The role
The ideal Data Microstrategy Engineer for Valtech is passionate about the experience revolution. This innovative individual has strong quantitative backgrounds and analytical discipline. experience, looks to continually learn, and enjoys sharing expertise. Strong verbal and written communication are a must. Experience working in an Agile Scrum development environment, or in a consulting capacity is a plus.
Role responsibilities
- Analyze a collection of raw data sets to create a meaningful impact on large enterprise clients while maintaining a high degree of scientific rigor and discipline.
- Engineer data pipelines and products to help stakeholders make and execute data-driven decisions.
- Communicate analytical findings in an intuitive and visually compelling way.
- Creating highly visual and interactive dashboards via Microstrategy, Tableau, Power BI, or custom web applications
- Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
- Building and tracking project timelines, dependences, and risks
- Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions
Minimum qualifications
We want all new hires to succeed in their roles at Valtech. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all minimum qualifications. If you do not meet all of the preferred qualifications, we still encourage you to apply.
- Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.
- Experience with the Microstrategy developer tool (as opposed to the web editor or workstation)
- Ability to use the Microstrategy object manager to migrate objects between dev, UAT, prod environments
- Understanding of the metadata architecture in MicroStrategy
- Ability to create batch job scripts and monitor cube performance
- Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R.
Preferred qualifications
- Proficiency in visualization/reporting tools such as Tableau and Power BI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
- Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
- Proficiency with cloud architecture components (AWS, Azure, Google)
- Proficiency with data pipeline software such as Airflow, Luigi, or Prefect
- Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
- Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems
- Experience leading and managing technical data/analytics/machine learning projects.
Your process
After submitting your application, you will hear from a member of our Talent Acquisition team if your skills and experience match the position. Be mindful of recruitment fraud by only replying and engaging with email contacts that end with the '@valtech.com' or ‘@kinandcarta.com’ domain.
We strive to create an inclusive environment for all candidates. If you have any specific requirements or need reasonable adjustments to participate in the application or interview process, please let us know at XXX@valtech.com.