Responsibilities
- Gather, process, and examine large volumes of data to detect patterns, trends, and meaningful insights.
- Create intuitive dashboards and visual representations using tools like Tableau, Power BI, or equivalent platforms.
- Work closely with business stakeholders to understand needs and deliver tailored data outputs.
- Clean and validate datasets to maintain high standards of data integrity and accuracy.
- Produce scheduled and on-demand reports that support strategic business decisions.
- Present analytical findings clearly to both technical and non-technical audiences.
- Keep up with evolving methodologies, technologies, and best practices in data analysis and visualization.
- Deliver executive-level reports including recurring KPI summaries, program status updates, budget variance assessments, and milestone progress tracking.
- Analyze operational data across departments such as finance, HR, procurement, and research to uncover trends, outliers, and key insights.
- Design effective visual narratives by selecting appropriate charts, metrics, and presentation styles for specific audiences, in coordination with engineering teams.
- Develop Figma prototypes for new reporting interfaces, including wireframes and visual specifications prior to development.
- Conduct responsive data investigations to answer leadership inquiries requiring deep dives into operational metrics.
- Assist business units in defining measurable and meaningful key performance indicators.
- Establish and maintain automated or semi-automated reporting cycles for consistent delivery of status updates and summaries.
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid work model
Team
Collaborative environment with cross-functional teams focused on data-driven decision-making
Responsibilities
- Collect, analyze, and interpret large datasets to identify trends and patterns.
- Develop clear and insightful visualizations and dashboards using tools such as Tableau, Power BI, or similar.
- Collaborate with stakeholders to gather requirements and deliver relevant data solutions.
- Perform data cleansing and ensure data quality.
- Generate regular and ad-hoc reports to support business initiatives.
- Communicate findings and insights effectively to both technical and non-technical audiences.
- Stay current with data analysis and visualization best practices and tools.
- Executive reporting: recurring KPI reports, programme status summaries, budget variance analysis, milestone tracking
- Data analysis: identifying trends, anomalies, and insights across operational data (finance, HR, procurement, research portfolio)
- Visualization design: defining the right chart, metric, or narrative for each audience — working with the Full Stack Engineer to implement dashboard views
- Figma mockups for new reporting surfaces — wireframes and visual specs before engineering build
- Ad hoc analysis: answering leadership questions that require digging into data ("why did procurement spend spike in Q3?")
- KPI definition support: working with business owners to define meaningful, measurable KPIs
- Reporting cadence: automated or semi-automated generation of recurring status reports and summaries
Available for qualified candidates
