Analytics Engineer

Title - Analytics Engineer
Location - REMOTE in CANADA
Reason for opening - Backfill position
Portal  - 145586-1 Desired

Start Date:

12/3/2025 Request End Date: 3/8/2027 Pay Rate - $52

We are seeking a motivated Analytics Engineer (up to 3 years experience) to join our high-impact team. Experience working with sales, go-to-market, or marketing data is highly desirable.

Key Responsibilities

Strategic Data Foundation:
Assist in designing, building, and optimizing scalable data pipelines and architectures (leveraging HANA, Snowflake, and external data sources) to enable reliable, timely, and well-structured data for analytics, dashboards, and modeling.
Insight Acceleration:
Partner with analytics managers, data analysts, and data scientists to deliver insights that directly inform executive sales, planning, and go-to-market strategies.
Business Partnership:
Collaborate with business and strategy stakeholders to understand evolving requirements and help translate them into technical data solutions that support growth initiatives such as segmentation, customer insights, and new go-to-market approaches.
Efficiency and Automation:
Identify opportunities to automate manual or repetitive data processes, scaling analytics capabilities and freeing up analysts for more strategic work.
Data Quality and Reliability:
Support the integrity, consistency, and accuracy of data pipelines and models, contributing to business-critical Tableau dashboards, Excel workbooks, and data science models.
Innovation and Best Practices:
Contribute to prototyping new data solutions, experiment with emerging tools and techniques (e.g., AI, Python, cloud data migration), and adopt data engineering best practices.
Generative AI Integration:
Work with data scientists and AI teams to explore, prototype, and support the integration of generative AI solutions (such as large language models, text summarization, or automated insight generation) into analytics workflows.
Cross-Functional Enablement:
Build relationships across Cisco s data stewards, architects, and business teams to Client new data sources and support data integration and company-wide data initiatives.
Collaboration and Learning:
Share knowledge, collaborate with peers, and help foster a culture of continuous learning and improvement across the analytics engineering function.

Qualifications

Bachelor s degree in Computer Science, Engineering, Information Systems, or a related quantitative field
1-3 years of experience as a Data Engineer, Analytics Engineer, or similar role
Hands-on experience designing or supporting scalable data architectures for sales, marketing, or business analytics
Proficiency in SQL and experience with relational database technologies (SAP HANA, Snowflake, etc.)

Experience with Python (or similar) for data manipulation, transformation, and automation
Exposure to generative AI models and tools (e.g., OpenAI, Azure AI, Google Vertex AI) for data enrichment, insight generation, or workflow automation
Experience collaborating with AI or data science teams to implement generative AI or advanced analytics solutions
Experience integrating and managing large or complex datasets from internal and external sources
Ability to work with business stakeholders to translate requirements into actionable data solutions
Interest in improving efficiency through automation and process innovation
Familiarity with data visualization and reporting tools (Tableau, Excel), and data pipeline tools (Tableau Prep, Alteryx, etc.)
Agile, creative, and business-oriented mindset; comfortable operating in a fast-paced, dynamic environment

Preferred/ Nice-to-Have

Experience supporting projects such as segmentation, unified customer definitions, or go-to-market strategy development

Experience with cloud data migration and/or AI/ML solution prototyping
Knowledge of prompt engineering, fine-tuning, or deploying generative AI models in production
Ability to communicate technical concepts to business stakeholders and influence data-driven decisions

Experience with Anaplan for planning or data modeling (nice-to-have)
Interest or experience in exploring AI agents and agentic AI (as this is a new and evolving field)