Senior Analyst - Business Intelligence (Digital Analyst)

Data Consultant

Data Analyst (1 year contract)

Front End Bi Engineer

Data Science Manager

System Analyst

ASC - Downstream Data Scientist

Business Analyst

ASC - Downstream Pricing Data Analytics

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>

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>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</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>

<div>Responsibilities:&#10;<ul><li>Work closely with your colleagues to design efficient, stable and to the point products to drive commercial business cases and efficiencies within reporting and analytics and other data driven use cases&#10;</li><li>Create and maintain high quality and high-performance data visualizations such as dashboards</li><li>Own your products and track continuous customer satisfaction, stability, and benefits&#10;</li><li>Ensure easy user navigation is at the heart of all deliverables&#10;</li><li>Deliver self-service solutions for end-users and in general</li></ul><ul><li>Work with stakeholders to assist with data-related technical challenges</li><li>Follow best practice and existing guidelines but also push the limits</li><li>Thrive in a fast-paced environment and you get motivated by challenges as a true problem solver.</li></ul>&#10;Qualifications:&#10;<ul><li>Bachelor&#8217;s in Information Technology, Computer Science, Computer Engineer or related field</li><li>Minimum 5 years proven working experience as a front-end BI developer including some SQL</li><li>Building and delivering BI portals (.net, front-end tool, cms etc.)</li><li>Excellent organizational, presentation, analytical, written and verbal communication</li><li>Self-starter, curious and independent team player, able to effectively prioritize activities &amp; requests</li><li>Experience of working in a global or regional multi office working environment</li><li>Strong people engagement skills and used to manage senior management requirements</li><li>Technical expertise regarding visualization, storytelling and data models</li><li>Strong UI and UX competencies and enthusiastic about best practice data visualization</li><li>Strong knowledge of and experience with reporting tools such as PowerBI, QlikView, Qlik Sense or Tableau</li><li>Adept at recognizing, subscribing, and applying best practices, methodology, tools, and techniques to meet client requirements, timelines, and budgets</li><li>Experience in a data rich company</li><li>Experience in a Tech, Manufacturing business an advantage</li><li>Experience of working in an Agile development process a strong advantage</li><li>Experience in BI Back-end development an advantage</li></ul>&#10;</div><div> </div>&#10;

Purpose of Job Role: <ul><li>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 needs</li><li>collaborate as part of a cross functional team with business departments (Commercial, Marketing, Strategy, etc.) and IT (data engineering)</li><li>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 products</li><li>partner with IT to secure data models are built leveraging best practices and ensuring KPI automation</li><li>lead Data scientists team and support the designing of different solutions: best-in-class visualization, hypothesis testing (A/B testing), advanced models and algorithms deployments</li><li>The 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.</li></ul> Responsibilities: <ul><li>Develop strategical reports and dashboards with a Proof of Value and scalability approach</li><li>Develop and implement data products for main stakeholders (Commercial, Marketing, Finance departments)</li><li>Work as a translator between business and IT departments for KPIs definition and automation. Coordinate user-focused documentation for the data solutions</li><li>Collaborate with architects from the IT department to support data governance and quality efforts</li><li>Support requests prioritization to align workload to business strategy</li><li>Coordinate and develop teams of Data Scientists</li><li>Communicate insights, data products and reports status and results clearly to the partners</li><li>Negotiate requests, workloads and team assignment with different partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Mathematics, Actuary, Economy, Engineering, Computer science</li><li>Masters degree in Data Science, Computer Science, Statistics or related area is a plus</li><li>5+ years’ proven experience working on Data Visualization, Data Science, Machine Learning</li><li>Advanced experience with programming languages for data modeling (SQL, R, Python)</li><li>Advanced experience working with Business Intelligence platforms and tools (Microsoft Power BI)</li><li>Experience with Matillion is a plus</li><li>Project Management &amp; communication skills</li><li>Problem solving/critical thinking mindset</li><li>Highly organized</li><li>Data storytelling and communication skills</li><li>Proficiency in English</li></ul>

Responsibilities: <ul><li>Utilize proficient knowledge of design patterns to develop robust, maintainable, and efficient code in C#.NET, VB.NET, and ASP.NET MVC framework.</li><li>Design and implement scalable web applications using the ASP.NET MVC framework and Entity Framework.</li><li>Develop and maintain web services (SOAP/WSDL) ensuring secure and efficient data exchange.&nbsp;</li><li>Design, develop, and maintain database schemas, queries, and stored procedures.</li><li>Optimize database performance and troubleshoot issues as they arise.</li><li>Ensure data integrity and consistency across applications’</li><li>Manage and maintain version control systems, ensuring code integrity and version management.</li><li>Implement and follow best practices for source control and versioning.</li></ul>&nbsp;Requirements:&nbsp;<ul><li>B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.</li><li>Minimum of 4 to 10 years of work experience or equivalency is preferred</li><li>Knowledge and hands-on experience developing and supporting OSI Software based projects.&nbsp;</li><li>Experience with complex Microsoft SQL queries and stored procedures.</li><li>OSIsoft PI product experience (PI Historian, PI AF, PI Vision, Process Book, PI Builder, Datalink, PI AF SDK, PI WEB API, PI SMT, Event Frames, Notifications, PI RDBMS etc.)</li><li>Software development in Pl Visualization Suite, Pl AF System Explorer Design, PI WEB API.</li><li>Developing best practice designs incorporating the full OSl Soft stack.</li></ul>

Responsibilities: <ul><li>Formulates and leads guided, multifaceted analytic studies against large volumes of data.</li><li>Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.</li><li>Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.</li><li>Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.</li><li>Leads all data experiments tasked by the Data Science Team.</li><li>Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.</li><li>Develops methodology and processes for prioritization and scheduling of projects.</li><li>Analyzes problems and determines root causes.</li><li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li><li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li></ul> Requirements: <ul><li>Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields</li><li>5-7 years of professional experience</li><li>Proficient with one or more programming languages (Java, C++, Python, R, etc.)</li><li>Demonstrated experience applying data science methods to real-world data problems</li><li>Experience utilizing visualization tools to take advantage of the growing volume of available information</li></ul> Data Scientist Qualifications / Skills: <ul><li>Advanced analytical knowledge of data</li><li>Conducting big data analysis</li><li>Data conditioning</li><li>Programming advanced computing</li><li>Developing algorithms</li><li>Developing software and data models</li><li>Executing predictive analytics</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>Develop, maintain and continuously improve fit-for–purpose price forecast visualization tools.</li><li>Consult with Pricing Insights and Market Analysis team and AEs to gather information on global events affecting energy/ oil &amp; gas market and market trends.</li><li>Gather data from forward curves of all crude and products, market premium or discount values, costs of freight and other elements of Transfer Prices.</li><li>Compute transfer prices daily for M till M+3, according to the planning cycle.</li><li>Coordinate with AEs &amp; market insights for review and validation of prices to be issued</li><li>Issue price forecast weekly to the AEs to ensure timely identification of opportunities, estimate uplift margins and serve as a basis for negotiations among stakeholders.</li><li>Issue actual transfer prices on the last day of M-1 for M, to allow for timely review.</li><li>Perform periodic lookback of TP forecasting quality and identify trends.</li><li>Perform random checks and assist OAD to QA implemented prices on Standard and Non-Standard Cargoes.</li></ul> Requirements: <ul><li>Bachelor Degree in Statistics, Commerce, Marketing, Engineering, Business Administration or closely related specialty.</li><li>Post-graduate education or equivalent experience in MBA/ Statistics/Economics is desirable.</li><li>Deep knowledge of model development and utilization of excel functions.</li><li>Decent understanding of downstream business and supply chain.</li><li>5 to 10 years relevant professional experience (preferable in oil &amp; gas downstream business), including several years in field as data analytics including market research, corporate planning, business development).</li><li>Must have excellent communication and interpersonal skills and work effectively in cross functional teams.</li></ul>

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324 data visualization Jobs found

Senior Analyst - Business Intelligence (Digital Analyst)

Data Consultant

Data Analyst (1 year contract)

Data Consultant

Front End Bi Engineer

Data Science Manager

System Analyst

ASC - Downstream Data Scientist

Business Analyst

ASC - Downstream Pricing Data Analytics

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324 data visualization Jobs found

Senior Analyst - Business Intelligence (Digital Analyst)

Data Consultant

Data Analyst (1 year contract)

Data Consultant

Front End Bi Engineer

Data Science Manager

System Analyst

ASC - Downstream Data Scientist

Business Analyst

ASC - Downstream Pricing Data Analytics

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

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