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Data & Analytics Specialist

Refreshed: Over a month ago

Key information

Type: Analytics
Level: senior

formal aspects

Contract type: employment contract

projects

Type of projects:own product
Used Technologies/Tools:
Key: Microsoft SQL Server, Power BI, SQL Server

work

Flexible working hours: Yes

Required technologies /tools

Expected:
Microsoft SQL Server
Power BI
SQL Server

other requirements

Experience: 5+
Foreign language: English
Level:
Zastosowanie: reading documentation, kontakt z klientem, zespół międzynarodowy

Benefity dla pracowników

Health
  • Private medical health
  • Life and health insurance policy
  • Additional recovery days
Physical activity
  • Multisport
  • UBS sport clubs (football, basketball, tennis, Go-karts, shooting, racket sports and more)
Well-being
  • Various well-being sessions
  • Free premium access to a mindfulness platform
  • Integration events
Organization of time and place of work
  • Hybrid ways of working
  • Equal pay for equal work with no gender salary gap
  • Work permit support for foreign applicants
  • Contract of employment with no probation period
  • Modern eco-friendly offices in well-communicated city centers
Development budget
  • Internal and external trainings & tech conferences
  • UBS development programs dedicated for engineers
  • Learning platforms
Additional benefits
  • Access to the benefit cafeteria platform
  • Referral program with attractive bonus award
  • Additional volunteering days
  • Employee Stock Purchase Program
  • Social fund
  • Kudos recognition program
Your role:
Are you passionate about data and its quality? Do you enjoy problem solving in elegant ways? Do you enjoy the challenge of not only identifying problems, but diving deeper to understand what causes them? Do you question things that don’t look right? Do you enjoy working with stakeholder across all divisions and management levels?
In this role you will:

• Analyse large datasets for integrity, accuracy, and quality across the IT Asset Inventory Management (ITAIM) product family
• Leverage statistical tools, programming languages, and visualization tools and apply advanced analytical methods such as machine learning and artificial intelligence
• Drive data quality assurance for UBS’s Configuration Management Database (CMD), incl. managing data quality rules
• Monitor data across the product family for any errors, ensuring they’re corrected where needed
• Manage and being an advocate for the ITAIM data model
• Create and manage reports and dashboards consisting of data analysis and data visualizations
• Understand, represent, and advocate for client/user data needs for the ITAIM product family
• Establish relationships with stakeholders to understand the specific operational and analytical needs of the organization, provide advice on advanced analytical approaches for addressing these needs, and identify and capture the required data sources

Your Team: You will be part of the IT Asset Inventory Management (ITAIM) team working closely with specialists across IT divisions, Infrastructure, Technology Operations Center and other Group Technology functions. ITAIM is a foundational building block at the heart of UBS's Technology – facilitating all processes from strategy capture, to IT portfolio management - all the way to managing configuration items.
ITAIM is a global team with representation in Switzerland, UK, Poland, India, and US. Your expertise: • 5+ years of experience in data engineering and data modelling using tools like Enterprise Architect
• 5+ years in data analysis, defining queries, and visualizing results using data sources like databases (SQL Server, CosmosDB, etc.), flat files, etc. using tools like PowerBI or SQL Server Management Studio
• experience in ServiceNow and the Common Service Data Model (CSDM)
• a track record of developing trust relationships and buy-in across organisational boundaries
• a strong thinker that sees problems around the corner and takes ownership to resolve them
• an excellent communicator who is adept in communicating with both technical and non-technical audiences
• comfortable with working in cross-functional global teams to effect change

read more»
#SQL Server#Power BI
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