Data Modeler

AI Lead

Product Specialist

Field Sales Executive

Decoupling Architect

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Regional Sales Manager

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>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Due to rapid growth, they are expanding its account management team with a new position focused on the pharmaceutical industry. This role involves selling our industry-leading Environmental, Health &amp; Safety, and operational excellence software platform to both new and existing clients in the European pharma sector. The primary focus will be on the top 100 pharmaceutical companies, engaging with C-level executives in finance and operations, as well as specialists in health &amp; safety, environmental sustainability, and IT.Given the industry-specific focus, a strong affinity for the pharmaceutical sector and expertise in software platform sales are crucial for this role. To succeed, you must have a proven sales track record, coupled with a high-energy, self-starting approach, and the ability to coordinate teams and manage complex sales processes effectively.Key Responsibilities•Generate new sales prospects•Maintain post-sales contact with large or strategic clients to facilitate a positive and productive long-term relationship•Communicate with customers with regards to any account problems and discusses customer concerns and suggestions•Focus efforts on product feedback, enhancement, upgrades, and development•Report suggestions to and develop solutions with sales, order processing, and customer success and support team•Compile data on marketing trends, competitive products and pricing and reports to management•Travel to and attend conferences, events and customer meetings as required Key Requirements•Bachelor’s Degree or equivalent relevant experience•5+ years’ experience in Field Sale or Account Management or other equivalent experience•Solid understanding of business, financials, products/services and the market, preferably with a reputation for providing a level of expert knowledge within your industry•Excellent communication (both written &amp; oral) and presentation skills•Ability to plan own territory/account approach and manage own resources; train and mentor junior staff•The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications as these may vary depending on location and line of business. The specific requirements may differ due to local or regional differences.

Responsibilities: <ul><li>Experience &amp; knowledge with Digital commerce, Hyper personalization, connected experience and able to articulate new systems around the theme.</li><li>Able to understand the downstream business process which stitches the technology and platforms for a new age Airline solution</li><li>Completely understands concept of Cloud Native, on ground journey to cloud success deliveries carried out, Scaled Enterprise Integrations done for larger transformation and consolidation systems for multiple organizations</li><li>Experience in orchestrating the solution shape up of large-scale processing and business services projects</li><li>Create business arch models that reflect client strategies and goals to cover the entire digital transformation journeys in IT landscape</li><li>Find ways in which to improve client IT departments functions to support client future goals mainly for all the digital platform landscape covering, Interactive, Mobility, Integrations Cloud systems</li><li>Deliver Technical Specifications end to end.</li><li>Design custom development solution that meet customer requirements</li><li>Progress through full development lifecycle for custom solution</li><li>Strong collaboration with team software engineer consultants onshore &amp; offshore</li><li>Deploy new solutions to production environments</li><li>Innovate on new ideas to solve customer needs &amp; assist to market internally new solutions</li><li>Provide project estimates and timelines to drive new business</li></ul> Requirements: <ul><li>Experience &amp; knowledge with Azure Cloud platforms. Strong Cloud Native knowledge</li><li>Good understanding of Amadeus reservation, ticketing, payment and loyalty solutions</li><li>Able to explore Amadeus core capabilities and enhance via orchestration with 3rd party partner services</li><li>Good experience in working with Payment aggregators</li><li>Experience &amp; knowledge with Web Analytics or Digital Marketing, Deep Understanding is must</li><li>Experience &amp; knowledge with FED frameworks like Angular, Native mobile mainly from Design aspects</li><li>Experience &amp; knowledge with Digital Integration / API Middleware platforms. Strong in Integration Architecture concepts</li><li>Experience &amp; knowledge with GenAI, ML/AI. Good to have knowledge</li><li>Experience &amp; knowledge with Customer Data Platform (CDP). Any tool knowledge</li><li>Experience as an enterprise technical or engineer consultant</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:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Job Description:Lead regional sales team to achieve sales target for assigned geography based on Regional sales director’s assigned plan.Responsibilities:Direct and monitor the activities of a sales team within a specified geography, product line or market segment to achieve established sales targets based on Sales Director’ plan.Execute sales plans, activities and campaigns and manage the day-to-day activities of a regional sales team in order to achieve sales strategy for an assigned geography or list of customer accounts. Monitor sales volume, revenues and costs against forecasts to identify problem areas; and adapt procedures or re-allocate resources to improve the overall performance of the sales team. Establish and keep good relationship with area customers for win-win solution.Contribute to the development of sales, marketing, and customer retention, advertising, pricing and distribution strategies for area of responsibility. Coach sales executives on products and services; on marketing campaigns and sales promotions; and on sales techniques, procedures and standards that will help them achieve their sales targets.Monthly check inventory, AR status in order to keep through in good delivery, inventory management, AR management, pricing etc.Requirements:Bachelor degree or above. More than 6 years business experience of which 4 years in consumer product management in similar industry, project sales experience are both needed Good at Mandarin and PC skills.Good planning, analysis and problem solving skills.Good negotiation and communication skills with both internal and external groups. Business driven/result driven.Systematic and data orientated.Independent, Integrity, trust.Self-motivated and motivating team.Working in Assigned sales areaRequired languages:Fluent in English and mandarin- written and spoken

Skills

Industry

Location

Jobtitle

92 pricing models Jobs found

Data Modeler

AI Lead

Product Specialist

Field Sales Executive

Decoupling Architect

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Regional Sales Manager

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

92 pricing models Jobs found

Data Modeler

AI Lead

Product Specialist

Field Sales Executive

Decoupling Architect

Tech Lead Power BI

Tech Lead Power BI

Financial Analyst ASC

Data Engineer Lead - Python and PySpark

Regional Sales Manager

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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