Data Engineer - Analytics & Insights, Global Planning and Analytics
HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. HAVI’s supply chain services are complemented by the customer engagement services offered by our affiliated company The Marketing Store. For more information, please visit HAVI.com.
A talented and motivated individual who will be part of a group of skilled analytic resources to architect, design, implement, enhance, and maintain highly scalable, available, secure, and elastic cloud-ready data solutions based on industry best practices using cutting-edge technologies for our Data Science team.
This person will become an expert in our data domains, act as a trusted partner and advisor to solutions architects and data scientists, and become a crucial part of the analytics solution lifecycle – from prototype to production and operations of our data science and advanced analytics solutions in areas such as promotions, supply and demand planning, item/menu level analytics, supply chain simulations, and optimization, competitive benchmarking, and root cause analysis. Ensuring the high quality of the deliverables will be an essential part of this role.
Be current on trends and developments in the market with an eye on bringing new advancements into our data solutions.
This role will be part of the Analytics and Insights team in the Global Planning and Analytics group.
- Data Management, Analytics and Business Insights, Global Planning and Analytics
- Data Science, Analytics and Business Insights, Global Planning and Analytics
- Decision Science, Analytics and Business Insights, Global Planning and Analytics
- Supply Chain Technology
- Product Management, Global Planning and Analytics
- Global Supply Chain users
Qualifications
Bachelor’s degree in computer science, data management, information systems, information science or a related field; advanced degree in computer science, data management, information systems, information science or a related field preferred
The ideal candidate will have a combination of IT skills, data governance skills, analytics skills, and supply chain knowledge with a technical or computer science degree.
Knowledge and Experience
- 3+ years of work experience in data management and engineering disciplines, including data pipelines' design, integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
- 3+ years of work experience working in cross-functional teams and collaborating with business stakeholders in support of data management and analytics initiatives
- Strong experience with tools for Object-oriented/object function scripting using languages such as Python, Java, C++, Scala, and R.
- Strong experience in Python and Databricks
- Strong experience with database programming languages for relational databases and non-relational databases
- Experience working within the Azure ecosystem
Skills and Leadership Behaviors
Direction
- Self-starter, with flexibility and patience in a fluid and fast-paced environment
- Ability to synthesize complex information and communicate results effectively
Drive
- Sets high standards, clear goals & focus on problem-solving
- Challenges the status quo to enhance solution quality
- Passionate about data engineering and data solutions
- Commitment to continuous learning and development
Execution
- Designs and develops high-quality data deliverables working with complex and large volumes of data
- Ability to thrive in a changing environment and deal with ambiguity
Influence
- Able to quickly identify potential roadblocks and devise ways to address challenges
- Leverages from and collaborates with all key stakeholders to drive efficiency and effectiveness
Innovation
- Encourages others to challenge the status quo, thinks out of the box
- Brings new perspectives on data solutions
Relationship & people leadership
- Able positively impact the performance of team members
- Builds trust and credibility with analytics colleagues and other supply chain teams
Responsibilities
- Responsible for working with the data management, data science, decision science, and technology teams to solve supply chain problems such as demand and supply planning, replenishment, pricing, and optimization
- Develop/refine the data requirements, design/develop data deliverables, and optimize data pipelines in non-production and production environments
- Design, build, and manage/monitor data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business
- Integrate analytics and data science output into business processes and workflows
- Build and optimize data pipelines, pipeline architectures, and integrated datasets. These should include ETL/ELT, data replication/CI-CD, API design, and access
- Work with and optimize existing ETL processes and data integration and preparation flows and help move them to production
- Work with popular data discovery, analytics, and BI tools such as Tableau and Power BI for semantic-layer data discovery
- Adept in agile methodologies and capable of applying DevOps and DataOps principles to data pipelines to improve communication, integration, reuse, and automation of data flows between data managers and data consumers across the organization
Minimum Staring Salary $95,000
Are you a good match for this Job?
Please submit an online application with your salary expectations and an indication of your earliest starting date.