Business Intelligence Analyst

Job description

Data

Competent in data mining, handling of large structured and unstructured dataset, data modelling, data hygiene, transformation, data processing and associated processing efficiencies alongside GDPR and Infosec principles

Toolkit Development

Competency in Excel, PowerPoint, PowerBI (Dax, Mquery), SQL (SSMS) and awareness of Power Automate, Azure, ADLS, Azure Databricks, API integration and standard ETL practices

UX Design & Delivery

Competency in translating data solutions into intuitive and impactful client and operational reporting, analytical and scorecard dashboards in a manner consistent with best practice and awryness of the importance of continued development of existing and future state toolkit vs emerging technologies and visualisation methodologies

Innovation & Development

Competency in driving continued iteration of existing and emerging requirements to drive the most efficient and effective solutions that drive the most value and end user experiences which includes backend systems and processes and front end toll kit and development applications

Autonomy & Self-management:

Competency in managing defined workstack to ensure delivery and accurate expectation setting while flagging risks with relevant customers / stakeholders

Analysis - Discipline

Competency in core analytical disciplines encompassing qualitative and quantitative, trend and variation, productivity, customer experience and voice of the customer surveying, customer journey, scorecards and glidepaths, root-cause, what-if, benefits and opportunity sizing, interrogation reconciliation and stabilising of data, awareness of speech and text, forecasting, predictive modelling, propensity, sentiment, Gen AI, machine learning with an overarching appreciation for statistical discipline to drive consistent efficiency and accuracy

Analysis - Narrative & Presentation

Competency in translating complex data into logical and compelling stories that satisfy client and operational needs to articulate day-to-day tactical opportunities that are actionable and delivered in a simple, clear and impactful way through the use of plain language and creative use of visualisations aligned to toolkit development best practice

Relationship Management

Competency and understanding of benefits of sound relationship/ stakeholder management

Tactical, Strategic & Commercial Awareness

Competency and understanding of tactical objectives with the ability to incorporate key factors such as contractual goals, targets and potential growth opportunities whether through operational performance management or broader account development into day-to-day delivery

Management responsibilities

No direct management responsibilities

Behavioural Traits

Curiosity: A strong desire to learn and understand data and its implications Attention to Detail: Ensures accuracy and precision in data analysis and reporting. Proactivity: Takes initiative in identifying potential areas for analysis. Collaboration: Works well with team members and seeks guidance when needed. Analytical Thinking: Ability to break down complex data into understandable insights.

Mindset Traits

Growth Mindset: Open to feedback and continuously seeks to improve skills. Problem-Solving: Eager to tackle challenges and find solutions through data. Ownership: Takes responsibility for tasks and strives to deliver quality work.