Analytics Consultant
If residing within commutable distance to one of our offices, a hybrid schedule would be required (3 days in office, 2 days work from home). Those outside of commutable distance may be considered on a remote basis.
SUMMARY:
Avetta’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors. We bring unmatched visibility to companies through cloud-based technology and human insights to improve supply chair risk and compliance. As a result, we foster sustainable growth for businesses and their supply chains globally. Our SaaS subscription-based software is used by 85k+ active customers in over 100 countries spanning across a wide range of industries.
Avetta’s Analytics Consultant is a client-facing individual contributor responsible for leading the delivery of high-impact, data-driven insights and scalable analytics solutions for Avetta clients and internal stakeholders.
This role operates with a high degree of autonomy, owning complex analytics engagements end-to-end—from discovery and solution design through execution and delivery. The Analytics Consultant partners cross-functionally with Professional Services, Product, Engineering, and Customer teams to influence strategy, shape data solutions, and drive measurable business outcomes.
Working within Avetta’s modern data ecosystem (Snowflake, AWS, Power BI, Sisense), this role not only delivers advanced analytics but also identifies opportunities to standardize and productize insights into scalable, repeatable solutions. The position requires strong technical expertise, strategic thinking, and executive-level communication skills.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Client Leadership & Strategic Engagement
- Lead client-facing analytics engagements, including discovery, scoping, solution design, and delivery.
- Act as a trusted advisor to clients and internal stakeholders, shaping data strategies and influencing decision-making.
- Translate complex business problems into structured analytical approaches and scalable solutions.
- Present insights and recommendations to senior stakeholders with clarity and business context.
- Ensure consistent delivery of high-quality work aligned to client expectations and business value.
Advanced Solution Design & Delivery
- Architect, develop, and maintain complex dashboards, data models, and analytical solutions using BI tools and SQL-based environments.
- Own project scope, timelines, and deliverables with minimal oversight.
- Lead solution design decisions, balancing scalability, performance, and usability.
- Drive adoption of best practices in analytics engineering, data modeling, and visualization.
- Identify and lead opportunities to productize recurring analytics solutions.
Data Quality, Governance & Innovation
- Proactively identify data quality, integrity, and structural issues; recommend and implement improvements.
- Partner with Engineering and Data teams to enhance data pipelines and infrastructure.
- Champion data governance, documentation, and standardization practices.
- Contribute to the evolution of Avetta’s analytics ecosystem through innovation and automation.
Data Storytelling & Business Impact
- Translate complex datasets into compelling narratives that drive actionable business decisions.
- Provide thought leadership in analytics, contributing to internal and external visibility of capabilities.
- Mentor junior team members and elevate overall team analytics maturity.
- Support organizational data literacy and promote a data-driven culture.
Operational Excellence & Continuous Improvement
- Translate complex datasets into compelling narratives that drive actionable business decisions.
- Provide thought leadership in analytics, contributing to internal and external visibility of capabilities.
- Mentor junior team members and elevate overall team analytics maturity.
- Support organizational data literacy and promote a data-driven culture.
PREFERRED QUALIFICATIONS:
- Advanced experience with BI and analytics tools (e.g., Power BI, Sisense, Business Objects).
- Strong proficiency in SQL and relational databases; experience with data modeling and ETL/ELT frameworks.
- Experience working within cloud data environments (e.g., Snowflake, AWS).
- Familiarity with CRM and business tools (e.g., Salesforce, Excel, PowerPoint).
- Strong understanding of statistical analysis, data interpretation, and performance optimization.
- Proven ability to lead complex projects and manage multiple priorities.
- Excellent problem-solving skills with the ability to navigate ambiguity and drive clarity.
- Strong communication and stakeholder management skills, including executive-level presentations.
IDEAL EDUCATION, TRAINING AND EXPERIENCE:
- Bachelor’s degree or higher in Math, Statistics, Business, Engineering, or related field.
- 5–8 years of experience in analytics, business intelligence, or data-related roles.
- Prior experience in a client-facing or consulting capacity is strongly preferred.
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