What the role involves
Managing master data, including creation, updates, and deletion.
Managing users and user roles.
Provide quality assurance of imported data, working with quality assurance analysts if necessary.
Commissioning and decommissioning of data sets.
Processing confidential data and information according to guidelines.
Helping develop reports and analyses.
Managing and designing the reporting environment, including data sources, security, and metadata.
Supporting the data warehouse in identifying and revising reporting requirements.
Supporting initiatives for data integrity and normalization.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Evaluating changes and updates to source production systems.
Training end-users on new reports and dashboards.
Providing technical expertise in data storage structures, data mining, and data cleansing.
What they ask for
About Explorex
Explorex is building the operating system for dining — powering both restaurants and the end consumer experience through a tightly integrated ecosystem. While most companies in the space focus on software for restaurants or discovery for diners, Explorex connects both sides of the equation. Our platform combines a full-stack restaurant OS (Bridge) with a consumer layer (Elite), enabling seamless, real-time dining experiences — from discovering a place, to ordering, to paying, all without friction. At the core of this is Elite — our consumer app that is redefining how people dine out. Diners can see live table availability, access dynamic menus, place orders, and self-checkout instantly without waiting for staff. This removes the biggest friction in dining — interruptions — and turns going out into a smooth, uninterrupted experience. What makes Explorex fundamentally different is the data layer. Unlike delivery platforms that only see orders, we capture real-world, in-venue behavior — what people order, how long they stay, how groups behave, how menus perform, and how experiences impact spending. We are now building Elara, an AI-powered dining concierge that uses this data to guide users to the best possible experience in real time — factoring in intent, context, weather, vibe, availability, and historical behavior. This allows us to move beyond discovery into decision-making, becoming the intelligence layer for offline commerce. For restaurants, this translates into higher revenue through better table utilization, increased average order value, and direct access to high-intent consumers. For diners, it means a faster, more personalized, and significantly better dining experience. Explorex is not a SaaS tool — it is the infrastructure layer for offline dining, with AI and consumer experience at its core.
Full Explorex profile