Job Description

ANALYTICS EXPERT QLIKVIEW - ZURICH SWITZERLAND - IXV2016017
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  • PRESTIGIOUS POSITION WITHIN MULTINATIONAL INDUSTRY LEADER
  • ATTRACTIVE REMUNERATION
  • EUROPEAN UNION (EU) WORK RIGHTS ONLY

 
SWITZERLAND > Z├╝rich

YOU Global - Ref IXV2016017
 

A need has arisen for a senior position as Analytics Expert QlikView within a multinational manufacturer. You will be based in Zurich, Switzerland.

 

DUTIES

  • Help develop and communicate strategic vision, scope and mission with regards to data analytics by collaborating with others, and gathering user cases and requirements.
  • Identify innovative approaches and solutions involving big data, predictive analytics, etc, that help fulfill defined objectives.
  • Manage a portfolio of reporting and analytics applications.
  • Be responsible for the architecture and reliable operation of processes related to tools and services provided (this excludes data logistics and infrastructure which sits within IT).
  • Coaches analytics experts in delivering both:
    • Best-in-class reporting and analysis tools for cross-functional matters, to support senior management in decision making.
    • Data models and data discovery tools and approaches.
  • Partner with IT regarding the implementation of data logistics systems, transforming data by applying relevant business logic and designing user-friendly front-ends.
  • Bridge the gap between Finance and IT, to implement state-of-the-art analytics solutions, anticipating business user needs.
  • Foster an analytical mindset across the organisation, by introducing best practices and related training.
  • Role modeling in Health & Safety (H&S) and Diversity & Inclusion (D&I).
  • Promote H&S and D&I actions / behaviors.
  • Foster integration across programs, activities and documents.
  • Development & Design
    • Manage projects for larger reporting and analytics-related endeavours.
    • Identify innovative solutions for new business problems, including advanced analytics such as predictive methods and machine learning algorithms and developing prototypes.
    • Coordinate the development of Extract-Transform-Load (ETL) processes and data modelling (that build the fundamentals for analytics tools).
    • Design reports, dashboards and interactive analysis GUI’s to meet customer needs.
  • Operations
    • Coordinate reliable and sustainable operation of ETL processes and data models.
    • Proactively manage the portfolio of reporting and analytics application.
    • Perform risk management for all analytics processes and related infrastructure.
  • Support & Coaching
    • Coach and mentor analytics experts with regards to technical implementation and data visualisation.
    • Provide 3rd level support for analytics tools.
    • Train end users and developers.
    • Assess the quality of analytics solutions created by others internally, or external partners (“Health Check”).
  • Innovation and best practices.
    • Keep up-to-date with latest developments in analytics solutions.
    • Drive the development and implementation of best practices in analytics
    • Seek out new business challenges and actively propose solutions.

 

MUST HAVES

  • Existing European Union (EU) work rights.
  • English language fluency.
  • Wilingness to travel up to around 10% of the time.
  • At least a Masters degree in either a quantitative or IT-related discipline (eg. engineering, computer science, mathematics), or in business / economics with a strong affinity with quantitative methods.
  • 7+ years experience in a technical role related to analytics.
  • Advanced experience with QlikView.
  • Proficient with charting libraries for QlikView extensions.
  • Advanced Project Management experience, incuding leading teams of 5+ members.
  • Project experience with various full life-cycle Business Intelligence (BI) implementations.
  • Advanced experience with front-end design, including application of best practice chart and dashboard design principles.
  • Familiar with visualisation tools and the principles behind visual data encoding.
  • Proficient with Microsoft Excel.
  • Conversant with data related scripting languages, eg. PHP, R or Python.
  • Conversant with query languages / data transformation (eg. SQL).
  • Conversant with JavaScript essentials.
  • Experienced with appropriate utilisation of BI tools and technologies (Tableau, BO, Cognos, etc).
  • Basic knowledge of SAP ERP.
  • Basic knowledge of SAP BW.
  • Basic knowledge of SAP HANA.
  • Basic knowledge of Oracle's JD Edwards products.
  • Familiarity with statistical tests, distributions, maximum likelihood estimations, etc, and an understanding of when a specific technique is or is not a valid approach.
  • Knowledge of the most common machine learning algorithms, the pros and cons behind them and when to apply them.
  • Ability to translate problems into mathematical expressions and ability to solve equations.
  • A solid grasp of mathematical concepts such as multivariable calculus and linear algebra.
  • Knowledge of IT processes, data flows, storage and networks.
  • Advanced understanding of entity relation models and relational databases; leverages start and snowflake schemes; effective manipulation of imperfect data.
  • Able to utilise exploratory and explanatory data analysis methods, and communicate findings in either a technical and non-technical way.
  • Can explain technical matters to business by ignoring design details and by putting it into business context.
  • Experienced with mentoring and coaching others.
  • Good interpersonal skills when communicating with any and all levels within an organisation.

 

NICE TO HAVES (NOT ESSENTIAL)

  • Additional certifications or qualifications relevant to the position.
  • Experienced with Requirements Engineering (RE).
  • Experience within an industrial or manufacturing environment.
  • Multinational experience, perhaps within a multinational organisation, or from being located yourself in various countries.
  • German language skills.
  • French language skills.

 

REMUNERATION

  • Attractive remuneraticon package commensurate with qualifications and experience.

 

 

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