Sales Operation Analyst

Commercial Finance Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Manager, Data Engineering

Senior Manager - Portfolio Development

Accounts Receivable (6 Months Contract)

Sales Manager (HVAC)

Finance Analyst

Senior Data Engineer

Responsibilities: <ul><li>Support performance analysis: Assist in conducting in-depth analysis across sales representatives, segments and territories.&nbsp;</li><li>You will help identify trends, pinpoint growth opportunities and diagnose execution gaps to support data-driven improvements.</li><li>Assist with compensation planning: Collaborate with sales operations, leadership and compensation teams.&nbsp;</li><li>You will help gather data and provide analysis for incentive and compensation plans that align with strategic goals and recognize high performance.</li><li>Contribute to quota planning: Support quota planning and development processes.&nbsp;</li><li>You will help with data reviews to ensure transparent and equitable business goals that reflect current market realities.</li><li>Maintain data hygiene: Assist in establishing and following protocols for data accuracy, consistency and security to support trustworthy decision-making across the commercial organization.</li><li>Provide dashboard and reporting support: Contribute to the design, build and maintenance of advanced dashboards and reports.&nbsp;</li><li>You will help ensure sales teams and senior leadership have access to actionable intelligence for business decisions.</li><li>Support market research efforts: Help conduct customer, market and competitor research.&nbsp;</li><li>You will assist in generating timely insights that guide commercial strategies and position company for long-term growth in a competitive market.</li><li>Assist with win/loss analysis: Help analyze deals won and lost to provide strategic insights on pricing.&nbsp;</li><li>You will support identifying drivers of sales outcomes and share recommendations for competitive approaches and sustainable growth.</li><li>Aid in forecast planning: Work with business leaders to support and improve sales forecast planning.&nbsp;</li><li>You will assist in integrating performance metrics, pipeline insights and external market trends to inform resource allocation.</li></ul> Requirements: <ul><li>Relevant educational background in data analytics, sales, revenue operations, marketing, finance, or a related field, including hands-on experience through coursework, projects, or internships.</li><li>Exceptional analytical skills with the ability to solve complex problems using clear and actionable data while translating into actionable business insights</li><li>Excellent communication skills, with the ability to clearly present data insights and recommendations to cross-functional teams and business leaders</li><li>Advanced Microsoft Excel skills, including experience with formulas, pivot tables, data modeling, and large dataset analysis</li><li>Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment</li><li>Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.</li></ul>

Responsibilities: <ul><li>Own Managerial P&amp;L planning and forecasting, delivering accurate and documented forecasts and budgets</li><li>Lead and own the India FP&amp;A calendar (cross functional view – connected with S&amp;OP and Regional timeline)</li><li>Accountable for managerial P&amp;L reporting in Campari group consolidation system.</li><li>Provide visibility on P&amp;L by SKU / brand / state / channel / customer down to GP and/or CAAP and by account.</li><li>Manage SG&amp;A in collaboration with functional leaders.</li><li>Provide clarity on business performance drivers and variations vs previous forecasts, Budget and prior years</li><li>Pilar of the S&amp;OP process, leading the Volume to value conversion and ensure consistency with commercial planning.</li><li>Provide management relevant and accurate analytics providing visibility on the R&amp;O and as such, enabling effective business decisions.</li><li>Secure integrity of the Depletions/sell out reporting by brand, by state, by channel.</li><li>Understand COGS variances in collaboration with regional supply chain finance team</li><li>Work in close collaboration with controlling team to secure DD and A&amp;P accruals accuracy, documentation and relevance at all time.</li><li>Support Revenue Optimization agenda, partnering commercial team to optimize revenue performance by customers/distributors/channel and maximize profitability.</li><li>Drive internal control &amp; operating efficiency of the promotional program and trade spend.</li><li>Support Key Account managers for trade terms negotiation, providing relevant analytics.</li><li>Develop standardized Value Chain supporting commercial team needs</li><li>Develop sound and reasonable business case for innovation/new product launch/footprint expansion</li><li>Drive ROI analysis for all key initiatives – maximization of investment, share learnings.</li><li>Continually work with functional teams to drive profitable growth and strive for continuous ongoing improvement.</li><li>Drive initiatives through increased focus on the effectiveness and profitability of sales spend and through the proactive identification of profit/growth opportunities.</li><li>Represent finance and challenge financial efficacy in key cross functional forums like Exec reviews, valuation meetings.</li><li>Develop tools to support cross functional team work and decision making and help improvement of internal processes.</li><li>Support projects led by group aiming at improving analytics and efficiencies across finance</li></ul> Requirements: <ul><li>8-10 years experience in commercial finance and FP&amp;A role. Ideally close working experience with sales and marketing/ supply chain in a commercial capacity, preferably in the liquor industry or FMCG.</li><li>Qualification – Chartered Accountant</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Advanced excel and strong power-point skills</li><li>SAP, Power BI, BPC&nbsp;</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Key Responsibilities: Global Portfolio Strategy <ul><li>Define and implement a unified global portfolio vision to meet future consumer/customer needs for filters and beyond filters (combustibles and next generation products)</li><li>Direct multi category program and project management to ensure innovation efforts are focused towards building a healthy portfolio</li><li>Balance global consistency with regional customization to maximize market relevance and profitability.</li><li>Oversee portfolio lifecycle management, including launches, rationalization, and category transitions.</li></ul>&nbsp;Market &amp; Consumer Insights <ul><li>Lead global research initiatives to capture consumer trends, competitive intelligence, and regulatory shifts across regions.</li><li>Translate insights into global portfolio strategies and innovation pipelines</li></ul> Innovation &amp; Product Development <ul><li>Drive global innovation programs, ensuring new products meet consumer demand and comply with international regulations.</li><li>Be the one stop shop for innovation – where commercial team and customers channel their initial ideas and requests before being formalized into innovation projects</li></ul>&nbsp;Cross-Regional Leadership <ul><li>Align regional commercial directors and managers under a global framework.</li><li>Facilitate knowledge sharing and best practices across markets to accelerate growth.</li><li>Act as the key liaison between commercial, operations and innovations teams</li></ul>&nbsp;Regulatory &amp; Compliance Oversight <ul><li>Monitor and interpret global regulatory developments impacting tobacco categories.</li><li>Ensure portfolio decisions adhere to international laws, trade agreements, and corporate responsibility standards.</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in engineering ,Business, Marketing, Economics, or related field; MBA strongly preferred.</li><li>12+ years of experience in FMCG, tobacco, or regulated industries, with at least 5 years in global portfolio/category leadership.</li><li>Deep understanding of international tobacco industry dynamics, consumer behavior, and regulatory frameworks.</li><li>Proven track record in global strategic planning, innovation, and cross-market leadership.</li><li>Exceptional communication, negotiation, and stakeholder management skills across diverse cultures.</li></ul>&nbsp;Competencies <ul><li>Strategic global mindset with commercial acumen.</li><li>Ability to balance global consistency with local market needs.</li><li>Leadership and team development across geographies.</li><li>Strong influencing skills in complex stakeholder environments.</li><li>Ethical decision-making and commitment to responsible global business practices.</li></ul>

Responsibilities: <ul><li>Manage AR related activities in SAP including Customer Onboarding (as per policy), customer master database management, Credit Limit mapping, Pricing database update, Sales order release</li><li>Manage AR overdue status, claims processing, collection status, provisioning of doubtful debts, bad debts</li><li>Managing regularly AR balances reconciliations and liaison with commercial team and customers, consultants etc.</li><li>Support at month end for accruals, movements, documentation etc.</li><li>Support in statutory and internal audits related to above areas</li></ul> Requirements: <ul><li>Minimum 3 Years experience of SAP S4 for Sales / AR related Module</li><li>Minimum 3 Years experience of Alco Bev Industry – AR Management standpoint</li><li>Strong analytical skills with the ability to interpret data and drive business decisions.</li><li>Advanced proficiency in Excel and data analytics for reporting, forecasting, and planning.</li><li>Process-driven mindset, ensuring structured execution and business predictability.</li></ul>

Responsibilities: <ul><li>Be responsible for driving HVAC vertical $ sales in South-East Asia (SEA) region</li><li>Manage the opportunity pipeline across accounts/territories in SEA region for HVAC.</li><li>Lead, coach, and develop sales professionals to execute consultative, solutions-focused selling.&nbsp;</li><li>Drive HVAC account planning, prioritization, and deal execution to achieve revenue targets.&nbsp;</li><li>Provide in-depth product expertise on company offerings to support primary account owners during sales discussions.</li><li>Conduct product demonstrations and presentations for OEM customers, highlighting key features and benefits.</li><li>Maintain disciplined use of CRM tools to manage pipeline visibility, forecasting, and account activity.&nbsp;</li><li>Collaborate cross-functionally with technical, marketing, and operations partners to deliver customer value.&nbsp;</li><li>Partner with country teams to grow company share of wallet with Key and Core customers</li><li>Collaborate with country teams to expand company market reach through direct and indirect customer appointments</li><li>Collaborate with the Product Marketing and Solutions teams to create customized solutions to meet specific customer needs</li><li>Drive new product launches in collaboration with the sales team</li><li>Assist in troubleshooting service and installation problems, offering technical support when needed</li><li>Analyze market trends and competitor activity to inform market strategies/product positioning to Product Marketing/Regional Leaders</li><li>Build and sustain strong relationships with key customer decision-makers within assigned markets.&nbsp;</li></ul> Requirements: <ul><li>Hold at least a Bachelor’s degree or higher, preferably in Mechanical/Electrical Engineering&nbsp;</li><li>Seven (7) years of experience in HVAC, refrigeration, or related technical sales environments.&nbsp;</li><li>Prior experience managing or leading account-aligned or territory-based sales teams.&nbsp;</li><li>Demonstrated ability to lead sales teams and deliver consistent revenue results.&nbsp;</li><li>Strong capability in opportunity management, pipeline management, and forecasting.&nbsp;</li><li>Experience coaching sellers in consultative and solutions-based sales approaches.&nbsp;</li><li>Ability to manage account strategies and prioritize resources to maximize growth.&nbsp;</li><li>Good verbal and written communication skills, fluent in Thai and English and good listening and computer skills.</li><li>Effective communication skills across customer, team, and internal stakeholder groups.&nbsp;</li><li>Independent with minimum supervision and a problem solver.</li><li>Legal authorization to work in Thailand – sponsorship will not be provided</li></ul>

Responsibilities: <ul><li>Ensure timely and high-quality financial planning and costing activities, which include preparing the Monthly Financial Review package, executing Monthly Cost Rollup and Product Cost/AUC simulations, and setting standard rates on a half-yearly basis.</li><li>Conduct variance analysis comparing Actual vs Outlook vs Budget for areas such as Output Quantity, Standard Cost Absorption, Material Consumption, Inventory Changes, and Utilization.</li><li>Prepare Quarterly Outlooks and Yearly Budgets, including coordination for Internal Sales and Purchases with inter-company counterparts.</li><li>Participate in ad hoc projects, such as process automation and improvement initiatives.</li></ul> Requirements: <ul><li>Educational Background: Applicants should possess a degree in Accountancy, Business Administration, or Economics.</li><li>Experience: Two to three years of experience in Financial Planning and Analysis, Accounting, Costing, or a related field is required.</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Skills

Industry

Location

Jobtitle

37 economic modeling Jobs found

Sales Operation Analyst

Commercial Finance Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Manager, Data Engineering

Senior Manager - Portfolio Development

Accounts Receivable (6 Months Contract)

Sales Manager (HVAC)

Finance Analyst

Senior Data Engineer

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

37 economic modeling Jobs found

Sales Operation Analyst

Commercial Finance Manager

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Manager, Data Engineering

Senior Manager - Portfolio Development

Accounts Receivable (6 Months Contract)

Sales Manager (HVAC)

Finance Analyst

Senior Data Engineer

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.