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We are searching for a CX (Customer Experience) Data Analyst, also expert in unstructured data analysis. He/she is a high performing, passionate professional working in the intersection of customer experience, management consulting, and data science. His/her role will be to increase the value of sandsiv+ Customer Intelligence platform by bringing to light data-driven stories for our clients, and then partner with them to take actions to improve their customer experience and achieve business results. ROLE ACCOUNTABILITIES As a CX Data Analyst you will work with senior decision makers helping their companies improve their business results through the right CX strategies and implementations. You’ll face and understand real business problems by analyzing customer, operational and financial data, taking value from structured and unstructured customer feedbacks. You will also work with NLP, topic modelling and text classification helping clients to gather actionable insights from the Voice of Customer. You will work mainly in three big areas: Consulting engagements: to uncover actionable and commercially focused insights and deliver recommendations to senior decision-makers at our clients; for this task you will work with the CX Senior and Principal ConsultantsSupport the development of the platform sandsiv + collecting the needs of clients; for this task you will work with the sandsiv + platform ManagersSupport the development of new consulting offerings through deeper analytics; for this task you will work with the Regional Directors You will work as part of a dynamic team of senior professionals with deep interconnections with all the roles. REQUIREMENTS Bachelor’s Degree in quantitative/research field or equivalent practical experience2+ years of experience in data analytics data science internal strategy/operations or marketing analytics roleDemonstrated statistics and data analytics experience working with a variety of data sources and large amounts of data from raw data to insightsExperience in regression-based analytics of large datasetsExperience in unstructured data analysis knowledges in Natural Language Processing using up to dated methodologies and technologiesDemonstrated experience in client-facing roles or experience working internally with senior stakeholders to enable their decision-makingMother tongue ItalianEnglish proficiency levelKnowledge of German is a plus

Job Description We’re looking for an outstanding Lead Data Scientist to join the VF Central Data Analytics team in Ticino, Switzerland. You may ask “Just who is VF?”. Well, we are the global company behind some of the world’s leading lifestyle brands. Household names such as Vans, Timberland, The North Face, Napapijri, Eastpak and Kipling. As one of the largest apparel providers in the world, we are passionate about finding great people to join our extended family. Let's talk about the role... The Lead Data Scientist will drive EMEA Direct-to-Consumer Data Science practice, in collaboration with the Global Team. Reporting to the EMEA Data & Analytics Lead, the Lead Data Scientist will be responsible for: Apply data modelling and analytical pipeline to large data set Manage e2e lifecycle for advanced data Science products Prove Business impact by leading scalable data initiatives across different domains, engaging different stakeholders and teams to increase efficiency and productivity Create and own the right set of metrics and audit mechanisms to track the performance of such initiatives Deal with ambiguity, conduct deep dive analyses on business problems, and formulate conclusions Provide leadership for Data Science domain, guide and inspire data Science team, identify new analytics opportunities and engage with business and technology partners Analytics Tracks: Marketing, Demand forecast, Consumer Lifecycle management, Pricing & Stock optimization, Channel Performances You will make the difference through your: MSc or PhD in quantitative or scientific discipline (Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics or strongly related subjects) 5-7 years of proven experience in Data science initiatives in Retail space, with proven knowledge of bringing to live analytical solutions Good knowledge of data structures and technologies (relational DB, file formats, NoSQL DB, etc.) related to Big Data and Cloud computing (Hadoop, Map Reduce, Spark) Ability to master few of the following languages: Python, Java, Scala, R, Matlab, Octave , as well as a dvanced SQL knowledge Experience in managing Data Science team Full proficiency of technical and business English What’s in it for you? Most companies like to say they offer a competitive salary, an amazing bonus and pension scheme as well as staff discounts (btw we offer 50%!). We also do this, only quite different. Because it’s not just our products which set us apart from others. It’s our people and we believe they deserve to be nurtured and looked after. That’s why, on top of the usual benefits, we offer much more: Career ownership, enabling you to build your knowledge and experience across different brands and even different countries A supportive feedback-based culture where respect and integrity guide us in what we do Tailored training. From a thorough induction to ongoing online and face-to-face training, we are committed to helping you grow, both professionally and personally. An inclusive environment where people of diverse backgrounds, lifestyles and nationalities love working together On site gym offering health and well-being initiatives Subsidised canteen as well as break out areas offering complimentary hot drinks

We are currently seeking a Customer Experience Solution Engineer excited by the intersection between technology and business to join our growing team of Customer Intelligence professionals. You will work with sales and customer success teams to coordinate requirements from prospects and customers. The role requires a person who is comfortable both with technology and business requirements in an international and flexible environment. PRIMARY RESPONSIBILITIES Solution Engineer - Support and maintain contact with SandSIV clients base to ensure customer satisfaction and understanding of their business and provide the requested VOCHUB features accordingly to their needPre-Sales Engineer - Be the go to technical resource to address deep product related questions for the Sales team for respond to RFP and RFQ product demonstration for proposals for demos for product trials and for needs analysisProduct Development - supporting the continuous SandSIV products development – VOCHUB and ANONYMO (this include the integration analytics and visualisation modules) from a Research & Development and client needs point of view OUR REQUIREMENTS Degree in computer science or similar (ETH Computer Science in Business)Knowledge in the area of Customer Experience Management Machine Learning and Data VisualizationKnowledges in Customer Feedback Management from classical to digital transformationKnowhow and experiences in Data Analytics from raw data to insightsDemonstrated statistics and data analytics experience working with a variety of data sources and large amounts of dataKnowledges in Natural Language Processing using up to dated methodologies and technologiesProved skills in programming or scripting (Python is a plus)Good knowledge in data storage using SQL based and NOSQL databasesKnowhow and experiences in Data Integration and ETL design and implementation (KNIME is a plus)Knowledges in GDPR and Data Anonymization is a plusPosition requires hands-on person with analytical and computer skillsComplex problem-solving skills and ability to think abstractly and work independentlyKnowledge on Agile methodologies (Scrum or similar)Mother tongue Italian. English proficiency level. Knowledge of German is a plus YOUR FIRST 3/6 MONTHS AT SANDSIV Be familiar with sandsiv+ Solution from technical and business prospective.Consolidate the sandsiv+ Demo environment from collecting sources to the data visualization from a technical implementation to a business story telling.Be familiar and learn Python (NLP Machine Learning etc. libraries) D3 and KNIMEAnd many more …

Job Description lm group is looking for a Data Analyst for its Growth and Pricing department based in Chiasso. She/he will join the Data & Reporting team and be responsible for providing quantitative input and reports to back up business decisions. The candidate will be known for quantitative approach and innovation spirit, rigorous testing, measurement and iteration to continuously improve results. Key Responsibilities Data extraction, analysis and reporting, in order to drive performance insights and support business decisions Performing analysis of all ancillaries products with the aim of providing reports and summaries to direct manager, the rest of the team and other functions Data model creation and use of data exploration and reporting tools to create report, analysis and control of processes Identify, analyze, and interpret trends or patterns in complex data sets with the goal of optimising business performance Skills and Experience Essential Degree in Engineer/Mathematics/Statistics/Economics or similar fields 2-3 years of experience with reporting packages, databases and programming Excellent knowledge of Excel Knowledge of MySql for data extraction Business English proficiency Desirable Any programming language will be considered a plus Significant working experience in a similar role in a similar context Any additional language will be considered a plus Abilities/qualities Meticulous person with detail oriented approach Strong internal / external communicator Proactive team player Self-motivated and problem solver Qualifications null Additional Information null

Job Description lm group is looking for a talented, energetic  Financial Analyst  for its Finance Analytics team based in Chiasso. Understanding business/economic/environmental drivers of current figures estimates versus Actual results, he/she will support the team in shaping deliverables aimed to give the most value-added output for the business. In a fast-paced environment, he/she will play an active role in estimating economic phenomena, increasing department efficiency and financial condition awareness Key Responsibilities Manage relationships with the business accountable, gathering information and requirements and support working on financial allocations and estimations accordingly Translate business requirements into written functional specifications, considering priorities, keeping synergies and cooperation as a key value and ensuring that key issues, risks and drivers are clear and understood Drive the relationship with the involved stakeholders, being able to understand their business needs and ensuring that deliverables are correct and connected to them Write documentation of existing activities, processes and projects Work with the IT department during the development cycle in order to be sure that all operational and business requirements are met. Maintain standard structured reports and produce ad hoc analysis Qualifications Skills and Experience Essential Bachelor’s degree in Management Engineering, Business Administration, Mathematics, Statistics or similar fields 3+ years of relevant experience in a strongly analytical role English  proficiency, spoken and written Advanced working knowledge of  Excel Desirable Knowledge of  SQL Abilities/qualities Strong analytical and quantitative skills, with good attention to detail whilst still seeing the “big picture” Self-starter, always looking for improvement opportunities and proactive player Ability to set priorities and manage tasks accordingly, creating clarity and focus, supporting deliverables with documentation and reference guides Strong interpersonal skills, oral and written, and ability to partner with stakeholders Willingness to exceed expectations and to perform under pressure Additional Information null

Job Description lm group is looking for a Marketing and Media Data Analyst for its Marketing & Media Analytics team within Business Intelligence department based in Chiasso. The candidate will act within Media and Marketing perimeters supporting, inspiring and delivering data integrations, data models, analysis, reports and dashboards to help the business look data in a comprehensive way, take proper decisions and steer directions of the units Key Responsibilities Understand stakeholders business areas and take ownership of their data needs - be able to influence and partner with them leveraging on an in-depth cross-functional data knowledge Be able to perform and design ETL activities Be able to extract from data actionable insights presenting them in a valuable way to a wider audience Be able to build meaningful reports and dashboards to present and monitor business kpis Design and drive data integrations between internal and external data sources Skills and Experience Essential Bachelor or master degree in Statistics, Mathematics or Engineering At least 2 years of experience as an Analyst with similar responsibilities in a digital company Good knowledge in analytics and web analytics techniques, enabling to support the business, guiding company growth efforts and key business outcomes Good interpersonal and communication skills Good background in data visualisation tools Strong knowledge in SQL and SQL like languages Knowledge and application of an analytical programming language (e.g: Python, R, ..) Fluent in English both written and verbal Good knowledge of Excel and G-Suite Desirable Knowledge of most common Media and Marketing tools (e.g.: Google Analytics, Google Ads, Google Ad Manager, Google Campaign Manager, ...) Knowledge of both buy and sell marketing principles, techniques and status of the arts within the industry Experience in Python programming Experience with TIBCO Spotfire Experience with HP Vertica Abilities/qualities Analytical and data driven mindset: base your decisions on facts rather than opinions Passionate about digital world, ambitious and motivated with a can-do attitude Open minded and proactiveness in problem solving Strong communication skills with willingness to challenge existing processes and applications Qualifications null Additional Information null