Live opening · Posted 9 hours ago
At a glance
The key details from the original listing.
Your early-applicant advantage
Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
Be part of AKUREY!
We are looking for a Business Data Analyst (AI-Assisted Analytics) to transform data into actionable business insights and enable smarter, AI-assisted decision-making. You will work with SQL, Python, BI tools, and AI-assisted analytics platforms to build reliable analytics, semantic layers, dashboards, and data solutions that empower business stakeholders.
WHAT YOU'LL DO:
Design, develop, and deliver analytics and reporting for business partners, building self-service capabilities through AI-assisted analytics platforms.
Configure, govern, and optimize semantic layers and AI analytics tools (e.g., PromptQL, Omni) so partners get reliable, trustworthy answers.
Partner with the business to craft the right solution, balancing immediate and long-term needs against effort and impact.
Develop strong collaborative relationships with key business stakeholders.
Guide partner roadmap plans and investments through opportunity sizing and decision support.
Be part of a collaborative team with high visibility across the organization.
WHAT WE'RE LOOKING FOR:
This person must reside in LATAM.
English level C1.
3+ years in an analytics role.
Degree in a business or quantitative field (e.g., business, economics, mathematics, statistics, computer science).
Strong experience partnering with product managers and/or business stakeholders on data-driven decision-making.
Communication skills that simplify complex problems for cross-functional partners.
Strong SQL and Python skills.
Hands-on experience with AI-assisted or semantic-layer analytics platforms (e.g., PromptQL, Omni, or similar).
Comfort working alongside AI agents: guiding, validating, and getting value from their outputs.
Experience with BI and data visualization tools (e.g., Looker) and dashboard best practices.
Able to build, maintain, and optimize data pipelines using best practices.
Prioritization skills with business impact in mind, and the ability to be pragmatic where appropriate.
Intellectual curiosity, a fast learner, and skilled at asking the right questions.
Passion for technology and eagerness to adopt new tools and technical concepts.
Experience working autonomously and taking ownership of projects.
WHAT WOULD BE A PLUS?
Retail or e-commerce background, especially with merchandising and customer metrics.
Work arrangement
Yes
More openings worth a look
Recently tracked roles with full details and direct application links.