HALO is seeking an Analytics Designer to lead the design and development of enterprise-level analytics solutions to shape the analytics layer that drives strategic decision-making and business growth by integrating data from various ERP, CRM, and other transactional systems.
Requirements
- Strong proficiency in tools such as Tableau, Power BI, Snowflake, and SQL.
- Experience designing and deploying AI/ML models in a business context.
- Deep understanding of data warehousing concepts and enterprise data architecture.
- Familiarity with ETL tools and orchestration frameworks (e.g., Apache Airflow, dbt).
- Experience with cloud platforms (AWS, Azure) and API integrations.
- Utilize platforms such as Tableau, Power BI, or equivalent to build scalable, enterprise-grade visualizations tailored to diverse stakeholder needs.
- Maintain clear documentation of analytics designs, data flows, and model assumptions to support transparency and scalability.
Responsibilities
- Collaborate with business leaders to develop analytics requirements and translate them into scalable reporting and dashboard solutions.
- Architect and implement descriptive, predictive, and prescriptive analytics using modern BI tools and statistical modeling techniques.
- Design and develop enterprise-wide reporting frameworks that unify data from multiple source systems.
- Evaluate and incorporate AI/ML models to enhance analytics capabilities, including forecasting, anomaly detection, and recommendation systems.
- Stay current with emerging AI/ML technologies and trends, and proactively recommend opportunities to apply them within the enterprise data ecosystem.
- Guide stakeholders on how AI/ML can be leveraged to grow the business, improve decision-making, and uncover hidden opportunities.
- Lead the development of intuitive, interactive visual analytics that enable users to explore data dynamically and uncover insights quickly.
Other
- 5+ years of experience in analytics design, business intelligence, or data science roles.
- Excellent communication and stakeholder management skills.
- Ability to translate complex data into intuitive visualizations and actionable insights.
- Knowledge of Agile methodologies and tools like Jira.
- Exposure to value mapping and ROI-driven analytics planning
