Data Modeler

AI Lead

Production / Sales Project Coordinator

Senior L&D Manager, Frontline (KSEA)

Operations Support

Tech Lead Power BI

Financial Analyst ASC

Vice President – Cloud SaaS Success

Data Engineer / Senior / Supervisor

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Develop and maintain detailed production schedules to ensure timely completion of assembly projects.</li><li>Coordinate with the production team to allocate resources and manage workflow efficiently.</li><li>Serve as the primary point of contact for project-related communication between departments, suppliers, and customers.</li><li>Facilitate regular meetings to discuss project status, address challenges, and ensure alignment with project goals by tracking project milestones and deliverables, ensuring all stakeholders are informed of progress and any changes.</li><li>Create and maintain comprehensive documentation for all production activities, including work orders, assembly instructions, quality control reports, production outputs, material usage, and inventory levels.</li><li>Ensure all documentation is accurate, up-to-date, and compliant with industry standards and regulations.</li><li>Support the implementation of quality control processes to maintain high standards in the assembly of Bredel pumps.</li><li>Assist in conducting inspections and audits to identify and resolve quality issues promptly.</li><li>Collaborate with the supply chain team to ensure the timely procurement and availability of materials and components required for assembly.</li><li>Monitor inventory levels and coordinate reordering to prevent production delays.</li><li>Address and resolve any material-related issues in coordination with suppliers and vendors.</li><li>Generate regular reports on production performance, including key metrics such as output, efficiency, and quality.</li><li>Provide recommendations for process enhancements and operational improvements based on data analysis.</li><li>Foster a collaborative and positive work environment, encouraging teamwork and effective communication.</li><li>Identify opportunities for process improvements and implement initiatives to enhance productivity and efficiency.</li><li>Liaise with customers to provide updates on project status, address concerns, and ensure satisfaction with the final product.</li><li>Coordinate customer visits and inspections as needed, ensuring a positive and professional experience.</li><li>Gather customer feedback to inform future improvements in production and project management.</li></ul> Requirements: <ul><li>Formal relevant qualifications.</li><li>Electrical/mechanical background.</li><li>Exposure to Project coordination, communications, or a related field.</li><li>Advanced English writing/reading competencies. Fluent.</li><li>Strong writing skills.</li><li>Data analysis skills.</li></ul>

Responsibilities: Ownership:&nbsp; <ul><li>Collaborate with business and P&amp;C leaders to set up and execute global learning and development processes (assess competence development needs, create learning methods and solutions, develop training centre and trainers, deliver, and manage training) to meet company’s short- and long-term competence goals for the business&nbsp;</li><li>Help to set global/local priorities and budget for competence development based on the company strategy and business goals, work with P&amp;C, business, and L&amp;D network to make global/local plans for competence development. Help business to define business impact and learning outcomes for competence development programs.&nbsp;</li><li>Provides consultation for P&amp;C, managers, and employees with questions about learning and development, and advise on the different learning and development approaches for business outcome and support.&nbsp;</li><li>Owns the annual Frontline Training Plans and contributes to One P&amp;C team, executes L&amp;D plans with impact together with P&amp;C community.&nbsp;</li><li>Drives local business agenda with L&amp;D expertise, challenges and concludes L&amp;D deliveries that improve business results.&nbsp;</li><li>Works closely with Cluster/FL business leaders and P&amp;C colleagues to drive L&amp;D agenda as well as consult on development. Provides L&amp;D services and delivers selected trainings for the cluster/FL.&nbsp;</li><li>Governs and consults on learning needs by broadening stakeholders’ views on what gets solved with training and what is something else.&nbsp;</li><li>Leads P&amp;C Services training coordinators for the cluster/FL to optimal efficiency and value.&nbsp;</li><li>Focuses on field training discipline, data accuracy and KPIs transparency including improvement suggestions.&nbsp;</li><li>Develops learning assets e.g., Training Centres towards full utilization &amp; impact&nbsp;</li><li>Ensures relevant learning offering and L&amp;D operational excellence across cluster/FL in sync with Area and Global L&amp;D direction.&nbsp;</li><li>Responsible for development and performance management of the L&amp;D team in the Front line.&nbsp;</li></ul> Contribute:&nbsp; <ul><li>Communicates continuously L&amp;D value, services, and operating model to all relevant cluster/FL stakeholders&nbsp;</li><li>Facilitates and promotes learner centric learning culture. Acts as a project manager for certain learning projects such as induction renewal.&nbsp;</li><li>Impacts Area and global L&amp;D by explicitly articulating cluster/FL learning needs and offering feedback.</li></ul> People leader, network management: <ul><li>Lead cluster/FL L&amp;D teams’ engagement and recognition for business relevance and learning impact with transparency and data.&nbsp;</li><li>Leads and manages internal trainer networks across the cluster/FL.&nbsp;</li></ul> Level of decision making:&nbsp; <ul><li>Responsible for L&amp;D KPIs and business metrics for cluster/FL level for non-technical and technical competence development&nbsp;</li><li>Contribute to big picture as member of Area L&amp;D Leadership Team&nbsp;</li><li>CoE Budgeting for cluster/FL (OPEX and Capex)&nbsp;</li></ul> Performance metrics:&nbsp; <ul><li>Priority learning solutions management/adoption % for cluster/FL&nbsp;</li><li>Mandatory field certifications for safety and methods in place &amp; valid for all field operatives in cluster/FL&nbsp;</li><li>External spend on training vendors &amp; venues in cluster/FL&nbsp;</li><li>Field Trainer utilization, TC utilization, learning solution reach, and NPS in cluster/FL&nbsp;</li><li>Workday Learning data quality (Learning management system) LMS&nbsp;</li><li>Global learning offering utilization vs. local offering quantity in cluster/FL&nbsp;</li><li>Internal trainer pools strength and retention in cluster/FL&nbsp;</li><li>P&amp;C Services / training coordination satisfaction for cluster/FL</li></ul> Requirements: <ul><li>Master’s degree in human resources, education, or related field&nbsp;</li><li>10+ years of experience in learning and development, including designing, implementing, and evaluating training programs, preferably in multinational company.&nbsp;</li><li>Experienced in managing learning needs and priorities through business partnering and data analysis.&nbsp;</li><li>Good leadership and influencing skills.&nbsp;</li><li>Proven experience in managing and leading a team of learning professionals.&nbsp;</li><li>Proven facilitation and team coaching skills&nbsp;</li><li>Excellent business communication and interpersonal skills with the ability to interact effectively with stakeholders &amp; employees at all levels of the organization.&nbsp;</li><li>Ability to identify competence development needs and translate the needs into competence development plans for various functions and units.&nbsp;</li><li>Experience and ability to facilitate workshops / planning meetings with various stakeholders.&nbsp;</li><li>Ability to plan and manage initiatives effectively&nbsp;</li></ul>

Responsibilities: <ul><li>They will be responsible for measuring the performance and satisfaction of our customers and users, using various tools and methods such as surveys, feedback, analytics, and social media and configure the experience tracking toolset.</li><li>Identify and resolve any key issues or complaints that may arise.</li><li>Addressing and resolving operational issues or disruptions promptly to minimize impact on the business</li><li>Ensuring that operational systems and tools are functioning properly, including performing routine maintenance and updates.</li><li>Maintaining accurate records and documentation related to operations processes, procedures, and changes</li></ul> Requirements: <ul><li>The ideal candidate should have a degree in marketing, business, or a related field, and have experience in customer service, customer experience, and data analysis</li><li>Excellent interpersonal and communication skills and be able to use various tools and platforms such as Google Analytics, Hotjar, observability and campaign tracking tools.</li></ul>

Job Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Role Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Responsibilities:Provides expert and objective advice to executive management to support decision-making in respect of all aspects of transactions. Is a core member of multi-functional transaction execution teams, providing end-to-end finance support to transactions.Screens and evaluates commercial options and evaluates transaction counterparties and joint venture partners.Is responsible for the valuation aspects of transactions, ensuring that financial models and outputs are prepared according to standards, that risks are considered, and that input assumptions are robust and documented, and that deficiencies and risks are considered.Prepares bid price recommendations for senior management reflecting competitive landscape.Manages the financial due diligence process (coordinating the activities of advisors as required), ensuring that due diligence findings are communicated to executive management and factored into valuation and/or definitive agreements.Advises on the accounting aspects of transactions.Contributes to definitive transaction agreements and is responsible for purchase price adjustments and post-transaction purchase price allocation.Is a member of the integration planning team, advising on finance aspects of integration.Coordinates the inputs of other finance experts to transactions.Develops, coaches and mentors team members on transactions.Contributes to the continuous improvement of processes and methodologies to become a center of excellence of M&A execution for the Company.Provides ad hoc financial analysis activities including on transfer pricing, impairment reviews, government incentives, and group policy reviews.Manages external Financial Advisors and consultants on transactions. Develops relationships in banks to bring external perspectives on the M&A landscape to the Company.Requirements:10+ years relevant experience in conducting financial analysis in M&A transactions, likely gained in leading investment banks, accounting firms, or large international corporations.Significant experience in large and complex cross-border transactions with a strong preference for experience in energy, natural resources, or infrastructure sectors.Expert level knowledge and use of financial analysis tools and methodologies, understanding of financial statements, familiarity with International Financial Reporting Standards (IFRS) and international taxation.You will hold a Bachelor’s degree in Finance, Accounting, Business, Management, or Engineering.Possession of an advanced business degree (e.g. MBA) or Accounting qualification is preferred, but not required.

Responsibilities:Strategizing cloud product launches and all related aspects to that from Branding & sales perspectiveReporting on sales activity and forecast to company's leadership teamPartner/Customer Management as the case may be, towards enhancing trust and reputationMeet and exceed quarterly and annual sales targetsOngoing coaching and development of sales, marketing, and branding teamsMaking logical launch plans after thoughtful analysis of market gap and competition dynamicsTo be overall responsible for the sales efforts of all/select cloud products of the CompanyRequirements:Experience in launching new cloud enterprise products in developing and developed marketsMinimum 10 years of cloud product sales experience with a new business focusProven track record of success in similar enterprise software product companyExperience of strategizing digital marketing plans for enterprise software productsExperience in operating with small and expandable sales teamsSmart in judging customer experience and bringing out product/process improvements for ideation Must have qualities:The ideal candidate is dynamic, humble, and highly person-oriented.  A strategic thinker who can drive the team passionately with the highest motivationA person who can bestow the personal touch along with our inherent corporate cultureAn internationally exposed market thinker, doer, and accomplisherPassionate about building global markets for new entrant productsSincere, dedicated, energetic and creative in problem-solving

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

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196 variance analysis Jobs found

Data Modeler

AI Lead

Production / Sales Project Coordinator

Senior L&D Manager, Frontline (KSEA)

Operations Support

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Vice President – Cloud SaaS Success

Data Engineer / Senior / Supervisor

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.

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196 variance analysis Jobs found

Data Modeler

AI Lead

Production / Sales Project Coordinator

Senior L&D Manager, Frontline (KSEA)

Operations Support

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Vice President – Cloud SaaS Success

Data Engineer / Senior / Supervisor

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.