Senior Delivery Management Specialist / Data Analytics Job at Randstad (Tokyo)

Senior Data Analytics Specialist

We are seeking a highly experienced data analytics professional with deep expert...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

More than 10 years of data analytics experience
4+ years working with Google Cloud Platform and Looker
Skilled in DBT, Data Vault modelling, and workflow orchestration using Airflow
Proficient in Looker and Tableau for analytics visualisation and reporting
Highly capable in SQL and Python programming
Knowledgeable in telecom roaming processes and data flows
Experienced in version control and work tracking tools such as GitHub and Jira
Able to translate business requirements into meaningful, scalable analytics solutions
Skilled in developing and optimising multi‑source data models

Job Responsibility

Lead and guide a team of data analysts, enabling delivery of high‑impact analytics solutions
Design and implement scalable data models, including LookML models for Looker dashboards
Apply DBT and Data Vault modelling techniques to develop robust and modern data architectures
Build and maintain advanced data pipelines using Google Cloud Platform services such as BigQuery, Composer, Dataflow and Google Cloud Storage
Ensure data integrity through reliable backup and recovery processes
Modernise data lakes and data warehouses to meet evolving business needs
Automate repetitive data activities to improve operational efficiency
Collaborate with stakeholders to gather clear analytical requirements and translate them into technical solutions
Deliver strategic recommendations for effective data management and performance optimisation
Identify and address performance bottlenecks across data platforms

What we offer

Opportunity to work on next‑generation cloud analytics solutions across a global telecom environment
Exposure to modern data engineering frameworks, advanced analytics platforms, and fast‑evolving cloud technologies
Collaboration with diverse global teams across markets and functions
A role that enables both technical leadership and strategic influence
A workplace that values innovation, continuous learning, and inclusive growth

Fulltime

Senior Specialist Data Science and Predictive Care

The Senior Specialist Data Science & Predictive Care leads data-driven transform...

Location

Congo, the Democratic Republic of the , Kinshasa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Information Systems, or related field
4-6 years of experience in Data Analytics, Data Science, Predictive Analytics, Business Intelligence, or Customer Operations Analytics
Experience in telecom industry is highly desirable
Experience working with large datasets and operational analytics
Exposure to AI, Machine Learning, Predictive Care, or Generative AI initiatives is an advantage
Experience working with cross-functional business and technology teams essential

Job Responsibility

Create predictive models to forecast customer actions, churn, repeat calls, fraud, and service issues
Build machine learning frameworks for proactive customer care
Design segmentation models for personalized engagement
Develop anomaly detection for monitoring and fraud management
Use statistical and AI methods to pinpoint root causes of customer pain and inefficiency
Support Generative AI and LLM applications in customer operations
Develop scoring and recommendation engines to boost engagement and decisions
Drive proactive customer care initiatives through real-time analytics and predictive intelligence
Identify customer issues before escalation and recommend preventive actions
Enable intelligent customer treatment strategies based on behavioral and operational insights

Digital Delivery Senior Specialist

Location

Portugal , Lisboa

Salary:

Not provided

EDP

Expiration Date

Until further notice

Requirements

6 to 10 years of relevant professional experience
Proven experience as a Product Owner or in a similar role
Strong experience managing B2B digital platforms or products
Strong analytical and data-driven mindset, with experience in B2B metrics and conversion funnels
Experience with Agile methodologies (Scrum, Kanban)
Experience leading or managing Business Analysts or similar roles
Excellent communication and stakeholder management skills
Ability to manage complex programs and work across multiple teams and geographies
Strong leadership, organization, and problem-solving skills
Fluency in English (Portuguese is a plus)

Job Responsibility

Identify, prioritize, and drive high-impact strategic initiatives to improve B2B digital platforms and accelerate opportunity conversion
Partner with senior stakeholders to translate strategic priorities into clear and executable roadmaps tailored to B2B customer needs
Align and coordinate stakeholders across geographies and functions to ensure effective execution
Act as a connective leader across Product, Sales, Design, Marketing, and Customer Care teams
Lead and manage a team of Digital Business Analysts, ensuring high-quality delivery and performance
Lead end-to-end project management, ensuring accountability, speed, and quality of delivery
Manage complex, multi-workstream programs with strong governance and escalation frameworks
Define, implement, and monitor KPIs to track B2B digital performance and business impact
Prepare executive-level updates, business reviews, and performance reports
Leverage artificial intelligence tools to enhance delivery efficiency and productivity

Fulltime

Senior Specialist, Product Management

Mastercard powers economies and empowers people in 200+ countries and territorie...

Location

Türkiye , Istanbul

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Proven experience in product management, ideally launching and/or scaling product/s in multiple markets
Experience in Fraud and/or Disputes Management, is an advantage
Strong analytical and problem-solving skills with an ability to identify key issues, structure analysis and synthesize diverse data
Enjoy working and building relationships in multicultural matrix organization
Have strong written and verbal communication skills, able to clearly articulate and simplify complex topics
Fluent in English & Turkish

Job Responsibility

Product leadership: The jobholder will be the subject matter expert and champion for Ethoca Consumer Clarity for the region. With a deep understanding of the solutions vis a vis other Mastercard products, customer behavior, market nuances and industry trends, they will drive the long-term growth of the category
Product strategy & roadmap: Work closely with global product teams and EEMEA SSO division leads to develop and deploy end-to-end go-to-market plans across key solution sets. This includes development of business cases, financial models, internal and customer-facing presentations, etc
Cross-functional collaboration: Work effectively with functional support teams such as Operations & Technology, Franchise, Finance, Pricing, and Marketing to ensure full stakeholder alignment, process compliance and seamless & timely delivery of new products and enhancements in EEMEA markets
Sales enablement: Support market expansion and customer penetration activities by collaborating with the Ethoca Sales team, SSO Sales Business Leads, Account Managers and the broader Services community
Product optimization: Drive optimization of products through thought leadership, product enhancements, and working closely with the broader Sales and Services community to enhance product differentiation, increase customer value and deepen customer engagements
Performance management: Monitor performance of solutions and lead budgeting & forecasting exercises for the portfolio
Performance metrics: The jobholder is expected to achieve annual revenue targets according to the operating plan, and launch new products or enhancements for Ethoca Consumer Clarity as per agreed timelines. They will also provide product management support for Ethoca Alerts and Mastercom solutions, where required

Fulltime

Senior Specialist- Product Management

Mastercard Security Solutions Organisation (SSO) is responsible for safeguarding...

Location

Hungary , Budapest

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Experience as a Product Manager in consumer or business identity, cybersecurity, authentication, or regulatory technology
Experience in managing product roadmaps, from concept to launch
Ability to translate complex regulatory requirements into actionable product features
Strong analytical, problem-solving, and decision-making skills
Excellent communication and stakeholder management abilities
Experience working in an agile development environment
Bachelor’s or Master’s degree in a relevant field (e.g., ideally Computer Science, Business, Cybersecurity, Data Analytics)

Job Responsibility

Product Strategy & Vision: Support the development of building and executing the regional identity verification product strategy
Roadmap Development: Partners with market-facing teams to gather customer feedback in the region and support the development of product roadmap as well as delivery of product features
Cross-functional Collaboration: Be the intermediary between global product development and local teams in Europe in product to shape a global proposition to European needs
Go-to-Market Execution: Define and support a go-to-market plan for Identity verification products in alignment with regional stakeholders
Data Analytics: Adapt in analysing data to identify new product/ pricing/ GTM ideas
Performance Tracking: Establish reporting of identity verification product suit KPIs to regional and global teams and help in ensuring that established sales revenue targets are met
Identify and execute on new synergy and market growth opportunities within existing Mastercard products & services (e.g.: C2P, BNPL, Digital First…)

Fulltime

Practice Specialist – DAAI (Data, Analytics & AI)

My client is seeking a dynamic and results-driven Practice Specialist – DAAI to ...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

Bachelor's degree (MBA or equivalent preferred)
8+ years of experience in IT Services / Consulting with focus on Data, Analytics & AI
Proven track record in sales, deal closure, and revenue growth
Experience handling global, large-scale engagements

Job Responsibility

Drive end-to-end sales lifecycle including opportunity identification, qualification, solutioning, and deal closure
Manage large, complex, multi-million-dollar deals across global clients
Develop and execute account and client engagement strategies to expand business opportunities
Lead proposal development, RFP responses, and deal shaping activities
Apply design thinking methodologies to craft tailored Data, Analytics & AI solutions
Own pipeline management, forecasting, and revenue targets
Conduct competitive positioning and market analysis
Develop commercial models, pricing strategies, and contract negotiations
Collaborate with cross-functional teams including consulting, delivery, and engineering
Build strong relationships with senior stakeholders and decision-makers

Fulltime

Specialist Data Science & Analytics

At Vodafone, we’re not just shaping the future of connectivity for our customers...

Location

Spain , Madrid

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experience in agile way of working
Strong communication skills with ability to influence senior stakeholders
Storytelling with data
Hands‑on proficiency in Python for data analysis, automation, and AI/ML solution development, following software engineering best practices (version control, modular design, reusable components)
Practical experience with any Cloud (GCP, Azure, AWS)
Working knowledge of Machine Learning and GenAI solutions
Experience defining, building and supporting end‑to‑end analytics or AI products, from requirements gathering and design through to preproduction and production deployment
Proven experience collaborating across business, IT and delivery team

Job Responsibility

Identify opportunities to improve business outcomes using analytical techniques, working with Local Markets and Group to understand their requirements and find and/or develop appropriate analytical products
Build and deliver data science and GenAI models that drive value following best-practices and standards (revenue upturn, cost decrease and/or customer & employee engagement improvements)
Build and deliver automations which will help digital transformation of stakeholders
Partner with Product Manager & delivery teams within VOIS to deliver analytics solutions
Create, own and maintain reusable data science products and services that can be deployed across Vodafone
Drive innovation by employing new analytical techniques
Stakeholder management and engagement with new stakeholders from Group and OpCos to address their analytics needs and shape and define our Analytics Products/Projects Portfolio based on these requirements
Ensure best-practices and standards for software development in Data Science are followed across the wider team
Own specification and delivery of analytical products and services
Manage analytics portfolio and products by continuous improvement of existing products and developing new products based on stakeholder needs

What we offer

Hybrid work model
Bonus on top of the gross salary
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees and Family
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training

Fulltime

Enterprise Data Science Senior Specialist

Act as a senior individual contributor responsible for implementing enterprise c...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Excellent hands‑on experience with machine learning and deep learning algorithms
Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI)
Minimum 4–6 years of experience in data science, AI, and analytics roles
Proven experience in building and deploying AI/ML models in production environments
Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively
Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying
Experience with big data analytics frameworks, including PySpark and Spark clusters
Strong skills in data mining, feature engineering, and time‑series forecasting
Good working knowledge of Linux operating systems
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Job Responsibility

Translate customer and product requirements into clear data science and AI implementation tasks
Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer‑specific use cases
Ensure AI components are efficient, maintainable, and production‑ready, supporting smooth integration with enterprise systems and platforms
Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions
Act as a subject‑matter contributor in machine learning, AI and GenAI engineering within delivery teams
Apply best practices in feature engineering, model selection, evaluation, and optimization
Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking
Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality
Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes
Explain data science methods, assumptions, and results in a clear and structured way to technical and non‑technical stakeholders

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Senior Delivery Management Specialist / Data Analytics

Job Description

Job Responsibility

Requirements

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