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Data Engineer (SQL/Python/Tableau)

Experis AG

Posted on Jan 12, 2022 by Experis AG

Zürich, Switzerland
Immediate Start
Annual Salary

Data Engineer (SQL/Python/Tableau)

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services ranges from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing, and placing specialised professional talent.

Key Responsibilities

  • Data gathering and transformation to provide input for dashboards, advanced analytics models and marketing automation tools.
  • Defining, building, and operationalizing:
    • Advanced analytics models for marketing and sales purposes (segmentation, propensity models: cross-sell, up-sell, churn prevention, etc, and next best action/offer recommender)
    • Ad hoc reports and automatically updated dashboards that provides actionable insights with marketing and sales as the focus

Challenges Contractor will be facing in this role:

  • We work in a complex environment across various platforms and stakeholders, so there will be challenges along the way.
  • Our projects are subject to a number of processes and protocols that need to be properly addressed.
  • Our goal is to always deliver, even though processes may take more time and patience than initially thought.
  • Creativity is a key strength to overcome difficulties, and therefore we seek a candidate that is happy to find solutions to potential problems

Essentials Skills and Qualifications:

  1. Strong data science background. MS degree in Mathematics, Computer Science, Data Science, Data Mining or another quantitative field. PhD preferred.
  2. Minimum of 5+ years of industry experience
  3. 3+ years defining, building and operationalizing machine learning and deep learning models
  4. 3+ years in working with large data sets and analysing data to identify patterns and transforming data for several purposes (dashboards, advanced analytics models, marketing automation tools)
  5. Experience of designing dashboards, reports, scorecards in as per user requirements
  6. Experience operating data warehouse and Big Data Lakes environments
  7. Advanced knowledge and hands on experience in SQL, Python, Hadoop, Apache Spark, Tableau
  8. Should have very good technical expertise and strong business skills
  9. Effective analytical, troubleshooting and problem-solving skills
  10. Eager to learn and to extend skill set
  11. Demonstrated ability to work collaboratively as part of a team
  12. Open minded and happy to adapt to rapidly changing priorities
  13. Excellent interpersonal and communication skills
  14. Fluency in English (oral/written)

Desired Skills and Qualifications:

  1. PhD preferred
  2. Experience in Dataiku as a Data Science user

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Danny Besse.

Reference: 1459846946

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