Were looking for a hands-on
Data Lead/ Analytics & BI Manager
to join our team and help drive business insights, manage our data infrastructure, and work closely with internal stakeholders and partners.
This role
blends technical capability with stakeholder management
and will suit someone looking to step up into a lean team leadership role while remaining close to the data.
Yourell manage a small team (including offshore support), deliver high-quality dashboards and reports, and help the business make smarter, data-informed decisions.
You should also be comfortable working across BI platforms and evolving data environments.
Team Management & Collaboration
Provide day-to-day guidance to a small data team (analyst + offshore engineer)
Delegate tasks clearly, review output, and support team development
Ensure smooth communication across internal and external stakeholders
Step in on analytics work when needed
hands-on role
Foster a collaborative and delivery-focused team culture
Business Intelligence & Reporting
Maintain and enhance dashboards, reports, and BI tools
Liaise with marketing, business development, and client servicing teams to understand reporting needs
Translate business requirements into scalable dashboards and meaningful insights
Troubleshoot issues, validate data outputs, and ensure reporting continuity
Support enhancements to BI systems, including redesign of dashboards and evolving KPI needs
Deliver clear insights to business users and external partners
Provide training on new dashboards and support user onboarding
Have experience in marketing analytics, CRM analytics and/or pricing analytics
Client & Stakeholder Engagement
Act as the primary point of contact for all client-related data and reporting matters
Manage and resolve client inquiries, data issues, and enhancement requests in a timely and professional manner
Build strong relationships with key clients and ensure expectations are met or exceeded
Coordinate cross-functional responses to client needs and proactively surface insights that add value
Data Engineering Support
Manage and maintain routine ETL tasks, data pipelines, and scheduled reloads
Coordinate with offshore engineer to ensure data quality and timely delivery
Participate in projects to improve data integration, modelling, and structure
Ensure proper documentation and version control for data processes
Operational Excellence
Track and respond to internal support requests and enhancement tickets
Maintain updated user documentation, data dictionaries, and glossary of metrics
Handle routine and ad-hoc reporting needs
Ensure access controls are maintained and usage monitored appropriately
Manage and prioritize competing projects and deliverables while maintaining project timelines and budgets
Communication & Collaboration
Excellent leadership and communication skills, inspiring and motivating diverse teams across onshore and offshore locations
Effective collaboration with business stakeholders, IT department, and offshore partners
Professional demeanor and excellent communication skills for interacting with internal and external stakeholders
Additional Skills
Passion for learning new technical tools and business concepts
Ability to work independently and resourcefully solve day-to-day issues
Strong background in Excel and PowerPoint
Maintain discretion with sensitive and confidential information
Job Specifications:
Bachelor's degree or graduate degree in Data, Computer Science, or a related field with 4 6 years of experience in data analytics, BI, or a related field
Strong SQL/ Python skills and experience with BI tools (e.g. Apache Superset, Google Looker, Microsoft Fabric/Power BI, Tableau, etc.) as well as web analytics - Google Analytics 4
Comfortable working with evolving dashboards, KPIs, and business needs
Hands-on experience with data transformation and working across data pipelines
Exposure to stakeholder management, requirements gathering, and cross-functional collaboration
A self-starter who is comfortable with ambiguity and evolving priorities
Bonus: Experience working in environments where data tools or platforms were being upgraded or restructured
#J-18808-Ljbffr