B Testing: Design and analyze experiments to directly influence user experience and revenue growth.
Cross-Functional Collaboration: Partner with Product and Engineering teams to translate data patterns into roadmap priorities.
Stakeholder Presentation: Communicate complex findings to internal leadership and external partners to align on growth strategies.

Were looking for a Business Analyst to join Orca AIs Customer Success team, working closely with the Data team to bridge insights and action. This is a cross-functional role that blends analytical depth with commercial and operational impact - helping us turn data into meaningful insights for customers and internal teams.

Youll drive how we analyze, interpret, and communicate data - ensuring clients see the value in every metric and the CS team operates on clean, reliable, and actionable insights. Youll also occasionally present findings directly to clients, support business reviews, and partner with Customer Success Managers in demonstrating the strategic value of our insights and analytics.

Key Responsibilities:

Customer-Facing Analytics & Reporting
Develop and deliver data-driven analyses for QBRs, ABRs, and ongoing performance reviews.
Build and maintain monthly client facing reports, uncovering operational trends and actionable insights.
Conduct ad-hoc investigations into performance anomalies, KPIs, or client-specific questions.
Partner with Customer Success Managers to frame insights in a way that drives impact and engagement.
Data Strategy & Visualization
Shape the data storytelling framework we use with customers - defining what we show, how we show it, and why.
Work with Product and Data teams to identify new analytical opportunities from our data points and product telemetry.
Design and evolve dashboards, visualizations, and templates that scale across accounts and regions.
Data Integrity & Governance
Own data accuracy for CS-facing analytics: ensure data pipelines, reports, and KPIs are clean, consistent, and aligned with internal definitions.
Partner with the Data team to implement validation, QA, and documentation processes that keep client-facing reports trustworthy.
Contribute to standardizing KPIs, metrics definitions, and data structures across CS and Product.
Cross-Functional Enablement
Act as the analytical bridge between Customer Success, Data, and Product.
Support strategic account planning with data-based insights and recommendations.
Build scalable processes and templates for analysis and reporting across the customer lifecycle.

Data/Business Analyst - Marketing
Job Description
As a Business Analyst, youll be a strategic partner, transforming data into impactful decisions that drive our North Star goal. In your day-to-day, you will:
Drive decision-making by defining initiatives, measuring impact, and providing proactive recommendations from deep-dive analyses
Research, define, and rigorously analyze key metrics, understanding root causes and ensuring valid, actionable measurement using statistical methods
Leverage Generative AI and Large Language Models to enhance data exploration, automate analysis, and accelerate insight generation
Lead the design, execution, and interpretation of A/B tests and experiments, guiding product and marketing strategy
Analyze complex user funnels and journeys to identify friction points and optimize paths for engagement and conversion
Pioneer automated tools and build advanced dashboards to empower stakeholders with actionable insights and foster a data-fluent culture .

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.