Junior Data Analyst

Job Title: Analytics/Data Engineer

Key Responsibilities

Build Scalable Data Foundations

Design, develop, and optimize scalable data pipelines and architectures using tools like HANA, Snowflake, and external data sources to deliver clean, timely, and structured data for dashboards, analytics, and modeling.

Accelerate Business Insights

Collaborate with data analysts, data scientists, and analytics managers to deliver insights that drive executive decision-making around sales, planning, and go-to-market strategies.

Partner with the Business

Work closely with strategy and business teams to gather requirements and develop data solutions that support key growth initiatives such as customer segmentation, insights, and GTM strategies.

Drive Automation & Efficiency

Identify and implement opportunities to automate repetitive data workflows, boosting efficiency and allowing analytics teams to focus on strategic analysis.

Ensure Data Quality & Reliability

Maintain the integrity, accuracy, and consistency of data used in critical Tableau dashboards, Excel reports, and data science models.

Innovate & Explore Emerging Tools

Prototype new data solutions and experiment with emerging technologies such as AI, Python, and cloud-based tools. Champion data engineering best practices.

Integrate Generative AI

Partner with AI teams to explore and prototype generative AI solutions—including large language models, text summarization, and automated insight generation—within analytics workflows.

Support Cross-Functional Data Collaboration

Build strong relationships with data stewards, architects, and business teams to identify new data sources and support enterprise-wide data initiatives.

Foster Knowledge Sharing & Growth

Contribute to a culture of learning and collaboration by sharing expertise, mentoring peers, and continuously improving analytics engineering processes.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field
• 1–3 years of experience in data engineering, analytics engineering, or similar roles
• Experience designing or supporting scalable data solutions for sales, marketing, or business analytics
• Strong SQL skills and familiarity with technologies such as SAP HANA and Snowflake
• Proficient in Python (or similar) for data transformation, automation, and scripting
• Exposure to generative AI tools (e.g., OpenAI, Azure AI, Google Vertex AI) for insight generation or workflow enhancement
• Experience collaborating with AI or data science teams to implement advanced analytics or AI solutions
• Skilled in integrating large, complex datasets from diverse sources
• Ability to translate business needs into effective data solutions
• Strong interest in automation, process improvement, and innovation
• Familiarity with data visualization and pipeline tools like Tableau, Tableau Prep, Alteryx, and Excel
• Agile mindset with the ability to thrive in a fast-paced, dynamic environment

Preferred Qualifications

• Experience with projects involving customer segmentation, GTM strategy, or unified customer data
• Knowledge of cloud data migration and AI/ML prototyping
• Understanding of prompt engineering or deploying generative AI models in production
• Strong communication skills and ability to influence data-driven business decisions
• Familiarity with Anaplan for planning or data modeling (nice to have)
• Interest in emerging technologies, especially agentic AI and AI-powered agents