Relational databases. a Master's in advanced analytics), You stimulate everyone to think out of the box and come up with innovative ideas yourself, You also have experience in implementing and following up recommendations of your analyses, You have good mastery of English as well as Dutch and French, Drive Revenue reporting with focus on demand/supply related KPIs, Market research with respect to Revenue and Product Management requirements, Competitor analysis and customer surveys to conduct first hand market information, Serve as analytics expert by analyzing data in order to make better business decisions, Develop and implement databases, data collection systems, data analytics and other strategies that optimize business efficiency and quality, Acquire from primary or secondary data sources and maintain databases, Identify, analyze and interpret business trends or patterns in complex data sets, Work with department members and management to prioritize business and information needs, Minimum of a Bachelor Degree in Mathematics, Economics, Computer Science, Information Management or Statistics and 4-6 years experience in a similar capacity, Strong knowledge of and experience with reporting packages (Business Objects, Qlikview etc), databases (SQL, Access), programming (XML, Javascript or ETL frameworks), Knowledge of statistics and experience using statistical packages for anaylzing datasets (Excel, SPSS, SAS etc), Strong analytical skills with the ability to collect, organize, analyse and disseminate significant amounts of information with attention to detail and accuracy, Skilled at working effectively with cross functional teams in a matrix organization, Self-starter with the ability to multi-task and with a proven ability to handle multiple deliverables with tight deadlines, Ability to work independently and as a member of a team, Ability to operate in ambiguous environments, A multicultural, innovative and dynamic environment, The opportunity to learn from people with different backgrounds and interact with international clients working for leading companies in their industries, The chance to prove and apply your leadership, coordination and project management abilities, The opportunity to develop your data analytics skills, Innovative start-up culture with entrepreneurship opportunities for growth and visibility and a competitive salary, Modeling complex business and financial use cases, Discovering insights from data for making sound organizational decisions and identifying opportunities (efficiency, cost, revenue, fraud, risk and safety, compliance, etc.) analysis, Retail up-sell/ cross sell using footfall patterns, Opinion mining, Sentiment analysis, Recommender systems, Prognostics, Predictive maintenance, Machine learning, Sequential modeling, Reinforcement learning and Optimization, Predictive analytics, or Event risk modeling, Statistical Techniques: Modelling and variable selection, Multivariate data analysis, Frequentist linear statistical inference, Computational Bayesian inference, Parallelizing Monte-Carlo (ABC-SMC, pMCMC, Number generation), Etc, Hadoop: Flume, Hbase, HDFS, Hive, Hue, MapReduce, Oozie, Pig, Spark, Sqoop, Storm, YARN, Zookeeper, Database: Cassandra, MongoDB, MSSQL/Oracle, MySQL, Teradata, Machine Learning: Azure, R, Python-Scikit- learn, Data Warehouse: AWS, Azure, Teradata, Other, Visualization: Tableau, Qlick Sense, Power BI, Four to six years of working experience in the consulting, accounting or financial industry; strong experience in data analytics preferable from a risk, compliance or fraud department, Bachelor's degree in a numerate discipline e.g. The Opportunity . Microsoft SQL Server Reporting Services), IT general controls (e.g. Astute technology-business translates operational needs into technical solutions. is a plus, You are able to use your business skills and your technical skills alternately; you depart from the business question, determine the solution to be implemented and translate all this into scripting language (SQL or other) and statistical analysis to ultimately present the result in a language adapted to the internal customer or colleague, You ensure an efficient and appropriate assignment of tasks to your team members and ensure the tasks are executed according to qualitative and quantitative targets, You either have some years of experience in a complex and analytical environment or fairly limited professional experience but appropriate training in advanced analytics (e.g. Experience with Tableau software is desirable, Demonstrated business savvy with strong communication skills are essential with clients, vendors and management, 5+ years related experience in Analytics and Database Marketing experience is very desirable, Degree or MBA in business/commerce, analytics, finance, computer science or engineering preferred, Previous product area or business line experience highly preferred, Bachelors in Computer Science or related area, At least 6 years of software development, architecture and solution design experience, At least 3 years of experience on Big Data Platform, Strong experience gathering requirements from the client/business and documenting them as functional requirements, Experience in identifying, managing and controlling requirement changes, process improvement, workflow, and/or evaluation of business processes, Effective in handling business user queries, Experience leading projects with responsibilities that include gathering requirements, developing business plans, Proficient with Apache Sqoop based data ingestion, Expertise in configuring and maintaining Oozie workflows, Proficient with Pig scripting, Hive queries, Expertise Python or Java programming and debugging, Expertise in HBase tables design and maintenance, Build instrumentation on big data technologies, Experience in maintaining scalable applications and performance tuning expertise is highly desired, Bachelor's in Computer Science or related area, 6+ years of software development, architecture and solution design experience, 3+ years of experience on Big Data Platform, Expertise Python programming and debugging, The Digital Analytics Team enables and empowers the Digital Channels organization with analytic insight and solutions to support planning, tactical execution and optimization of the customer experience, Additionally, through digital analytics, this role is responsible for guiding tactical execution and identifying new opportunities to drive and grow sales across aa.com and the mobile app, The Optimization team works closely with UX, Product Planning, Merchandising, Loyalty, Revenue Management, and other teams to design, implement, and measure statistical experiments, Through Optimization, this team also provides insights and recommendations based on its finding from these statistical experiments, The right candidate will thrive in a fast paced and rapidly evolving environment, work to drive innovation and continuous improvement for efficiency and sustainable growth, Manage the fire drill nature of the job and respond to immediate needs of the business from release reporting to making business critical decisions and recommendations ensuring data is properly interpreted along the way, 7+ years of experience solving complex business problems with advanced data analytics in highly customer facing digital environment, 3+ years experience in a management role overseeing coordinated delivery of Analytics with a focus on digital and travel, Proven ability to leverage data, quantitative analysis and work with advanced analytics to deliver actionable insights, guide strategic decisions and directly drive business results, Strong experience working with large data sets and web analytical tools (SAS, Adobe Analytics, Mosaic, Hadoop, etc), Significant experience in one or more of the following areas: operation analysis, statistics, planning, marketing, forecasting, sales analysis, E-Commerce, or customer research, Ability to handle multiple responsibilities or projects that have strict deadlines, with minimal amount of supervision or direction, Ability to negotiate project priorities with several internal clients, Drive, design, develop, maintain and set the vision, respective capability and services for the analytics and innovation function, Support the Office of the Chief Data Officer (CDO) in establishing the Analytics Hub, Envisioning, designing & delivering the future state for experimental analytical services, including strategies, Provide thought leadership & ensure adoption of emerging industry advancements in analytics & artificial intelligence; driving competitive advantage, particularly in relation to processing of complex business events; unstructured & semi structured data sets, Build and advocate data-fueled dashboards which enable quick insights that help our cross-functional partners improve outcomes, Partner with customers to identify and support key strategies to drive the brands strategic imperatives, with a strong focus on digital insights, actions & visual analytics, Focused on discovery of the digital insights hidden in vast, disparate amounts of data to help us make smarter decisions in Commercial organization, Ability to perform analysis with an emphasis on presenting results in a clear manner, Provide insight into leading analytical communication practices, and ultimately produce new and creative solutions that will become part of our core deliverables, Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas, Research, design, implement, and validate cutting-edge dashboards to analyze diverse sources of data to achieve targeted outcomes, Provide expertise on Tableau and Dashboard concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization, Primary interface for Digital Marketing, Tableau and other 3rd party analytics dashboard vendors, Bachelors Degree in business, economics, statistics, design, marketing or related quantitative discipline, Minimum of 5 years experience in digital, data driven dashboard designs, Strong sense of teamwork and collaboration skills, Knowledge of Tableau, Excel, Word, and PowerPoint, Possesses high level initiative, ability to multi-task, and is passionate about asking and answering questions in large datasets, Designs advanced visualizations, presentations across predictive and prescriptive analytics, Excellent communication skills (both oral and written), with the ability to communicate across multiple functions and levels, 5+ years experience in visual data design, digital, analysis and deploying the results Pharmaceutical/Biotech/Healthcare experience preferred but not necessary, Improve profitability and drive revenue through creating effective KPIs and optimization of metrics that affect them, Guide the development of key processes by supporting, prioritizing, defining, and gathering needs for the cross-functional projects; convert this data into business narratives for areas of development, Lead analytics on projects of varying sizes and complexity, including report automation, data visualization, tool implementation requirements gathering and documentation, split testing, and ad hoc analysis and data mining, Consult with digital team leaders to identify new tools and opportunities to increase business results, Drive strategy for customer acquisition and customer conversion by developing models, forecasts, and analyses that are based on previous activity and benchmark data, Interpret analytical findings and/or recommend an approach and solution(s) that are relative to the strategic objectives of the project, company, and stakeholder needs, Use advanced analytics techniques on large data sets for the purpose of delivering ad hoc analyses and insights; formulate analytics-enabled solutions in an online advertising environment, Facilitate and perform consistent and reliable data collection, utilizing primary and secondary research methods; perform analysis for testing, targeting, creative and offers, Create post campaign reporting that not only highlights results but also delivers actionable insight, opportunities for optimization, and provides a comprehensive story’, Manage and provide direction to analytics team including development of analytical skills and validation of analysis and results, Motivate, coach, organize, mentor, the data and analytics team members, Collaborate with client and strategy team to identify client analytics opportunities, Lead presentation of business analysis results and recommendations to senior management and key business stakeholders, Provides solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives, Involved in setting strategic direction to establish near term goals for area of responsibility, Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters, Has latitude in decision-making and determining objectives and approaches to critical assignments, Decisions have a lasting impact on area of responsibility with the potential to impact outside area of responsibility, Manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture, Support Go-to-Market activities for the industry value team for Health and Public Service, Minimum of 5 years experience managing asset development and data science teams, Minimum of 8 years recent experience with consulting or implementing transformational change in the healthcare industry, Minimum of 8 years delivery experience in applying advanced modeling techniques in a business environment: strong understanding of statistical concepts and predictive modeling.
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