Data Modeler

AI Lead

Data Engineer

Tech Lead Power BI

Data Engineer / Senior / Supervisor

Customer Marketing Manager

ASC - Project Finance - Sr Financial Analyst

Data Science Manager

ASC - Process Engineer

Techno-Economic Modeling Specialist

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>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</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 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.

Responsibilities:Leading cross-functional teams to execute revenue growth initiatives and projects.Coordinate with sales teams to ensure alignment of trade marketing strategies across different channels.The CM Manager works closely with the sales team to align sales strategies with overall revenue growth objectives. They may provide insights, analytics, and support to help optimize sales processes, set sales targets, and identify opportunities for revenue generation.Collaboration with the marketing team is essential for developing and executing marketing strategies that drive customer acquisition, retention, and brand awareness. The CM may provide input on campaign planning, messaging, targeting, and performance tracking to ensure alignment with revenue goals.The CM works closely with the finance team to analyze revenue data, forecast revenue projections, and track financial performance against targets. They may collaborate on budgeting, pricing decisions, and financial modeling to support revenue growth initiatives.Data Analysis : Analyzing sales data, market trends, customer behavior, and competitive landscape to identify opportunities for revenue growth.Strategy Development: Developing and implementing strategies to increase revenue across various channels, including sales, marketing, pricing, and product optimization.Cross-functional Collaboration: Working closely with sales, marketing, product development, finance, and other teams to align revenue growth strategies with overall business objectives.Pricing Strategy: Developing and implementing pricing strategies that optimize revenue and profitability while remaining competitive in the market.Customer & Revenue Growth Manager is responsible for developing and implementing strategies to increase a company's revenue. Primary objective is to drive revenue growth through various channels such as sales, marketing, partnerships, and product optimization.Plan and execute trade promotions, activity grid and distributor & customer specific JBPs.Analyzing sales and marketing data to identify trends, opportunities, and areas for improvement.Collaborating with sales, marketing, and product teams to optimize pricing strategies and product offerings.Design and execute promotional programs such as discounts, rebates, and in-store promotions.Track and analyze the effectiveness of trade promotions and campaigns.Manage relationships with key distributors, wholesalers, and retailers.Manage trade marketing budgets and ensure cost-effectiveness of promotional activities.Coordinate with sales teams to ensure alignment of trade marketing strategies across different channels Requirements:5-7 years relevant experienceLocation : Istanbul, TurkeyStrong analytical skillsStrong negotiation skills – to manage pricing discussions with distributor 

Responsibilities: You will be required to perform the following:Advise on bankability of project agreements and minimization of financing risk.Prepare business plans, financial forecasts, funding strategies and execution plans to support investment decisions and the optimal financing of projects.Coordinate the activities of investment banks, project advisors, project lenders and other project consultants in arranging the financing for projects.Provide professional and technical expertise for the analysis and solution of complex problems in any Treasury project finance area.Participate in and/or lead multi-disciplinary project evaluation and development teams assigned to grow and enhance current operations and profitability and to facilitate the successful implementation of the Company’s development strategies.Provide work direction and support to junior analysts. Mentor and develop talent within the organization.Keep abreast of and analyze international, regional and local economic and banking data; identify trends that may impact the Company; advise management on potential opportunities and alert management of potential risks.Requirements:As the successful candidate, you will hold a Bachelor’s degree in Finance, Economics, Accounting, Math, Information Systems, Engineering or Business. An MBA or other advanced business degree is preferred.Possess at least seven years of related project finance and corporate finance work experience, preferably in a banking environment or a major refining, petrochemical or energy industry corporation.Strong preference will be given to candidates with significant experience in Project & Structured Finance, Export Credit Agency Financing, Islamic Finance, the Debt Capital Markets, and the structuring of bankable commercial agreements.Significant exposure to joint venture development of mega-projects, EPC contracts, commercial & partnership Negotiations, financial modeling, economic evaluations, cash flow & variance analysis, project engineering and/or project management experience is highly desirable.Ability to quickly establish credibility in the position and to effectively interact with all levels of management, including senior leadership. Demonstrated ability to work within a matrix organization and with multi-disciplinary project teams and consultants to effectively and efficiently deliver results.Experience in leading and managing teams and/or organizations.Negotiation experience with and comprehension of complex legal agreements and banking documents.

Purpose of Job Role:work with a Analytics team (in the Front - business line) and will have the primary responsibility for generating data products (reports, applications) to meet business needscollaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering)support stakeholders in choosing the best approach to achieve business goals with data insights, reporting and data models; always having in mind how these teams will use, consume or interact with the data productspartner with IT to secure data models are built leveraging best practices and ensuring KPI automationlead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deploymentsThe successful candidate should be able to think/act strategically, develop structured and well designed data processes to fully connect the flow from back to front, being able to understand business needs and prioritize/align requirements to the business and Analytics strategy; he will also play a role model within Analytics team.Responsibilities:Develop strategical reports and dashboards with a Proof of Value and scalability approachDevelop and implement data products for main stakeholders (Commercial, Marketing, Finance departments)Work as a translator between business and IT departments for KPIs definition and automation. Coordinate user-focused documentation for the data solutionsCollaborate with architects from the IT department to support data governance and quality effortsSupport requests prioritization to align workload to business strategyCoordinate and develop teams of Data ScientistsCommunicate insights, data products and reports status and results clearly to the partnersNegotiate requests, workloads and team assignment with different partnersRequirements:Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer scienceMaster's degree in Data Science, Computer Science, Statistics or related area is a plus5+ years’ proven experience working on Data Visualization, Data Science, Machine LearningAdvanced experience with programming languages for data modeling (SQL, R, Python)Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI)Experience with Matillion is a plusProject Management & communication skillsProblem solving/critical thinking mindsetHighly organizedData storytelling and communication skillsProficiency in English

Role Description:Company is seeking a Senior Process Engineer to join the Transport Technologies Division of Company's Research & Development Center.The Transport Technologies Division conducts research and technology development in the area of transport fuels chemistry and advanced engine technologies.Our research focuses on the co-optimization of fuel and engine systems while we demonstrate the commercial viability of competitive internal combustion engine (ICE) platforms and low climate impact fuels, which will address the environmental and business sustainability of transport fuels for road, marine and aviation applications. The Process Engineer’s primary role is to provide engineering and process optimization support on developing sustainable synthetic fuels and chemicals production facilities including liaison with leading technology and engineering solution providers.Responsibilities:Participate in a unique, world-class project on innovative process design for transport fuels and petrochemicals production.Develop, configure and optimize industrial processes and participate in engineering and process design studies.Address technical challenges associated with adopting new process and retro fitting to existing refinery configurationsPerform financial modeling, cost estimates and projections on transport fuels and petrochemicals.Conduct techno-economic analysis and benchmarking of R&D projects against commercial and existing technologies Analyze the carbon footprint and energy intensity of new and existing refining/petrochemical processes; and suggest process improvements to reduce the carbon footprint and enhance energy efficiency. Liaise with business proponent and engineering teams within company. Mentor and oversee development of young engineers in the area of specialty. Find creative solutions to technical problems, both working individually and within a team.Requirements:Advanced degree in Chemical Engineering or relevant discipline from a recognized and approved program.At least 10 years of experience of process engineering in refining/petrochemicals industry.Experienced in refinery and petrochemical flowsheeting (PFD and P&ID), and equipment sizing and capital cost estimationKnowledgeable about standard refining, petrochemical processes (e.g. fluid catalytic cracking, hydrocracking, reforming,…etc.) and utilities process. Able to conduct detailed techno-economic assessment of R&D projects. Experience with R&D projects, process development and/or scale up is a plus. Strong project management, interpersonal skills and the capability to work effectively across multiple functional departments.

Responsibilities:Support strategic option analysis (e.g., make vs. buy, technology portfolio prioritization) via provision of cost-benefit assessments and analysis, as well as validation of economic and risk assumptions; present findings and recommendations based on analysis to senior management.Analyze trends and market intelligence to support the development of business cases (and value hypothesis) for technology projects going through the corporate technology stage-gate process.Create financial models and establish the value of technologies for potential commercial applications, in support of technology development, deployment and external licensing efforts. Support technology project teams in the development of a robust financial case for internally developed technologies, including techno-economic models for investment appraisal of technologies in the stage-gate process.Provide detailed financial and economic insights for evaluating technology project performance by analyzing relevant data against the technology scorecard KPIs.Support technology development, demonstration, internal deployment and external commercialization opportunities, including implementation of robust deployment plans. This includes tracking and accurately reporting the value realized from deployed technologies, as well as supporting internal and external reviews of the relevant financials.Provide input to help evaluate licensing opportunities to enable favorable license terms.Develop, manage and assure the quality of economic modelling tools used within TOC.Periodically review and improve financial models, maintain and update the repository of licenses and portfolio position on all approved technology/innovation applications.Work flexibly across TOC and/or R&D domains as required.Share and transfer techno-economic evaluation fundamentals knowledge to increase financial acumen in the organization. Requirements:Bachelor’s degree in Economics, Econometrics, Engineering, Statistics, Business Administration, or a related discipline. An advanced degree (MBA/Finance) is highly preferred.At least 15 years of professional experience, including a minimum of: 10 years in leading organizations in the energy or chemicals sector, and/or with leading management consulting firm(s); and five years’ conducting incremental, cost-benefit/effectiveness and budget impact analyses using mathematical, economic or statistical modelling tools and techniques, such as decision tree analysis, Markov modelling, and/or discrete event simulations, including Monte Carlo simulations and real options, risk adjustment, and risk management.In-depth knowledge and understanding of one or more relevant core businesses (downstream refining, petrochemicals, midstream, and upstream) and emerging technologies related to corporate sustainability (Circular carbon economy; CO2 capture, utilization and storage; nonmetallic materials; sustainable plastics; artificial intelligence; and industrial sensoring and monitoring).Ability to develop insights from market research to technology business case development; mastery in quantitative economic and financial analysis, portfolio modelling and technology valuation, including: incremental, risk-adjusted, cost-benefit, variance and scenario analyses, NPV, and sensitivity analysis, using a range of tools and applications (Microsoft Excel, SQL, SAS, R, MatLab, Tableau, and/or other VBA type software to analyze complex and large data sets, Planisware, or similar tools for portfolio and project management)

Skills

Industry

Location

Jobtitle

44 threat modeling Jobs found

Data Modeler

AI Lead

Data Engineer

Tech Lead Power BI

Data Engineer / Senior / Supervisor

Customer Marketing Manager

ASC - Project Finance - Sr Financial Analyst

Data Science Manager

ASC - Process Engineer

Techno-Economic Modeling Specialist

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

44 threat modeling Jobs found

Data Modeler

AI Lead

Data Engineer

Tech Lead Power BI

Data Engineer / Senior / Supervisor

Customer Marketing Manager

ASC - Project Finance - Sr Financial Analyst

Data Science Manager

ASC - Process Engineer

Techno-Economic Modeling Specialist

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.