Lead the strategy and execution of a team of analytics engineers, driving the vision for analytics at Nourish.
Responsibilities
Lead and develop a team of Analytics Engineers: lead planning and prioritization; provide technical and analytical guidance; hold the bar on execution; help hire new team members.
Define and deliver the analytics roadmap across data modeling, business intelligence, and AI-enabled analytics. Establish technical standards that help the team scale.
Deliver high-impact insights: lead analyses of ambiguous problems; proactively identify opportunities; partner with leadership on solving complex and impactful analytics questions.
Build and maintain a robust data foundation: Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth.
Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions.
Lead engagement teams in data management, governance, and analytics to deliver business value for clients.
Compensation
The base salary for this job is $179,475.00 per year.
Responsibilities
Demonstrate in-depth data management and governance knowledge
Design methodology and execute activities to identify business needs
Utilize data strategy and governance to highlight client challenges
Gather AI Ready Data and leverage for client goals
Analyze data using Enterprise Intelligence
Requirements
Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Master’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Business or a related field
Lead design, build, and optimize production data pipelines on Databricks, while providing technical leadership and mentoring within the Data & Analytics team.
Responsibilities
Design and build robust, production-grade data pipelines on Databricks
Optimize platform performance and cost tuning compute, jobs and queries
Define and maintain consistent business metrics and a semantic layer
Integrate data from core business systems such as SAP S/4HANA and other sources
Set and uphold engineering standards across the team
Requirements
Relevant tertiary qualification in Computer Science, Information Systems, Engineering or a related field, or equivalent practical experience
Nice to have: Experience with SAP S/4HANA data sets
Nice to have: Experience with Fivetran SaaS connectors and HVR
Lead the design, development, and maintenance of production-grade data engineering and analytics services, driving enterprise-scale data solutions and AI-powered insights.
Responsibilities
Architect, deploy, and maintain production-grade Python microservices, serverless components, batch workers, web services, and shared core libraries
Engineer RESTful interfaces and application integrations for dataset capabilities
Construct backend infrastructure powering AI analytics solutions
Author clean, resilient codebase with comprehensive test suites and CI/CD pipelines
Safeguard system configuration and secrets
Requirements
Bachelor’s degree in Computer Science or related field
Build a career where values meet worldwide opportunity.
Responsibilities
Design, develop, implement, and support integrated software solutions for enterprise security systems.
Develop and maintain integrations between Video Management Systems (VMS), Access Control, Building Management Systems (BMS), and enterprise business applications.
Configure, troubleshoot, and optimize Genetec Security Center and associated integrations.
Develop scripts and applications to automate system administration, monitoring, reporting, and data processing.
Design, maintain, and optimize SQL and NoSQL databases.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
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