Data Informatics Manager
Job Description:
OVERVIEW Today, BlackBerry is a transformed company. We're no longer about the smartphone, what we once did for smartphones is what we're now doing for Enterprise of Things (EoT) - envisioning, enabling and securing new forms of communication that are connecting the business world in extraordinary new ways. We have the most complete and advanced end-to-end solutions to enable EoT, and our ideas lead the way in the hottest markets like cybersecurity, SaaS, neural networks and autonomous vehicles. RESPONSIBILITIES Reporting to the Director Business Intelligence and Analytics, the Data Informatics Manager is responsible for developing sustainable datasets and reporting assets for the Sales Operations Organization. Key responsibilities include:
Designing, developing, delivering and maintaining a sustainable data architecture and associated ETL processes. Identifying common reporting elements and maintaining governed datasets and assets for consumption by other team members Effectively leveraging data to generate new insights, automating manual processes, and driving operational process improvement Coordinating with peers and leadership to prioritize requirements and development activities Utilizing past experience and knowledge to recommend appropriate business process solutions to new business requirements. Participating in the development of data strategies and vendor evaluations associated with core technologies used for data, analytics, reporting, data science, artificial intelligence, machine learning, and all related ecosystems Striving for best practices, agility and strong user adoption ESSENTIAL SKILLS AND QUALIFICATIONS Minimum 7 years with a BS/BA or 5 years with a MS/MA 4-5 years implementing & managing BI platforms and related analysis tools with large complex data sets from various sources, ideally with a focus on Finance and Tech. Strong knowledge of relational Databases or Data warehouses Experience and understanding of a variety of analytical processes including but not limited to data governance, quality, and measurement Experience exploring, implementing, and deploying advanced capabilities, including cognitive technology, ML/AI, and RPA Confident with a scripting language (Python, R, SQL, etc.) to build data models and ETLs Ability to work cross-functionally, building and maintaining trust with internal stakeholders Hands on experience with Looker, Tableau, Power BI, and/or QlikView #LI-DA1
Salary Range:
$150K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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