Senior BI specialist

AI in this role

nlp

Lead BI Scientist As a Lead BI Scientist, you will play a strategic role in architecting, delivering, and optimizing analytics and business intelligence solutions that drive measurable business outcomes. Leveraging your depth of experience, you will lead cross-functional engagements, translating business needs into innovative technical solutions using industry-leading BI tools, AI/GenAI, and advanced analytics. You will set standards for technical excellence, advocate for data quality, and champion continuous innovation across the analytics landscape. RESPONSIBILITIES Solution Delivery & Analytics Execution • Architect and develop robust, scalable dashboards, data models, and reporting solutions using BI and visualization platforms (e.g., Tableau), integrating advanced analytics such as AI/GenAI where relevant. • Lead the technical delivery of BI projects—from requirements gathering and data acquisition through deployment—ensuring outcomes align with business objectives and industry best practices. • Translate complex business questions and stakeholder requirements into impactful analytics solutions and data visualizations that guide business decision-making. • Perform advanced data analyses (e.g., statistical modeling, segmentation, text analytics/NLP) to uncover trends, operational patterns, and new business opportunities. Collaboration, Cross-Functional Engagement & Leadership • Engage proactively with business stakeholders, product managers, and data professionals throughout the analytics development lifecycle, ensuring delivery of high-value solutions. • Guide and facilitate sprint planning, agile ceremonies, and collaborative workshops to champion timely and high-quality project delivery. • Mentor and support team growth by sharing technical expertise, contributing to peer reviews, and promoting best practices within the BI and analytics community. • Lead a small team of BI scientists for specific projects Quality Assurance & Continuous Improvement • Establish and uphold high standards for data accuracy, security, and quality throughout all analytics initiatives. • Oversee the monitoring and validation of BI solutions, iterating rapidly on dashboards and models based on evolving business requirements and stakeholder feedback. • Maintain thorough documentation of technical processes, analytics workflows, and solution outcomes to support transparency and ongoing maintenance. Innovation & Strategic Alignment • Evaluate and advocate for emerging BI, data, and analytics technologies (including AI/GenAI) to advance Dyson’s analytics capabilities. • Shape the analytics roadmap by contributing strategic ideas, identifying opportunities to automate workflows, streamline processes, and elevate technical standards. • Foster a culture of knowledge sharing, continuous learning, and cross-team collaboration. QUALIFICATIONS • Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related STEM field. • Minimum 6 years of experience in business intelligence, data analytics, or related analytics roles. • Proven expertise with BI/visualization tools such as Tableau, Power BI, or QlikView; substantial experience in developing interactive dashboards and scalable data models. • Advanced proficiency in SQL and Python (or PySpark) for analytics, automation, and data manipulation. • Strong experience with data modeling, ETL development, and application of advanced analytics (e.g., predictive modeling, machine learning, GenAI). • Demonstrated success leading agile project teams and delivering analytics solutions in dynamic business environments. • Exceptional analytical, problem-solving, and communication skills; able to translate complex analytics into clear, actionable business insights. • Strong organizational skills, adaptability, and a proactive, solution-driven approach; experience with cloud analytics platforms (preferably Google Cloud Platform) is a plus.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

How we rate this

Senior BI specialist at Dyson rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

NLP

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: NLP. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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