Data Analytics Support Specialist
hace 3 semanas
Transforming the Future with Data Science
Job Description
We are seeking a highly skilled Data Analytics Support Specialist to join our team at Altair Engineering. As a key member of our customer success team, you will play a critical role in delivering value and business success in a complex enterprise application environment.
Your primary goal will be to establish a reliable communication channel with our clients, prospects, and partners, helping them with all kinds of technical inquiries. You will also be responsible for deploying and using our data science applications in a data-driven application stack, including deployment, building, and maintenance operations in a diverse enterprise environment.
You will work closely with our clients to understand usage and configuration of Altair's data analytics applications, identify issues and requirements, and achieve the right level of connectivity, scalability, and resilience to successfully drive use cases and deliver business value.
You will have the opportunity to work in a rapidly evolving field, providing the chance to learn about new fascinating techniques in data science, predictive analytics, cloud computing, and enterprise software.
Key Responsibilities:
- Customer technical support – engage with customers, prospects, and Altair field teams, engineering, and product management to identify and resolve issues in a timely manner.
- Drive customer success – work closely with customers, prospects, and partners to build state-of-the-art application deployments using software from the Altair portfolio in a complex enterprise environment.
- Communicate Altair – manage relationships between Altair and our clients to provide a reliable communication channel for all kinds of technical inquiries.
- Work with the team – use your experience and application insight to support Altair teams in various scenarios.
Requirements:
- Mainframe experience, especially with SAS applications stack, is highly welcome.
- Analytics or IT management background.
- Experience in using and administering data science tools (i.e., RapidMiner, SAS, SPSS, R, Python) and/or enterprise applications stacks (AWS, Azure, ActiveDirectory, BI applications, RDBMS such as SQLServer, Oracle, Snowflake, MySQL, DB2, PostgreSQL, etc).
- Willingness to learn about new technologies in the field of data science and enterprise applications, both cloud-based and on-premise.
- Knowledge of standard tools for system administration in Windows and Linux environments.
- Strong communication skills and commitment to work with clients via ticket systems, phone calls, and web meetings.
- Interest in software development and basic knowledge of scripting and programming languages like SAS, Python, and Java.
- English language fluency – another language (German, Spanish, French) is not essential but is a plus.
What We Offer:
- Competitive Salary.
- Flexible Work Hours.
- 75% Vacation Prime.
- 1 Month Christmas Bonus.
- 12 Days of Vacation.
- SGMM.
- Life Insurance.
- Dental Insurance.
- Saving Fund.
- Pantry Voucher.
- Work Life Balance.
- Employee Stock Purchase Program.
- Equal Employee Opportunity.
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