MeGaDev

N.B.! Location: remote from Latvia/Lithuania; 

JD:

In a partnership with one of the global consulting enterprises, we are looking for a Software Engineer in Test specializing in Android applications to join our Account Mobile QA team. You will be responsible for designing, implementing, and maintaining automated test frameworks to ensure the reliability, functionality, and performance of our mobile products. This role requires strong Kotlin or Swift skills, hands-on mobile testing experience, and a collaborative mindset to work closely with developers, product owners, and UX teams.

Key Responsibilities:

• Define, communicate, and implement effective test approaches.
• Review and understand functional requirements, raising valid questions and risks early.
• Collaborate closely with developers and QA engineers to ensure products meet specifications and quality goals.
• Develop, enhance, and maintain automated test frameworks to validate both functional and non-functional requirements.
• Troubleshoot, reproduce, and verify reported defects, identifying root causes and providing detailed feedback.
• Produce clear, concise reports that demonstrate test coverage and product quality.
• Communicate testing status, progress, and risks to stakeholders.
• Follow QA best practices and contribute to process improvement within the team.

Essential Skills and Experience for Android:

• 2+ years of experience testing native Android applications.
• Strong coding skills in Kotlin (Java experience is a plus).
• Hands-on experience writing automated tests with Espresso or similar Android testing frameworks.
• Solid understanding of mobile testing practices, SDLC, and agile methodologies.
• Proven collaboration with developers, UX designers, and product owners to deliver high-quality mobile apps.
• Excellent communication and cross-team coordination skills.
• Experience planning, executing, and reporting test strategies in agile, cross-functional teams.

Thank you for your application! 

We carefully review all resumes; however, due to the high number of applications, we are only able to respond to candidates whom we plan to invite to the next stage. If you do not receive a response, please consider this as our decision not to proceed with your application for this position at this time.

Thank you for your understanding.

We are looking for a strong, confident, and hands-on Process & Platform Architect to design and evolve our document management ecosystem within a regulated banking environment.

This is not a people management role. We are looking for a senior practitioner who can architect processes, define platform boundaries, and establish governance frameworks that will scale across the organization.

You will work closely with the Head of Department and Operations leadership.

Responsibilities

• Define platform strategy, service catalogue, and adoption model
• Design storage tiering logic (active/archive), versioning workflows, and integration patterns
• Establish API governance standards (versioning, lifecycle, deprecation)
• Define operating model for metadata ownership, retention policies, and access governance
• Apply LEAN principles to redesign and optimize document lifecycle processes
• Define and track KPIs (adoption, search success, time-to-retrieve, cost-to-serve)

Requirements

• 7+ years in process architecture, platform design, or enterprise solution design
• Strong experience with document management systems and compliance-driven environments
• Technical background with SharePoint, AWS (S3, OpenSearch), Java Spring, APIs
• Experience defining governance frameworks and operating models
• Proven ability to apply LEAN methodology
• Strong stakeholder management skills in complex environments

Nice to Have

• Experience modernizing legacy integrations into API-led architectures
• Microsoft 365 compliance & governance knowledge

• Experience implementing AI-driven automation in document workflows
   

  Location requirement:
  Lithuania, Latvia, Spain, Portugal, Poland, Romania, Slovakia, or the Czech Republiс. On-site workshop once per month is expected in Baltic states for 2 days.

We’re looking for a strong, hands-on Technical Product Owner to lead a cross-organizational document management platform in a regulated banking environment. This is not a coordination role — we need a mature consultant-type PO who can combine strategic product thinking with deep technical understanding (AWS, SharePoint).

Key Responsibilities:
Own and drive the product vision, roadmap, and delivery of a cross-organizational document management platform in a regulated banking environment. Translate complex legal and compliance requirements (retention, classification, auditability, legal hold) into clear, actionable user stories and ensure alignment with governance frameworks.

Collaborate closely with engineering and architects, making informed technical decisions around AWS (S3, IAM, encryption), SharePoint/M365, APIs, and security fundamentals. Lead backlog prioritization, stakeholder alignment, and Agile delivery while ensuring the platform remains secure, compliant, and scalable.

Required Experience:

• Proven experience as a Senior / Technical Product Owner in enterprise or regulated environments (banking, fintech, insurance).
• Strong technical understanding of:
  • SharePoint / Office 365
  • AWS (S3, IAM, encryption, access control)
  • APIs and backend integrations
• Practical experience with document lifecycle management, retention policies, and compliance-driven platforms.
• Experience working in Agile environments with cross-functional teams.

• Confident stakeholder management and consultant mindset.
   

  Location requirement:
  Lithuania, Latvia, Spain, Portugal, Poland, Romania, Slovakia, or the Czech Republiс. On-site workshop once per month is expected in Baltic states for 2 days.

N.B.! Location: remote from Latvia/Lithuania; possible relocation (the company provides support).

JD:
In a partnership with one of global consulting companies, we are searching for a Principal Software Engineer In Test. The client is a UK-based telecommunication company.

Responsibilities:

Maintain the quality of the company’s Customer Data Platform (CDP) by validating accuracy, performance, consistency, and reliability. T

his involves working across internal and external teams to ensure the platform continues to operate effectively.

Testing multiple third party integrations along with company teams.

Our CDP is powered by AWS Redshift, mParticle, and Airship, and the testing will focus on ensuring seamless data ingestion, transformation and storage.

Requirements:

·      Expertise of 10+ years with key data and platform testing practices, including schema validation, data integrity, performance, security testing, and notification validation.

·      Experienced in building Test Automation Frameworks and test suites, following industry best practices.

·      Experience in non-functional testing.

·      Excellent proactive communication skills and confidence working with stakeholders in multiple locations and part of an Agile team.

In partnership with a Swiss consulting company specialized in SAP solutions, we are looking for an experienced Senior SAP MDG Developer / Technical Lead

Key Responsibilities:

• Provide technical leadership in the implementation and enhancement of SAP Master Data Governance solutions
• Perform data modeling, UI modeling, workflow configuration, and BRF+ rule implementation
• Configure master data consolidation tools and mass data load processes
• Develop and enhance solutions using advanced SAP ABAP (OO ABAP, BAdIs, user exits, enhancements)
• Integrate MDG UI and UI triggers with external APIs (e.g., USPS, DQM microservices)
• Build and maintain integrations via Web Services, IDoc, and RFC
• Develop responsive and user-friendly applications using SAP Fiori and SAPUI5
• Integrate MDG
• Work within the architecture of SAP NetWeaver
• Collaborate on integrations using third-party tools such as Dell Boomi (nice to have)

Requirements:

• 8–10+ years of experience building and managing MDM solutions (SAP MDM / MDG)
• At least 2 full-cycle SAP MDG implementations in a Technical Lead role
• Strong expertise in SAP MDG technical development and implementation
• Solid experience in data modeling, integration design, and business workflow alignment
• Deep knowledge of master data consolidation and mass data processing tools
• Strong SAP ABAP programming skills
• Experience working with pharmaceutical commercial syndicated datasets, affiliations, and hierarchies
• Understanding of modern cloud-based MDM technologies and platform solutions

Nice to Have:

• Experience with Dell Boomi or other third-party integration platforms
• Background in pharmaceutical industry projects
• Experience with modern cloud MDM architectures
   

Work schedule US time zone

You will play a key role in improving and maintaining the Amazon Redshift data warehouse, supporting analytical and ad-hoc workloads, and ensuring high availability and performance of Data APIs, Customer Data Platform services, and other business-as-usual (BAU) data services.

This is a high-impact role requiring strong ownership, architectural thinking, and hands-on engineering expertise.

Key Responsibilities:

• Improve performance and optimize costs of the Amazon Redshift data warehouse.
• Design and maintain scalable, secure, and reliable AWS-based data architecture.
• Support analytical and ad-hoc workloads, ensuring high availability of Data APIs and Customer Data Platform services.
• Implement infrastructure-as-code (CDK, CloudFormation) and maintain advanced AWS networking configurations (VPC, Transit Gateway, PrivateLink).
• Build and maintain integrations using REST APIs, SQS, SNS, and Kinesis.
• Apply DevOps best practices, CI/CD, TDD, and observability to ensure system reliability and quality.
• Develop solutions with scalability, security, and performance as core principles.

Required Experience & Skills:
5+ years of experience as a DataOps Engineer or similar role.

• Strong expertise with:
  • Amazon Redshift
  • Amazon Aurora
  • Amazon DynamoDB
• Deep knowledge of AWS cloud services (S3, EC2, Lambda, IAM, Athena, Managed Airflow).
• Hands-on experience with infrastructure-as-code (CDK, CloudFormation).
• Advanced AWS networking and security configuration experience.
• Proficiency in at least one programming language (Python or Java).
• Strong understanding of TDD and automated testing practices.
• Experience building distributed, event-driven systems.
• Solid understanding of DevOps, CI/CD, and modern engineering workflows.
• Experience designing systems for high scalability, performance, and resilience.

!!! Location: remotely from  Latvia, Lithuania, lower priority - Spain/Portugal/Romania/Slovakia/Hungary/Czech Republic!!!

In a partnership with one of global consulting companies, we’re looking for a Principal Data Engineer (Product Data Domains). The client is a UK-based telecommunication company.

Product Group is responsible for the design, development, and delivery of the company’s portfolio of digital products.  Our portfolio is diverse and contains some of the largest and highest-profile properties on the UK internet. We’re a huge streaming media destination, a news source trusted across the world, a provider of educational and entertaining content to children of all ages, and a sports results, analysis, and commentary service, and much more besides. It's an unparalleled portfolio of products, and our strength is our range and breadth. Working with the company’s content divisions, our focus now is on driving engagement across our portfolio so that the our service becomes a valued daily habit for all audiences just as television and radio have been over the last century. 

Data is fundamental to our future: both in helping us prioritise and shape our work and in creating richer, more personalised experiences for our audiences. And our portfolio means that we’ve got one of the widest, most diverse, and most exciting datasets to work within the UK. 

The Role 

The Principal Data Engineer will support the Product Data Domain teams. You will build ETL pipelines to ingest and transform data to develop the data products that will power key value use cases across the company. You will work in an agile multi-disciplinary team alongside product analytics developers, product data managers, data modelers and data operations managers, ensuring that all work delivers maximum value to the company. 

Role and Responsibilities 

Role and responsibilities will comprise of: 

• Leads and architects on developing robust and scalable complex data pipelines to ingest, transform, and analyse large volumes of structured and unstructured data from diverse data sources. Pipelines must be optimised for performance, reliability, and scalability in line with the client scale.  
• Lead initiatives to enhance data quality, governance and security across the organisation, ensuring compliance with client guidelines and industry best practices. 
• Prioritises stakeholders requirements and identify the best solution for timely delivery. 
• Leads on building automation workflows including monitoring and alerting. 
• Encouraging and mentoring team members in partnership with other disciplines to create value with data across the wider organisation.  
• Helps set standards for coding, testing and other engineering practices. 
• Leads on the building and testing of business continuity & disaster recovery procedures per requirements. 
• Proactively evaluates and provides feedback on future technologies and new releases/upgrades based on deep understanding of the domain. 

Are you the right candidate? 

When it comes to data engineering, we look for the following skills. 

Technical skills 

• Extensive (5+ years) experience in a data engineering or analytics engineering role, preferably in digital products. 
• Extensive experience in building ETL pipelines, ingesting data from a diverse set of data sources (including event streams, various forms of batch processing) 
• Excellent SQL and python skills. 
• Extensive use of AWS  
• Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). 
• Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow.  
• Demonstrable experience of working alongside cross-functional teams interacting with Product Managers, Infrastructure Engineers, Data Scientists, and Data Analysts. 

Teamwork and stakeholder management   

• Ability to listen to others’ ideas and build on them   
• Ability to clearly communicate to both technical and non-technical audiences.  
• Ability to collaborate effectively, working alongside other team members towards the team’s goals, and enabling others to succeed, where possible.  
• Ability to prioritise. A structured approach and ability to bring other on the journey.   
• Strong attention to detail 

The Role 

The Principal Data Engineer will support the Product Data Domain teams. You will build ETL pipelines to ingest and transform data to develop the data products that will power key value use cases across the company. You will work in an agile multi-disciplinary team alongside product analytics developers, product data managers, data modelers and data operations managers, ensuring that all work delivers maximum value to the company. 

Role and Responsibilities 

• Leads and architects on developing robust and scalable complex data pipelines to ingest, transform, and analyse large volumes of structured and unstructured data from diverse data sources. Pipelines must be optimised for performance, reliability, and scalability in line with the client scale.  
• Lead initiatives to enhance data quality, governance and security across the organisation, ensuring compliance with client guidelines and industry best practices. 
• Prioritises stakeholders requirements and identify the best solution for timely delivery. 
• Leads on building automation workflows including monitoring and alerting. 
• Encouraging and mentoring team members in partnership with other disciplines to create value with data across the wider organisation.  
• Helps set standards for coding, testing and other engineering practices. 
• Leads on the building and testing of business continuity & disaster recovery procedures per requirements. 

• Proactively evaluates and provides feedback on future technologies and new releases/upgrades based on deep understanding of the domain. 

   

  Are you the right candidate? 

  When it comes to data engineering, we look for the following skills. 

Technical skills 

• Extensive (5+ years) experience in a data engineering or analytics engineering role, preferably in digital products. 
• Extensive experience in building ETL pipelines, ingesting data from a diverse set of data sources (including event streams, various forms of batch processing) 
• Excellent SQL and python skills. 
• Extensive use of AWS  
• Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). 
• Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow.  
• Demonstrable experience of working alongside cross-functional teams interacting with Product Managers, Infrastructure Engineers, Data Scientists, and Data Analysts. 

N.B.! The position is remote, but the candidate should be located in Latvia or Lithuania. 

In partnership with one of the global consulting enterprises, on a large-scale digital program for a UK Telecommunication industry client, we are seeking a Middle/Senior Software Engineer to join our Software Engineering team. 
You will contribute to developing innovative technology solutions for emerging products and industries, working closely with your team and cross-functional stakeholders.

Responsibilities:

• Lead development of applications using Node.js, TypeScript, React.js, and AWS Lambda.
• Design and implement infrastructure using AWS CDK.
• Translate system requirements into architecture and design specifications.
• Serve as a subject matter expert and mentor junior team members.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Lead code reviews, troubleshoot critical issues, and ensure code quality and maintainability.
• Continuously research and implement new technologies to optimize development efficiency.

Must-Have Skills:

• Advanced proficiency in TypeScript, Node.js, AWS Lambda, AWS CDK
• Strong problem-solving, critical thinking, and decision-making skills
• Excellent communication, presentation, and team collaboration skills
• Ability to guide teams, make strategic technical decisions, and handle cross-team dependencies

Good-to-Have Skills:

• Python, Java
• CI/CD setup, Performance testing, CloudWatch experience

N.B! -  Locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary 

Overview

In a partnership with a global consulting company, we are seeking a Senior Software Engineer with expertise in Node.js and AWS to join our Information Syndication engineering team. In this role, you will be responsible for building scalable and performant backend services, contributing to architectural decisions, and deploying cloud-native solutions on AWS. You will collaborate closely with front-end developers, DevOps engineers, and product teams to deliver impactful features, while upholding modern engineering practices such as TDD and pair programming. The client is a UK-based telecommunication company.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Node.js and TypeScript.

• Build secure and performant RESTful APIs and microservices architecture.

• Deploy and manage applications using AWS services such as Lambda, API Gateway, DynamoDB, S3, and ECS.

• Implement CI/CD pipelines using AWS Code Pipeline, Code Build, or similar tools.

• Apply Test-Driven Development (TDD) and maintain high test coverage across all deliverables.

• Participate in pair programming sessions to improve collaboration, code quality, and knowledge sharing.

• Write unit, integration, and end-to-end tests using frameworks such as Jest, Mocha.

• Collaborate with cross-functional teams to define, design, and deliver new features.

• Contribute to system architecture discussions and advocate for engineering best practices.

• Troubleshoot and resolve issues in development, testing, and production environments.

Must Have

• 5+ years of experience in backend development with Node.js and JavaScript/TypeScript.

• Strong experience designing and consuming RESTful APIs.

• Hands-on experience with AWS cloud services such as Lambda, API Gateway, DynamoDB, and S3.

• Familiarity with serverless frameworks and infrastructure as code (IaC) tools.

• Proficiency with CI/CD pipelines and DevOps practices.

• Test-Driven Development (TDD) mindset and proven experience applying it in projects.

• Experience with pair programming in Agile delivery teams.

• Experience with unit and integration testing using Jest, Mocha, or similar tools.

• Strong understanding of security, scalability, and performance in backend systems.

• Excellent problem-solving skills and attention to detail.

Nice to Have

• Knowledge of GraphQL, WebSockets, or event-driven architecture.

• Experience with Docker and Kubernetes.

• Understanding of monitoring tools like CloudWatch, Prometheus, or Datadog.

• Exposure to front-end frameworks such as React for full-stack collaboration.

• Background in Agile methodologies and working in cross-functional teams.

In a partnership with a Berlin-based startup that has successfully established a leading digital trading platform for industrial metals across Europe, we are looking for a heavy-hitting Senior AI Engineer to join our team. You aren’t just someone who calls APIs; you are an architect of intelligent systems who understands the "why" behind the "how."

You will be responsible for building, fine-tuning, and deploying sophisticated AI agents and custom models within the GCP ecosystem. If you have a deep obsession with agentic workflows, the Model Context Protocol (MCP), and the nuances of model evaluation, we want to talk to you.

Key Responsibilities

• Architect Agentic Systems: Design and implement complex agentic layers and workflows using LangChain and LangGraph to solve multi-step reasoning problems.
• Model Engineering: Select, deploy, and fine-tune open-source models (Llama, Mistral, etc.) alongside proprietary LLMs (Gemini, OpenAI).
• R&D & MCP: Leverage the Model Context Protocol (MCP) to integrate local and remote resources into agentic environments.
• Production Excellence: Implement rigorous model evaluation frameworks, regression testing, and observability using LangSmith.
• System Design: Build scalable AI infrastructure on GCP, ensuring seamless integration between custom models and cloud-native services.

Technical Requirements

• Experience: 3–5+ years of high-level experience in AI/ML engineering (Very Senior level).
• GenAI Stack: Expert-level command of Gemini, OpenAI, and Llama.
• Orchestration: Deep expertise in LangChain and LangSmith for building and monitoring agentic tools.
• Cloud: Professional experience with GCP (Vertex AI, Cloud Run, GKE).
• Coding: Python mastery is a given.
• Fine-Tuning: Proven track record of leveraging and fine-tuning open-source models for specific domain tasks.
• Testing: Strong focus on model evaluation, bench-marking, and regression testing.
• Nice to Have: Deep learning frameworks like PyTorch or TensorFlow and a solid grasp of classic ML concepts.

Interview Process

1. Technical Deep-Dive: A 1-hour session with our Engineering Manager focusing on system design, agentic logic, and live problem-solving.
2. Culture & Vision: A conversation with our Founder or HR lead to discuss soft skills, values, and long-term fit.

As our Integration & Solution Specialist, you will bridge the gap between complex e-commerce platforms and CRM systems. You’ll design and implement bespoke end-to-end integration strategies that harmonize our customers' IT landscapes. Working at the intersection of engineering and product management, you will transform high-level business requirements into seamless technical realities.

Key Responsibilities

• Architect & Implement: Build scalable, high-performance integration use cases using the SAP CX & CRM stack (including CDC, CDP, Emarsys, and Integration Suite).
• Maintain Excellence: Oversee technical documentation and troubleshooting to ensure long-term system reliability.
• Collaborate: Partner with internal engineers and client-side stakeholders to align software design with business goals.
• Evolve: Stay ahead of the curve through continuous product training and official certifications.

Your Profile

• Experience: 3+ years in technical solution design and systems integration.
• Tech Stack: Proficient with APIs, Web Services, and messaging protocols; functional coding skills in Java, Python, or JavaScript.
• Communication: Fluent in English (B2+) with a natural ability to mentor peers and share knowledge.
• Bonus points for: SAP CX portfolio experience, cloud proficiency (GCP/Azure), or German language skills.

Responsibilities

• Custom Development: Design and develop custom SharePoint Framework (SPFx) solutions, including web parts, extensions, and field customizers.
• Front-End Engineering: Build responsive, accessible, and high-performance UI components using React and TypeScript.
• Low-Code Orchestration: Architect complex workflows in Power Automate and build robust, data-driven Power Apps (Canvas and Model-driven).
• Solution Architecture: Lead the migration of legacy sites/tools into the modern SharePoint ecosystem and integrate third-party APIs via custom connectors.

• Technical Governance: Ensure code quality through rigorous testing, documentation, and adherence to Microsoft best practices for security and ALM (Application Lifecycle Management).

   

  Qualifications:

• Experience: 5+ years of professional experience in the Microsoft 365 ecosystem.
• Logic-First Mindset: Deep understanding of asynchronous programming and state management in React.
• Problem Solver: Proven ability to translate vague business requirements into concrete technical architectures.
• Communication: Ability to explain technical constraints to non-technical stakeholders with clarity and wit.
  
  Required Technical Skill Set
• Expert SharePoint Development: Extensive experience with Modern SharePoint Online, including SPFx (SharePoint Framework) development for web parts, extensions, and library components.
• Modern Web Stack: Proficiency in TypeScript and React.js for building high-scale, responsive user interfaces.
• Power Platform Mastery: Expert-level capability in Power Apps (Canvas and Model-driven) and Power Automate for complex process automation and data integration.
• Core Languages & Standards: Strong command of JavaScript (ES6+), HTML5, and CSS/SASS, with a focus on writing clean, maintainable code.

NetSuite Field Service Management (FSM) Consultant

We are looking for an experienced NetSuite Field Service Management (FSM / NextService) Consultant to join an international consulting team delivering ERP and field service solutions for global clients.

About the Role

In this position, you will design, implement, and optimize NetSuite FSM solutions that support end-to-end field service operations. You will work directly with customers, project managers, and technical teams to deliver scalable and efficient implementations.

Responsibilities

• Analyze client business processes and translate requirements into NetSuite FSM solutions
• Participate in full-cycle implementations (discovery → configuration → go-live → support)
• Configure NetSuite FSM / NextService:
  • work orders
  • scheduling & dispatch
  • routing
  • technicians & mobile workforce
  • service contracts, assets, inventory, SLAs
• Configure workflows, automation, and reporting
• Support integrations between FSM and other NetSuite modules
• Conduct user training and prepare functional documentation
• Provide post-go-live support and optimization recommendations

Requirements

• 3+ years of hands-on NetSuite experience
• Proven experience with NetSuite Field Service Management (FSM / NextService)
• Understanding of field service operations (technicians, dispatching, service lifecycle)
• Experience working with customers and translating business needs into system configuration
• Experience with NetSuite implementation and support
• English – Upper-Intermediate or higher

Nice to Have

• NetSuite certifications (SuiteFoundation / Administrator / Consultant)
• Experience with SuiteFlow and/or SuiteScript
• Experience integrating FSM with external systems or mobile applications
• Background in service-based industries (manufacturing, utilities, logistics, professional services)

What We Offer

• International NetSuite projects
• Fully remote work format
• Flexible working schedule (part-time)
• Professional growth and certification support
• Collaborative and professional environment

Product Analytics are at the forefront of understanding how our audiences interact with their brand, working to create richer, more personalised experiences that the audiences love.  

As a Lead Product Analyst you will lead a diverse team of product analysts to produce insights that will drive digital product strategy, working closely with colleagues and stakeholders across Product, Engineering, Data Science and more. 

Main responsibilities 

Reporting to the Head of Product Analytics, you will: 

• Partner closely with Product Managers, Product Analytics and Product Teams to understand metrics requirements, translate them into actionable analytics needs, and develop dashboards and self-serve tools that empower teams to make data-informed decisions.
• Grow and lead a diverse team of analysts to deliver high-quality, actionable insights, fostering an inclusive and collaborative culture where all individuals can contribute fully.
• Champion data-driven decision making across the Product Group, advocating for experimentation, measurement, and insight-led product development.
• Lead deep-dive analyses that inform product strategy and roadmap decisions, identifying opportunities to optimise audience experience, engagement, and impact.
• Drive cross-functional collaboration and evangelise the value of data across teams, shaping and improving data analysis capabilities and self-service functionality across the organisation.
• Ensure data quality, consistency, and governance by aligning metric definitions, maintaining KPI glossaries, and validating tracking accuracy across tools such as Piano and browser network analyses.
• Communicate complex analytical findings through clear, visual storytelling, translating technical insights into narratives that inform and influence non-technical stakeholders.
• Maintain strong documentation practices to support continuity, transparency, and the future development of front-end (FE) analytics capabilities.
• Operate within agile delivery frameworks e.g. 2 week delivery with continuous refinement, and iterative development of analytics solutions.
  
  Essential

• Experience leading and managing a team of data analysts, developing individuals and teams to achieve their full potential and driving value through data and insight (2+ years)
• 4 years of experience in an analytical role, preferably in digital products
• Experience working in a fast-paced environment in order to deliver insights that can influence the direction of the business
• Great communication skills and the ability to translate technical information for non-technical audiences at all levels of the organisation 
• Ability to think strategically and a passion for producing high-quality, accurate analytics deliverables 
• Ability to build and maintain strong working relationships with colleagues and stakeholders across multiple disciplines, managing expectations of senior colleagues and navigating conflicting priorities and pressures
• High levels of logical thinking and problem solving skills
• A keen advocate for the role of data in driving business performance
  
  Will be a plus:
   
• Familiarity with agile or other rapid application development methods
• Understanding of data pipelines and/or data modelling
• Experience with Data Science & Machine learning
• Knowledge of R or Python
• Experience working in a digital product focused analytical role in a customer-centric organisation