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Dataciders GmbH

Senior Data & Analytics Consultant

Dataciders GmbH

. Develop modern analytics solutions with clients based on SAS Viya, Microsoft Fabric, Databricks, Snowflake, and comparable technologies .

Posted 11/4/2026full-timeRemote • GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing modern analytics solutions using SAS Viya, Databricks, and Snowflake, while effectively collaborating with clients to enhance data platforms and integration solutions. Proficient in SQL and data modeling, with strong analytical and consulting skills to drive initiatives and deliver impactful reporting and AI applications.

Highest-signal resume keywords
SAS ViyaDatabricksSnowflakeSQLData Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalyticsData IntegrationReporting ApplicationsAI ApplicationsArchitecture Enhancement
Soft Skills
Strong Analytical SkillsConsulting SkillsCommunication SkillsSelf-MotivatedTeam Spirit
Tools & Technologies
Microsoft FabricSASDatabricksSnowflake
Industry Keywords
Data PlatformsData ArchitectureClient WorkshopsPresales Activities

Tech Stack

Tools & technologies
SnowflakeSQL

About the role

Key responsibilities & impact
  • Develop modern analytics solutions with clients based on SAS Viya, Microsoft Fabric, Databricks, Snowflake, and comparable technologies
  • Analyze and enhance existing architectures, processes, and applications
  • Develop viable target-state visions and jointly define priorities with clients
  • Design and implement data platforms and data integration solutions
  • Develop and implement reporting, analytics, and AI applications
  • Collaborate with business units, IT leaders, and project teams
  • Take ownership and independently drive initiatives forward
  • Contribute expertise to client workshops, presales activities, and the development of new solutions

Requirements

What you’ll need
  • At least 2 years of practical experience in data and analytics
  • Experience with SAS and, ideally, at least one modern data platform such as Databricks, Snowflake, or Microsoft Fabric
  • Strong analytical skills
  • Ideally, a background in computer science, mathematics, or another STEM discipline
  • Proficiency in SQL and data modeling
  • Strong consulting and communication skills, along with a passion for client interaction
  • Excellent German and English language skills
  • Self-motivated, structured approach to work and a strong team spirit

Benefits

Comp & perks
  • Individually tailored onboarding, including a personal mentor
  • Flexible working hours to support a healthy work-life balance
  • Hybrid working
  • Subsidy for public transportation passes
  • Company bike program to promote a healthy lifestyle and environmentally friendly mobility
  • Occupational pension scheme with an employer contribution
  • Ongoing professional development opportunities
  • Company culture that encourages the exchange of ideas and expertise