Analytics Consultant
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Analytics Consultant (Data Analytics): Leading the delivery of data-driven insights and scalable analytics solutions for clients and internal stakeholders with an accent on solution design through execution and delivery. Focus on translating complex business problems into structured analytical approaches and scalable solutions.
Location: 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.
Company
βs SaaS platform connects organizations with qualified suppliers, contractors, and vendors to improve supply chain risk and compliance.
What you will do
- Lead client-facing analytics engagements, including discovery, scoping, solution design, and delivery.
- Architect, develop, and maintain complex dashboards, data models, and analytical solutions using BI tools and SQL-based environments.
- Proactively identify data quality, integrity, and structural issues; recommend and implement improvements.
- Translate complex datasets into compelling narratives that drive actionable business decisions.
- Mentor junior team members and elevate overall team analytics maturity.
Requirements
- 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).
- 5β8 years of experience in analytics, business intelligence, or data-related roles.
- Prior experience in a client-facing or consulting capacity is strongly preferred.
Culture & Benefits
- Foster sustainable growth for businesses and their supply chains globally.
- Work within βs modern data ecosystem (Snowflake, AWS, Power BI, Sisense).
- Partner cross-functionally with Professional Services, Product, Engineering, and Customer teams.
- Contribute to the evolution of βs analytics ecosystem through innovation and automation.
- Support organizational data literacy and promote a data-driven culture.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β