Lead Planning & Performance Management Analyst - SCD

Strategy & Program Delivery Manager

Principal Systems Analyst – BI Developer

Techno-Economic Modeling Specialist

Senior Analyst - Business Intelligence (Digital Analyst)

Artificial Intelligence Specialist

Data Consultant

Business Analyst

Manager Analytics Projects & Delivery

Responsibilities : <ul><li>Provide analytical findings and recommendations relating to regular P&amp;PM tasks, such as business plan preparation, performance tracking measurement, and performance analysis and accountability reporting.</li><li>Conduct special P&amp;PM-related studies, such as the development of performance initiatives and business cases, benchmarking, risk management, design and redesign of measurements, processes and workflows, and information system-related changes.</li><li>Provide supervision, coordination and/or facilitation in the execution of regular and special tasks by other P&amp;PM personnel, as well as mentorship on P&amp;PM analytical practice.</li><li>Perform other related staff and analytical duties, as assigned.</li></ul> Requirements : <ul><li>As the successful candidate, you will hold a Bachelor’s degree in Business, Engineering, or a related discipline.&nbsp;Possession of an advanced business degree (e.g., MBA) and/or relevant professional certification (e.g., CMA, CFA, CPA) is preferred.</li><li>You should have 12 years of related experience, including a demonstrated capability and track record, in the practice of planning and performance management, and in the use of business intelligence tools.</li><li>Possess solid knowledge and understanding of management accounting, finance and Excel.</li><li>Previous experience in Oil &amp; Gas is preferred but not required</li><li>Have an excellent command of oral and written English</li></ul>

Responsibilities: <ul><li>Support the development and execution of strategy and governance, lead portfolio management, collaborate with partners to perform data collection, analysis and reporting, long range planning, and decision making.</li><li>Establish &amp; enable organizational change platforms and programs (e.g., transition to PBO) for key customers while building the organization capabilities to transform business needs.</li></ul> Accountabilities: <ul><li>Support strategy formulation by capturing relevant data &amp; inputs from various functions and identifying interdependencies across functional strategies.</li><li>Facilitate portfolio governance by monitoring the progress of the project portfolio and supporting the functional &amp; management governance forums.</li><li>Ensure continuous monitoring on the portfolio based on the aligned portfolio prioritization methodology to help S&amp;PD and Finance teams work with functions to reallocate projects effectively.</li><li>Prepare the consolidated market package with the updated business strategy performance and latest status of project portfolio to update the region LRP and Competitive Intelligence.</li><li>Generate and synthesize market-level competitive intelligence with other functions.</li><li>Work with the Business Intelligence team to build capability of data analytics and perform data analysis to support data driven decisions Business Development &amp; External Partnering.</li><li>Implement fit-gap skill analysis and support capability building programs/projects by working with functional teams and external vendors/consultants to develop new partnerships, channels, markets, processes, and systems Project execution: - Support execution of selected key projects - Work with project managers and S&amp;PD team to facilitate efficient governance of these projects.</li></ul> Requirements: <ul><li>Proven 3 years of demonstrated ability in a multinational environment, preferably with Project management and Planning experience</li><li>Strong quantitative, analytics and problem-solving capabilities</li><li>Strategic Processes &amp; Project/Program and Portfolio Management Principles,</li><li>Data affinity, Process Mapping &amp; Continuous Improvement</li><li>Sales and Marketing Experience; brand, consumer journey, or on key accounts</li><li>A degree in Management, Business, or Industry-related Course</li></ul>

Job Description:&nbsp;&nbsp; <ul><li>Principal Business Intelligence Developer position will work in a team environment to lead the team for delivering data-based business solutions. This will involve engaging clients, internal experts, consultants, contracted resources, and users to identify business needs.&nbsp;</li><li>The role will require contribution in all aspects of solution delivery from discovery through implementation and support by working with a group of BI Analysts/developers.&nbsp;</li></ul> Responsibilities: <ul><li>Conduct in-depth analysis of existing systems, business processes, and user requirements to identify areas for improvement and recommend solutions.</li><li>Collaborate with stakeholders to design and develop system solutions that meet business objectives, ensuring scalability, reliability, and security.</li><li>Lead and manage system analysis projects, including defining project scope, timelines, and deliverables, and coordinating with cross-functional teams to ensure successful implementation.</li><li>Elicit and document user requirements through interviews, workshops, and other techniques, ensuring clear understanding of business needs and translating them into system specifications.</li><li>Evaluate and recommend integration strategies for connecting new or existing systems, ensuring seamless data flow and interoperability.</li><li>Develop and execute test plans to ensure the functionality, performance, and reliability of systems, and oversee quality assurance processes.</li><li>Create and maintain comprehensive system documentation, including functional specifications, technical designs, user manuals, and training materials.</li><li>Collaborate with business users, IT teams, and external vendors to understand their needs, address concerns, and ensure alignment between business requirements and technical solutions.</li><li>Stay up to date with industry trends and best practices, and proactively identify opportunities for process improvement and system optimization.</li><li>Provide guidance and mentorship to junior analysts, fostering their professional growth and development.</li></ul> Requirements:&nbsp;Qualifications: <ul><li>Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization</li></ul> Experience:&nbsp;&nbsp; <ul><li>14+ years of strong Business Intelligence/Business Analytics experience or equivalency is preferred</li></ul> Desired- Technical Skills: <ul><li>Must have worked on ingesting/ modelling HR data in the Enterprise Data Warehouse.&nbsp;</li><li>Candidates with experience on Workforce data will be preferred.</li><li>Strong experience in the areas of Business Intelligence and Reporting, including but not limited to On-Prem and Cloud Technologies</li><li>Should be an expert in writing/ Optimizing and Debugging Complex SQL code.</li><li>Must have proven experience in complete MSBI stack including Power BI and delivering end to end BI solutions independently.</li><li>Must have technical expertise in creating data pipelines/ data integration strategy using ADF/ Synapse Pipeline</li><li>Should be an expert in dimensional modelling and data warehousing.</li><li class="ql-align-justify">Hands-on experience on DBT and Fabric will be preferred.</li></ul>

Responsibilities: <ul><li>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.</li><li>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.</li><li>Create financial models and establish the value of technologies for potential commercial applications, in support of technology development, deployment and external licensing efforts.&nbsp;</li><li>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.</li><li>Provide detailed financial and economic insights for evaluating technology project performance by analyzing relevant data against the technology scorecard KPIs.</li><li>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.</li><li>Provide input to help evaluate licensing opportunities to enable favorable license terms.</li><li>Develop, manage and assure the quality of economic modelling tools used within TOC.</li><li>Periodically review and improve financial models, maintain and update the repository of licenses and portfolio position on all approved technology/innovation applications.</li><li>Work flexibly across TOC and/or R&amp;D domains as required.</li><li>Share and transfer techno-economic evaluation fundamentals knowledge to increase financial acumen in the organization.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in Economics, Econometrics, Engineering, Statistics, Business Administration, or a related discipline. An advanced degree (MBA/Finance) is highly preferred.</li><li>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.</li><li>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).</li><li>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)</li></ul>

Responsibilities: <ul><li>Run E2E analytics projects from gathering business needs to validating hypothesis to output delivery, data visualization and generating value by providing data analysis-to-actionable insights</li><li>Understand complex and diverse technology infrastructure and identify sources and tools needed</li><li>Develop logical and conceptual data flows that are in support of project requirements and advise appropriate and effective use of data</li><li>Communicate and present technical information to non-technical stakeholders</li><li>Provide orientation and training to end users</li><li>Provide commercial perspective &amp; guidance to junior staff members working on individual use cases</li><li>Project &amp; stakeholder management activities, maintaining documentation to support line manager and update stakeholders on project status &amp; risks</li></ul> Requirements: <ul><li>4+ years of experience in analytics tools &amp; technologies or processes</li><li>Exceptional collaboration and communication skills, be able to convert stakeholders needs to real business problems</li><li>Ability to operate clearly in an ambiguous environment; ability to influence</li><li>Data science experience is a plus</li><li>Basic SQL, Power BI/data Studio other reporting tools</li><li>Knowledge of Google Analytics UA and moving to Google Analytics 4, at least basic knowledge of Google Tag Manager</li><li>able to work with console logs in Javascript</li><li>Google Big Query (nice to have),</li><li>English (business communication proficiency)</li></ul>

Overview<ul><li>We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions &amp; Data Management Division of the Digital Finance Department.</li></ul> <ul><li>Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning &amp; forecasting, performance management and the entire suite of digital solutions for the Finance Business line.&nbsp;Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC). The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.</li></ul> <ul><li>The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization. The analyst will also lead implementation initiatives where required in addition to managing post implementation support.</li></ul> Responsibilities<ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions</li></ul> Minimum Requirements<ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;&nbsp;</li></ul> <ul><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li></ul> <ul><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li></ul> <ul><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead Data and Analytics team that supports customers big data platform</li><li>Partnership with customer’s technology team to create data products</li><li>Provide BAU support to suite of Data platform and data products</li><li>Ensure zero audit issues, closely monitor compliance and governance for applications managed by the team.</li><li>Ensure production stability and incident resolution as per the agreed turnaround time and SLA</li><li>Proactively identify compliance, process improvements/automation and work with customer to improve them</li></ul> Requirements: <ul><li>3 to 5 years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BI</li><li>Experience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres)</li><li>Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)</li><li>Proficiency in one of the programming languages preferably PySpark or Python</li><li>Strong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.</li></ul>

Responsibilities: <ul><li>Analyze sales data to identify trends, patterns, and opportunities for growth in the country.</li><li>Drive countries to collect different data – retailer data , promoter data , display data , etc</li><li>Generate regular reports and dashboards to track key sales metrics, including revenue, unit sales, market share, and profitability.</li><li>Use multiple data sources to analyze, track, interpret and make clear and concise recommendations on action plans for the Sales and Trade Ops teams to drive sell-out across all product categories</li><li>Apply expertise in quantitative and qualitative analysis to synthesize trends and be able to tell the story behind the numbers</li><li>Conduct market research and competitive analysis to understand consumer preferences, market dynamics, and emerging trends.</li><li>Collaborate with Sales, Marketing, and Product teams to develop sales forecasts, pricing strategies, and promotional campaigns.</li><li>Provide recommendations for optimizing product assortment, inventory management, and distribution channels based on data-driven insights.</li><li>Support sales team with data-driven decision-making, including customer segmentation, targeting, and territory management.</li><li>Identify areas for process improvement and efficiency gains within the sales operations through data analysis and automation.</li><li>Present findings and recommendations to senior management and stakeholders in clear and concise reports, presentations, and verbal communication.</li><li>Stay updated on industry developments, market trends, and best practices in sales analytics and business intelligence.</li></ul> Requirements: <ul><li>You should have a bachelor’s degree or higher in business analysis, business administration, finance, or a related field</li><li>Fluent in English (oral and written)&nbsp;</li><li>Other APAC Language knowledge would be a valuable addion</li><li>At least 3-5 years of Data &amp; Analytics experience (e.g. in a consultancy, agency, or on the customer side) - ideally with a marketing/ e-commerce industry background</li><li>Experience in data analysis and visualization tools such as Tableau, MS Power BI, QLIK, etc.</li><li>Advanced MS Office skills, with distinct Excel. SQL expertise&nbsp;</li><li>Business reporting system knowledge (i.e. SAP, Qlikview)&nbsp;</li><li>Optional skills are a plus: Digital analytics tools (Adobe Analytics, Google Analytics), Coding: Python/R/JavaScript, Experience with data science projects</li></ul>

Responsibilities: <ul><li>Lead Data and Analytics team that supports customers big data platform.</li><li>Partnership with customer’s technology team to create data products.</li><li>Provide BAU support to suite of Data platform and data products.</li><li>Ensure zero audit issues, closely monitor compliance and governance for applications managed by the team.</li><li>Ensure production stability and incident resolution as per the agreed turnaround time and SLA.</li><li>Proactively identify compliance, process improvements/automation and work with customer to improve them.</li></ul> Requirements: <ul><li>3 to 5 years of experience in Data Visualization using Tableau. Experienced in QlikSense/Power BI.</li><li>Experience with enterprise data lakes, datastore applications (Snowflake, Redshift, Postgres).</li><li>Prior hands-on experience in writing SQLs to fetch data from various data source (Database, API, JSON)</li><li>Proficiency in one of the programming languages preferably PySpark or Python.</li><li>Strong understanding in investment operational systems and analytics/business intelligence tools for creating data products and analytical offerings to the firm.</li><li class="ql-align-justify">Prior experience in leading multiple smaller teams to deliver data products, provide BAU support to data platforms and supporting customer with audit, compliance matters.</li></ul>

Role Description: <ul><li>This role will manage a portfolio of projects and analytics products to internal stakeholders (customers).</li><li>The job holder will coordinate the work accross multiple initiatives and for various data domain, maintaining a very close connect to internal stakeholders.</li><li>It requires understanding of analytics and its impact on business, project management and digital product lifecycle as well as team leadership.</li><li>This role will deal with ambiguity and uncertainty in order to plan and deliver analytics products. Key stakeholders will be of Manager, Director and VP level seniority, therefore a proper comfort, building rapport and demonstrating professionalism is required.</li></ul> Responsibilities: <ul><li>Oversee the design, development and implementation of analytical products and solutions (data models, reporting systems, data automation systems, dashboards and performance metrics, advanced analytics).</li><li>Drive cross-functional projects using analytics and Business Intelligence solutions to discover insights that will guide strategic decisions and uncover value delivery opportunities.</li><li>Drive successful completion of initiatives from ideation until finalization, through effective management of the team and effective collaboration with stakeholders. Ensure high quality throughout the cycle.</li><li>Recruit, train and supervise analyst-level employees.</li><li>Continuously improve solutions, act as consultant to stakeholders to seek better ways to improve value of analytics, connect existing products to create new solutions.</li><li>Forge partnerships with stakeholders, manage conflicts and build the relations towards a trusted partner, in an independent manner.</li><li>Generate quantitative and qualitative insights powered by analytics tools and solutions. Work closely with stakeholders to support data driven decisions (implementation).</li><li>Define, measure and derive value out of analytics products.</li><li>Examine, interpret and report results of analytical initiatives to stakeholders in markets, functions, technology and leadership.</li><li>Improve PM Business Solutions Analytics department through proposing new ways of working upskilling of the workforce and delivery of ad-hoc projects.</li><li>Explore early stage analytics Proof Of Concepts until full service deployment (analytics incubation) at later stage. Continuously define</li></ul> Requirements: Skills and competences: <ul><li>Preferred business, economics or technical degrees (STEM) but not limited to.</li><li>Equivalent experience can be obtained through work.</li><li>Required constant upskilling through various trainings, candidate should have a broad portfolio of post-graduate courses and certificates in the domain of Analytics, Data, Performance, DIgital.</li></ul> Work experience: <ul><li>At least 10 years of experience</li><li>Including solid analytical roles in Commercial, Finance or Operations. Experience with People management.</li><li>Experience with analytics products life-cycle management (from initiatiion, through build until run&amp;support). Experience &amp; practical application of Analytics tools and methods. Proven experience in project management role.</li><li>People management experience.</li><li>A plus : experience with data visualization tools, database querying languages, programming, advanced analytics and ML</li></ul> Other skills/ function specifics: <ul><li>Stakeholders management - building rapport with stakeholders, managing service delivery communication, conflicts resolution, easy and comfort around higher management</li><li>Dealing with ambiguity and paradox, changing priorities.</li><li>Strong communicator with presentation skills.</li><li>Experience with agile ways of working as well as project management for digita products.</li><li>Certificates/trainings: range of trainings covering analytics skillset</li></ul>

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560 business intelligence tools Jobs found

Lead Planning & Performance Management Analyst - SCD

Strategy & Program Delivery Manager

Principal Systems Analyst – BI Developer

Techno-Economic Modeling Specialist

Senior Analyst - Business Intelligence (Digital Analyst)

Artificial Intelligence Specialist

Data Consultant

Business Analyst

Data Consultant

Manager Analytics Projects & Delivery

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560 business intelligence tools Jobs found

Lead Planning & Performance Management Analyst - SCD

Strategy & Program Delivery Manager

Principal Systems Analyst – BI Developer

Techno-Economic Modeling Specialist

Senior Analyst - Business Intelligence (Digital Analyst)

Artificial Intelligence Specialist

Data Consultant

Business Analyst

Data Consultant

Manager Analytics Projects & Delivery

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

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