Help Hydrow stakeholders understand how our customers engage with the on-Rower experience on a day-to-day basis and provide deep dive analyses to drive product and content roadmaps. As an objective third party, this analyst will provide data inspired insights and help round out Hydrow’s data and analytics function. A successful candidate is one that can clearly understand business goals, shows resilience to data problems in a fast-paced environment, and can synthesize analyses into compelling narratives that drive decisions.
We are seeking a detail-oriented and technically skilled Reporting & Data Processing Specialist to join our internal operations team. This role is responsible for designing and maintaining reporting solutions, processing complex datasets, and supporting internal stakeholders in delivering high-quality insights to clients. The ideal candidate will have strong data handling skills, experience with reporting platforms and statistical software, and a collaborative mindset.
The Data Analyst will support client and operations with a variety of data and analytical services. The Data Analyst should be proficient in data cleansing, statistical analysis, data review and visualization. Candidate will need to be able to aggregate and interpret data sources to create meaningful and impactful visual representations. The candidate participates in client deliverables, ad hoc reporting, research, and resolves technical problems.
As a Senior Transportation Analyst, this role involves in-depth analysis of transportation data to identify trends and opportunities, while collaborating with team members to understand their analytics needs. Your responsibilities will include developing and maintaining key performance indicators (KPIs) to measure the effectiveness and efficiency of transportation operations. Strong skills in SQL, PowerBI, and Advanced Excel are needed.
Support the BI strategy for NIQ's European clients, enabling them to self-serve using our tools. Scope, build, and deliver solutions that meet their basic recurrent data needs. Leverage NIQ and third parties solutions to meet your value delivered target.
We are seeking a detail-oriented Data Analyst to join our growing team. As a Data Analyst, you will collaborate with cross-functional teams to derive meaningful insights from complex datasets and drive data-informed decision-making across the organization. You will collect, process, and analyze large datasets to identify trends and patterns, design and maintain regular reporting systems and dashboards and support strategic decision-making through ad-hoc analysis and recommendations.
Assist in data modeling and analysis, having a data-driven, business-oriented mindset in data analytics, including mining, cleansing, and visualization to transform data into goal-oriented reports that drive innovation and growth. Work closely with leaders across care, marketing, product, sales, engineering and IT to support and implement high-quality, data-driven decisions.
This role plays a critical part in ensuring the successful technical implementation of new clients—spanning everything from data integrations and file exchange workflows to billing setup, performance guarantee tracking and configuration of key operational systems. You will manage both inbound and outbound data flows, build client-specific configurations and support the systems that drive member engagement, operations and client reporting.
This role focuses on collecting, verifying, and maintaining accurate POI datasets using GIS tools and resources, conducting online and field-based research, and performing high-quality data entry, contributing to the development of internal workflows and identifying data issues.
This role is for a versatile generalist with both business savvy and technical expertise. You will assume key responsibilities across every department—from operations to product development—with significant leadership potential. You will use SQL, Excel, and analytics tools to extract insights and monitor key performance metrics to drive projects from ideation through execution, ensuring decisions are data-driven.