As our Manager, Fraud Analytics, you will:

• Define requirements, manage delivery cadence, document methodologies, and ensure controls/traceability across the analytics lifecycle
• Analyze fraud trends, typologies, and emerging threats using internal/external data to identify root causes and actionable interventions
• Monitor and improve key metrics (e.g., fraud loss rate, detection/true positive rate, false positives, client friction, alert volumes, operational capacity impacts)
• Recommend and test changes to rules, thresholds, segmentation, and model features
• Produce clear recommendations for Fraud Management, Operations, Product, Digital, and Technology, support implementation and post-change validation
• Create concise dashboards and narratives that connect fraud decisions to client experience and business outcomes
• Ensure analyses and changes are well-controlled, auditable, and aligned to relevant policies, model risk expectations, and regulatory considerations

You'll likely have the following qualifications to succeed in this role:

• Analytics experience in fraud, financial crime, risk analytics, or payments (banking preferred)
• Advanced capability in SAS/SQL and Python or R
• Proven ability to translate complex analysis into business decisions and influence cross-functional partners without formal authority
• Experience with card, digital payments, digital authentication, account takeover, application fraud, or transaction monitoring
• Dashboarding experience (e.g., QlikSense, Tableau, Power BI)
• Analytical depth, curiosity, and structured problem-solving
• Data storytelling and stakeholder management
• Pragmatic, outcome-driven mindset
• Strong attention to detail and control discipline
• Collaborative working style

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies.

We're looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.

Responsibilities

• Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
• Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.
• Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
• Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
• Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.
• Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
• Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

Requirements

• 4+ years professional experience in data science, product analytics, or data engineering
• 1+ years professional experience working in healthcare, consumer health, or high-touch consumer products
• Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
• Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
• Passionate about improving maternal health outcomes and creating exceptional patient experiences
• Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
• Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
• A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
• Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Bonus Points

• Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications
• Background in healthcare AI, clinical decision support, or medical NLP

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Responsibilities: Work on operations problems from real-world business scenarios that align with your expertise, providing accurate solutions, detailed annotations, and model critiques where you can confidently evaluate responses (e.g., process mapping and optimization, SOP development, capacity planning, root cause analysis, and KPI dashboard design). Utilize proprietary software to provide accurate input and labels to deliver high-quality data. Collaborate with technical staff to improve the design of efficient annotation tools. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Qualifications: 5+ years of practical operations experience (hands-on role in business operations, process improvement, or manufacturing/services operations leadership). Proficiency in process mapping and operations tools (e.g., Lucidchart, Visio, ERP systems such as SAP, Oracle, or NetSuite for internal operations; dashboarding in Tableau or Power BI). Strong analytical skills for evaluating operational inefficiencies, root cause analysis, and trade-off decisions. Ability to navigate operations resources such as SOPs, KPI dashboards, quality reports, and performance metrics. Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in business.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Solutions Engineer Intern, you'll join Cloudflare's APAC Solutions Engineering, Center of Excellence (COE) team as part of a small cohort of interns working directly with the team running an internal AI initiative. The goal is to build AI capabilities across SE, Sales, and GTM functions in APAC.

Responsibilities

• Build and test an AI agent or internal chatbot to help SE and Sales teams work faster, built on Cloudflare Workers AI and AI Gateway
• Design and prototype a demo that shows Cloudflare's AI platform capabilities for a real customer use case
• Write scripts or lightweight tools that cut manual work out of GTM workflows
• Dig into usage or productivity data to see what impact the tools your team built are actually having
• Present your work at a team showcase or sprint review

Success Looks Like

• Ship at least one internal AI tool that SE or GTM colleagues are actively using
• Contribute to tools or demos that make a real difference to how the team works
• Leave with at least one piece of work the wider team can pick up and use

Requirements

• Can write working code in Python, JavaScript, or a similar language and ship things independently
• Have a basic understanding of how the web works: HTTP, REST APIs, DNS, TLS
• Can explain what you built and why, to a technical or non-technical audience
• Are curious and self-directed. You try things before asking
• Able to commit to a minimum 12 week summer internship from May to August 2026
• Able to work from office 3-5 days a week in Singapore

It would be awesome if you also:

• Have played around with LLMs, AI APIs, or prompt engineering, even just in side projects, coursework, or a hackathon
• Have used any part of the Cloudflare developer platform: Workers, R2, Pages, or anything similar
• Have experience with data analysis or lightweight dashboarding (Python, notebooks, etc.)
• Have shipped something as part of a team: a university capstone, hackathon project, open source contribution, or a previous internship

Technologies we work with

Cloudflare Workers, Workers AI, AI Gateway, Vectorize, Pages, R2, D1, KV · Python · JavaScript / TypeScript

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Responsibilities:

• Metrics & Insights: Wrangle large, highly complex datasets using SQL and AI to create actionable insights and become the data expert for your business area.
• Communicate: Create narratives and documents that tell the story of your business area to influence Operations and Enablement team decision making.
• Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams.
• Strategic Initiatives: Own end-to-end delivery of strategic, analytical projects that require scoping, defining metrics / success, and delivering reporting to track program health.
• Planning: Help support in goal setting, strategy and planning rhythms across partner teams.
• AI Enablement: Champion an AI-first way of working within the team , staying current with the latest AI tools (e.g., Claude, Agents), applying these to accelerate your own day-to-day work, and helping to develop and share standardised, safe AI query frameworks (SOT prompts) that the broader Operations organisation can adopt confidently

qualifications:

• 4+ years of prior experience in analytical and strategic roles
• Outstanding analytical ability, expert in SQL, dashboarding, and understanding of data relationships
• Outstanding communication, presentation skills & senior stakeholder management skills
• Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
• Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy

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Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.

In this role, you'll:

• Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
• Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

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Responsibilities:

• Work on operations problems from real-world business scenarios that align with your expertise, providing accurate solutions, detailed annotations, and model critiques where you can confidently evaluate responses (e.g., process mapping and optimization, SOP development, capacity planning, root cause analysis, and KPI dashboard design).

• Utilize proprietary software to provide accurate input and labels to deliver high-quality data.

• Collaborate with technical staff to improve the design of efficient annotation tools.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Qualifications:

• 5+ years of practical operations experience (hands-on role in business operations, process improvement, or manufacturing/services operations leadership).

• Proficiency in process mapping and operations tools (e.g., Lucidchart, Visio, ERP systems such as SAP, Oracle, or NetSuite for internal operations; dashboarding in Tableau or Power BI).

• Strong analytical skills for evaluating operational inefficiencies, root cause analysis, and trade-off decisions.

• Ability to navigate operations resources such as SOPs, KPI dashboards, quality reports, and performance metrics.

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in business.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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As a trusted advisor to senior sales leadership, you will use financial insights to shape investments, improve forecasting accuracy, and optimize how we build our GTM. Your work will support Stripe's ambitious global expansion and help accelerate growth in our enterprise customer base.

Responsibilities:

• Lead strategic finance support for the Product Sales and Alliances and Channels organization and manage a team, driving insight into user-level performance, sales performance, pipeline conversion, quota attainment, and strategic account planning - contributing to recurring business performance reporting cadences.
• Own forecasting, planning / target setting, and budgeting processes for Product Sales and Alliances and Channels; provide actionable insights that support investment decisions and sales efficiency.
• Collaborate with Sales, Sales Operations & Strategy, and Marketing to assess productivity metrics of investments in Renewals, Customer Success and Solutions architects.
• Build dynamic financial and operating models and playbooks to evaluate new sales strategies to improve product attach and cross sell for Renewals and New Sales motions; and improve win rates and average deal sizes through Solutions architects attach on deals.
• Refine, scale, and where necessary implement robust reporting and dashboards that track KPIs including our productivity metrics and key investment drivers.
• Identify and drive opportunities for process automation and data streamlining to improve reporting accuracy and decision velocity.
• Serve as a key contributor to quarterly business reviews and long-range planning exercises, providing strategic recommendations and scenario analyses.
• Translate complex financial and sales data into clear narratives for executive audiences.

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You will work with HR professionals, engineers, data scientists, and leadership stakeholders to define project scope, goals, timelines, and resource requirements.

Key responsibilities:

• Work with your team to organise and optimise a portfolio of HR software & data projects, including migrations to new systems and applying new AI techniques to tools & data.
• Act as the system owner and domain expert for GDM's HR tooling & people data stack; understand how tools connect to each other, how they interact with Google systems, and how their data is used downstream.
• Develop, maintain, and improve reporting & dashboards based on HR system data
• Produce user guides, process documentation, and other forms of educational resources.
• Collaborate with teams across both GDM and Google to ensure that GDM's People & Culture priorities are effectively translated into delivery plans, and available resources are used on the most important problems
• Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans etc
• Clarify, communicate, and drive decisions where tradeoffs are necessary between HR process priorities and HR tooling & data options.
• Effectively translate technical information to non-technical audiences, ensuring clarity and alignment
• Work effectively across international teams and various stakeholders.
• Track progress, maintain up to date information and relevant technical documentation, anticipate and propose solutions to issues and risks
• Troubleshoot and resolve technical challenges, making sound decisions that balance feasibility and project timelines.
• Critically evaluate technical proposals, understanding the trade-offs between different approaches, and weigh in on the viability of solutions
• Demonstrate a curious mindset and a commitment to learning and understanding your team's technical field, and your broader understanding of AI

Requirements:

• Passionate about AI & proactive about learning and acquiring knowledge to enhance your domain knowledge
• Strong technical understanding of HR tools & systems, including experience with platform migrations
• Thrive in collaborative environments, bridging the gap between engineers and stakeholders, ensuring everyone is working towards a shared vision
• Introductory understanding of SQL, dashboarding, and generating reports from raw data
• Comfortable in a fast-paced, ambiguous environment, taking ownership and driving projects independently
• Flexible, adaptable and highly responsive to the needs of the project, team and wider group
• Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes, ensuring alignment between technical teams and business stakeholders
• Natural problem-solver, readily identifying the root causes of technical challenges to implement elegant solutions
• Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI's responsible use, risks, and limitations
• BS degree in Computer Science, Engineering, or related technical field
• Knowledge of Software Development Lifecycles
• Product Management experience (direct or partnering closely)

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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We are looking for a Senior Digital Media Consultant to join our London-based consulting team. As a Senior Digital Media Consultant, you will play a key role in delivering data-led projects to multiple big brand clients across industries such as luxury, automotive, retail and beauty.

You will work as part of a small, collaborative team and contribute to promoting a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions.

Responsibilities

Within your first year at Fifty-Five, you will be responsible for the following:

• Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client-facing position, supported by a team of technical specialists

• Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate

• Developing a sharp, operational expertise about web analytics and media-buy topics

• Occasional travel possible, within the UK or abroad

Relevant Experience

• Educated to degree level

• 3+ years experience in activation of marketing campaigns (Paid Search/ Programmatic Display/ Paid Social) across both Brand and Performance strategies

• Hands on experience working directly with various advertising technologies (DV360, Google Ads, Campaign Manager, Search Ads 360, Meta Ads Manager etc)

• Experience working with clients across multiple markets and/or brands is preferable

• Knowledge and track record of creating/ deploying cross-channel strategies, activating media tests and audience-led marketing programmes

• Preferably leveraging Google analytics for advanced reporting and working knowledge of media measurement (Attribution, MMM, Incrementality)

• Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau)

• Proven track record of working within cross-functional / cross-platform digital projects with large groups of stakeholders and project team members

• Analytical mindset, keen to apply data to challenges

• Detail oriented, proactive and self-motivated, good organisation is paramount

• Curious and eager to learn, able to challenge and recommend solutions to problems

• Flexible, versatile and works well under pressure

• Collaborative, works well in a team, understands that the sum of our parts is better than the individual

• Strong interest in new marketing technologies & the digital industry

• Interest in working in a small, growing team

• Have the right to work in UK

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We are looking for ambitious, analytical graduates to join our London-based consulting team as a Digital Analytics Consultant. This is a varied role that spans across digital strategy, media advisory website architecture, UX analysis and business insights.

As a Digital Analytics Consultant, you will play a key role in delivering data-led projects to multiple big brand clients across industries such as travel, automotive, retail and beauty. These projects will be driven by client objectives relating to data collection, customer acquisition, onsite conversion optimisation and media-mix optimisation. You will be required to promote a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions.

Responsibilities

Within your first year at Fifty-Five, you will be responsible for the following:

• Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client-facing position, supported by a team of technical specialists

• Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate

• Developing a sharp, operational expertise about web analytics and media-buy topics

• Occasional travel possible, within the UK or abroad

Relevant Experience

• Educated to degree level

• Analytical mindset, keen to apply data to challenges

• Detail oriented, proactive and self-motivated, good organisation is paramount

• Curious and eager to learn, able to challenge and recommend solutions to problems

• Flexible, versatile and works well under pressure

• Collaborative, works well in a team, understands that the sum of our parts is better than the individual

• Strong interest in new marketing technologies & the digital industry

• Interest in working in a small, growing team

• Have the right to work in the UK

Desired Experience

• Masters degree level

• Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics)

• Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata)

• Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau)

Benefits

• Being part of a multicultural, dynamic and fast-growing team

• Continuous (and certified) training on the digital ecosystem and technologies

• Phone allowance

• Private medical coverage through AXA

• Transport for London travel card allowance - covering 50% of zone 1-2 allowance

• The flexibility to work remotely for part of the week

• 25 days holiday per year, in addition to UK bank and public holidays

• Company pension plan

• Company-sponsored sporting and social activities

• Cyclescheme

Fifty-Five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.

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We are seeking a GRC Automation Lead to join our GRC organisation and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems.

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalise it, and make it actionable.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments.

Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities:

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.

• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.

• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.

• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.

• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.

• Design and deploy agentic AI workflows that extend team capacity, using Claude to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.

• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.

• Build and lead the GRC Automation function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.

• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.

• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems, not your programming language proficiency.

• Proficiency to write production level code in at least one programming language (e.g., Python, Rust, Go)

• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalise it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.

• Understand APIs and integration patterns conceptually: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation, even if you're not writing the integration code yourself.

• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.

• Have strong analytical and problem-solving skills, with the ability to break down complex problems into manageable parts and develop creative solutions.

• Are able to communicate complex technical ideas to both technical and non-technical stakeholders, with a strong focus on collaboration and teamwork.

• Are passionate about staying up-to-date with industry trends and emerging technologies, with a willingness to learn and adapt to new tools and techniques.

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What you'll do

• You will design, review, and improve telemetry tracking plans for key shooter gameplay features and systems, ensuring accurate capture of player behavior, game state changes, and feature engagement metrics.

What you need

• 4+ years of experience in game development, quality assurance, analytics, or telemetry-related roles.

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