data analyst (statistics/python/bi) (bangkok-based, relocation provided)

senior bi reporting analyst

ai engineer

ai engineer (hybrid)

ai solutions engineer

data analyst (statistics/python/bi) (bangkok-based, relocation provided) Jobs in Giza

data engineer

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical skills and attention to detail. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
 </li>
 <li>
 Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
 </li>
 <li>
 Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
 </li>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
 </li>
 <li>
 Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
 </li>
 <li>
 Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
 </li>
 </ul>
</div>

Data Engineer Data Platforms Databricks

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical expertise and collaboration. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
 </li>
 <li>
 Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
 </li>
 <li>
 Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
 </li>
 <li>
 Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 </ul>
</div>

Senior Data Engineer-Data Platforms-Databricks

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
 </li>
 <li>
 Implement Data Integration Tools: Utilize IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 <li>
 Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Data Integration Solution Design: Experience with designing and building solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 ETL Process Development: Experience in creating and implementing Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, adhering to best practices and industry standards.
 </li>
 <li>
 Data Integration Tool Implementation: Experience with utilizing IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 Data Flow Optimization: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 <li>
 Data Integration Solution Evaluation: Experience in continuously evaluating and improving data integration solutions, identifying opportunities for process improvements and efficiency gains.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Data Integration Tool Expertise: Experience with utilizing IBM's WebSphere Data Integration Suite, Informatica, Ab Initio software, and DataStage to integrate data from various sources, ensuring data consistency and integrity.
 </li>
 <li>
 ETL Process Optimization: Experience in optimizing ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
 </li>
 <li>
 Data Flow Troubleshooting: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
 </li>
 </ul>
</div>

Senior Data Engineer - Data Integration

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 We are seeking a Data Catalogue Specialist to enable trusted, discoverable, and reusable network data products by owning and evolving metadata, cataloguing, and governance processes within Vodafone&rsquo;s Next Generation Data Infrastructure (NGDI). This role plays a key part in ensuring end‑to‑end data journeys are visible, compliant, and usable through the enterprise data catalogue, Collibra, supporting data‑driven decision‑making across network and digital teams.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own and continuously evolve the NGDI data catalogue metamodel, covering data assets, data products, data contracts, domains, markets, critical data elements, lineage, and ownership
 </li>
 <li>
 Enable end‑to‑end discovery of network data products by ensuring consistent and complete metadata across the data lifecycle
 </li>
 <li>
 Design and support automated metadata ingestion and lifecycle workflows, including onboarding, certification, change management, and decommissioning
 </li>
 <li>
 Embed governance, privacy, security, and artificial intelligence compliance by design through metadata controls, classifications, and approval workflows
 </li>
 <li>
 Act as an operational interface between data governance, data quality, and data engineering teams to embed governance best practices into daily delivery
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Experienced in working with enterprise data catalogues, ideally Collibra, including metamodel configuration and workflow design
 </li>
 <li>
 Knowledgeable in metadata management, data lineage, and data product concepts within cloud‑based environments
 </li>
 <li>
 Familiar with data governance operating models, including stewardship, domain ownership, and federated delivery
 </li>
 <li>
 Comfortable working with data quality concepts such as profiling, certification, critical data elements, and quality rules
 </li>
 <li>
 A collaborative professional who can work effectively across engineering, governance, and business stakeholders
 </li>
 <li>
 Hold a degree in Engineering, Computer Science, or equivalent practical experience in data management, with 3&ndash;5 years of relevant professional experience
 </li>
 <li>
 Additional certifications such as DAMA‑CDMP or Google Cloud Platform are beneficial but not essential
 
 
 
 </li>
 </ul>
 
 Not a perfect fit?
 
 
 
 Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
 
 
 
 What's In It For You
 
 
 
 <ul>
 <li>
 Exposure to large‑scale, enterprise data and AI transformation programmes within a global organisation
 </li>
 <li>
 The opportunity to shape and mature a critical data capability that underpins network performance and customer experience
 </li>
 <li>
 Collaboration with diverse, international teams across data engineering, governance, and digital functions
 </li>
 <li>
 A role that combines strategic thinking with hands‑on delivery in a fast‑evolving data environment
 
 
 
 </li>
 </ul>
 
 What Skills You Will Learn
 
 
 
 <ul>
 <li>
 Advanced enterprise metadata management and data catalogue design at scale
 </li>
 <li>
 Practical application of data governance, privacy, and AI compliance through tooling and workflows
 </li>
 <li>
 Designing automated metadata and data lifecycle processes in cloud‑based data platforms
 </li>
 <li>
 Influencing and embedding data management best practices across federated teams and markets
 
 
 
 </li>
 </ul>
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/vois/
 </li>
 <li>
 Facebook: https://www.facebook.com/voisglobal
 </li>
 <li>
 Instagram: https://www.instagram.com/voisglobal/
 </li>
 <li>
 You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2
 </li>
 </ul>
</div>

Data Governance Engineer - Data Catalog (VOIS)

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 This role is based in Gurgaon, India.
 
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
 </li>
 <li>
 Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field
 </li>
 <li>
 8+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Good experience in Pyspark
 </li>
 <li>
 Expert level understanding of Python with design patterns and object-oriented programming.
 </li>
 <li>
 Experience debugging and reasoning about production issues is desirable.
 </li>
 <li>
 A good understanding of data architecture principles preferred.
 </li>
 <li>
 Any other experience with Big Data technologies / tools
 </li>
 <li>
 SQL experience
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience.
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 <li>
 A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Staff Machine Learning Engineer (India based, relocation provided)

Advansys ME

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.
 
Job
 Manage the projects internally within Business Intelligence team to achieve the business requirements within the agreed timelines with high quality.
 Responsible for the design, development and on-going support of reporting & analytical solutions and descriptive models for the business community within the reporting environment.
 Use range of technologies to make data easily accessible to business users through building Self-BI environment and Dashboards.
 Perform the business analysis and document the specification of business information requests.
 Work closely with modelling and Data Management team members for building the new models that serves the business requests.
 Participate effectively in setting the data governance and reporting strategies that reduce data redundancy wherever possible.
 Work with a team of developers through architecture, design, build, test, and enhancement of corporate business intelligence solutions.
 Design, code, test and document appropriate data processes, stored procedures or reporting & analytic applications using industry proven ‘best-practices’.
 Develop outline design and reports; Create necessary objects to meet report requirements.
 Develop and execute unit, system integration, and user acceptance test plans and plays an active role in project rollouts.
 Investigate and assist in the resolution of any day-to-day application issues.
 Comply with new company Governance, Business Intelligence Standards, Data Standards and Data Warehouse Methods and Procedures in the delivery.
 Identify opportunities for sharing and re-using information through the team knowledge base.
 Act promptly on the reporting issues that is assigned to the second level of support team.
 Recommend approaches, lead design and create solid technical solutions for complex business scenarios.
 Requirements
 Bachelor’s degree in computer science and/or computer engineering.
 2+ Years of experience in BI field related.
 Excellent oral and written communication skills.
 Having strong data-driven analytical skills.
 Having problem solving and decision-making skills.
 Knowledge of telecom industry standards and technologies.
 Benefits
 
<ul>
<li>Hybrid Working Model</li>
<li>Social and Medical Insurance</li>
<li>Flexible and friendly working Environment</li>
</ul>

Senior BI Reporting Analyst

NCR Atleos

<div>
 
 About NCR Atleos
 
 
 
 NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.
 
 
 
 Position Summary &amp; Key Areas Of Responsibility
 
 
 
 <ul>
 <li>
 Client Governance - Top priority is customer satisfaction. Establish an aligned governance model with your client(s). Cadence drives service performance, engagement, and ongoing improvements. Daily interactions, delivering services contract terms during the lifecycle of the agreement.
 </li>
 <ul>
 <li>
 Governance Model
 </li>
 <li>
 Frequency: Daily/Wkly/Mthly/Qtrly
 </li>
 <li>
 Content:
 </li>
 <ul>
 <li>
 HDW/SW/MS/Projects
 </li>
 <li>
 Performance Metrics
 </li>
 <li>
 Bad Actors/Outliers
 </li>
 <li>
 Market Performance
 </li>
 <li>
 Entitlement/Billing
 </li>
 <li>
 Change Mgmt
 </li>
 </ul>
 </ul>
 <li>
 Service Performance Delivery of KPIs - Ensure data integrity within the NCR ATLEOSsystems. Performs reporting and prioritizes, maintains working relationships with client and internal organizations.
 </li>
 <ul>
 <li>
 SLA performance results
 </li>
 <li>
 Outlier Mgmt &ndash; aged Workorder
 </li>
 <li>
 Client KPIs
 </li>
 <li>
 Field Retrofit Order (FRO)
 </li>
 </ul>
 <li>
 Entitlement &ndash; Entitlement is what a customer is entitled to under their service contract. Accurate and timely asset entitlement is paramount.
 </li>
 <ul>
 <li>
 Endpoints registration
 </li>
 <li>
 Proper coverage in delivery system
 </li>
 <li>
 Time &amp; Material billing/disputes
 </li>
 </ul>
 <li>
 Bad Actor &amp; Chronic Units - Hardware that repeatedly fails to meet standards of quality and performance.
 </li>
 <ul>
 <li>
 Revisit identification/improvements
 </li>
 <li>
 Retrips isolation working with Field
 </li>
 <li>
 Excessive failure rates of units
 </li>
 </ul>
 <li>
 Dispatch Avoidance - Eliminate dispatches through remote resolve, CIT, First Time Fix dispatch business rule tuning improvements.
 </li>
 <ul>
 <li>
 Actions to eliminate workorders
 </li>
 <li>
 Dispatch rule changes
 </li>
 <li>
 CIT avoidance workorders
 </li>
 </ul>
 <li>
 Customer Engineer Support - Provide general and or account specific support to the customer engineer.
 </li>
 <ul>
 <li>
 Environmental (electrical, CIT)
 </li>
 <li>
 HDW/SW
 </li>
 <li>
 Site prep/clearance
 </li>
 <li>
 Site access, safety issue
 </li>
 <li>
 Account procedures
 </li>
 </ul>
 <li>
 AR Invoices - Accounts receivable are legal claims for payment collected within contract terms.
 </li>
 <ul>
 <li>
 Billing disputes
 </li>
 <li>
 Concession approvals
 </li>
 </ul>
 <li>
 SLA Penalties - Penalties assessed if SLA is breached.
 </li>
 <ul>
 <li>
 Penalty reconciliation
 </li>
 <li>
 Penalty avoidance
 </li>
 </ul>
 <li>
 Call Pack - Prepaid purchase of qty. of FLM calls per month, defined as service actions necessary to clear jams without the use of a tool and in 30 minutes or less.
 </li>
 <ul>
 <li>
 Monthly workorder mitigation
 </li>
 <li>
 Over/under reporting
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 Right size call pack (WO usage)
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 </ul>
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 Parts &amp; Logistics - Spare Parts Logistics consists of national, local or customer engineer trunk stock required to support the field. Understand the process and be proactive in ensuring parts are in the right place, right time working with Logistics.
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 <ul>
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 Parts Availability
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 Parts Quality
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 Assumption of Service
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 <li>
 QUALIFICATIONS AND EDUCATION REQUIREMENTS
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 Technical/Vocational certification or High School diploma or, 0-1 years of related experience
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 Detailed oriented, analytical, and/or technical experience, preferably within NCR ATLEOSServices
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 <li>
 Demonstrated proficiencies with Microsoft Office Suite software, excellent in Microsoft Excel
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 Excellent written and verbal communications skills
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 Ability to work in a fast-paced environment. multi-task, time management and organizational skills
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 Ability to identify and resolve issues with a sense of urgency
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 Ability to work as part of a team or independently
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 Willing to work non-standard business hours as required by customers
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 <li>
 PREFERRED SKILLS
 
 
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 </ul>
 </ul>
 <ul>
 <li>
 Experience in the various NCR ATLEOSLines of Businesses
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 <li>
 Experience of working in a managed services or outsourcing environment
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 <ul>
 <li>
 IM
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 <li>
 Cash Management
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 <li>
 CIT Management
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 <li>
 Availability Analytics
 
 </li>
 </ul>
 </ul>
 Offers of employment are conditional upon passage of screening criteria applicable to the job.
 
 
 
 EEO Statement
 
 
 
 NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.
 
 
 
 Statement to Third Party Agencies
 
 
 
 To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.
 
 
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Customer Management Specialist

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