Senior BI Analyst Developer
ROLE OVERVIEW
We are seeking a senior, business-facing Business Intelligence leader who combines deep technical expertise with hands-on delivery and light-touch team leadership. This role is accountable for facilitating world-class BI delivery for the business, ensuring insights are timely, trusted, and directly support investment decision-making, risk management, and portfolio oversight.
The role remains strongly hands-on: the successful candidate is expected to personally design and deliver complex BI solutions while also coordinating and uplifting a small team of BI Analysts. Leadership in this context is about setting direction, removing obstacles, enforcing standards, and enabling consistent, high-quality outcomes rather than pure people management.
The Senior BI Developer will act as a primary BI partner to the business, shaping the BI roadmap, translating strategic questions into analytical solutions, and continuously improving how data is used across the organization.
The ideal candidate is a self-starter who learns quickly, respects proven conventions, and elevates the team’s expertise through coaching and thoughtful refactoring.
KNOWLEDGE AND SKILLS:
BI Leadership, Coordination & Enablement:
- Act as the senior technical authority for BI, setting best practices, standards, and design principles across the BI estate.
- Coordinate and guide a small team of BI Analysts, balancing hands-on delivery with review, mentoring, and technical direction.
- Remain an active contributor, owning and delivering complex, high-impact dashboards, reports, and data models.
- Review and assure BI outputs to ensure they meet agreed standards for accuracy, performance, usability, and consistency.
- Facilitate effective ways of working across the BI team, including prioritization, estimation, and delivery cadence.
- Support skills development and knowledge sharing to uplift overall team capability.
BI Delivery & Stakeholder Partnership:
- Own the end-to-end delivery of BI solutions, from requirement definition through to deployment and ongoing enhancement.
- Partner closely with investment, risk, finance, and operations stakeholders to priorities BI initiatives and manage demand.
- Translate complex business requirements into scalable, well-designed BI solutions.
- Act as a trusted advisor to senior stakeholders, using data and insights to influence decision-making.
Data & Reporting Solutions:
- Oversee the design, build, and maintenance of dashboards and reports covering portfolio performance, cash flows, risk, and credit metrics.
- Drive standardization and reusability of reports, data models, and metrics across the organization.
- Ensure high levels of data accuracy, consistency, and transparency in all BI outputs.
- Champion automation of recurring reporting to improve efficiency and reduce operational risk.
Data Architecture & Continuous Improvement:
- Work closely with IT and data engineering teams to shape data models, pipelines, and BI architecture.
- Define and enforce BI best practices, including data modelling standards, naming conventions, and documentation.
- Identify opportunities to improve BI tooling, processes, and performance.
- Stay abreast of developments in BI tools, analytics techniques, and data visualisation best practices, and apply them pragmatically.
Required Experience & Skills:
- 10+ years of experience in BI, analytics, or data roles, ideally within asset management, private markets, or financial services.
- BI Tools: Expert-level experience with Power BI, Tableau, or Qlik, including enterprise-scale deployments.
- Data Platform:
- Experience working with cloud-based data platforms (preferably Azure: Synapse, Fabric, Data Factory).
- Familiarity with managing BI datasets and refresh strategies in enterprise environments.
- SQL: Advanced SQL skills for complex querying, optimization, and data validation.
- Data Modelling: Strong experience designing analytical data models (e.g. star and snowflake schemas).
ETL & Data Pipelines:
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- Strong experience designing and implementing ETL/ELT pipelines, including incremental data loads and data transformation strategies.
- Experience with modern data tooling (e.g., Azure Data Factory, SSIS, dbt, or equivalent).
- Understanding of data warehousing concepts, including fact/dimension modelling, slowly changing dimensions, and historical tracking
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- Application & Data Integration:
- Experience integrating BI solutions with application backends (e.g., .NET APIs) and frontends (e.g., SPA frameworks such as Vue or React)
- Familiarity with embedded analytics approaches (e.g., Power BI Embedded or custom dashboarding solutions).
- Strong understanding of data access patterns, pagination, filtering, and performance considerations in application-driven reporting.
- Excel: Advanced Excel skills, including Power Query; VBA experience beneficial.
- Experience optimizing BI and SQL workloads for large datasets (millions+ rows)
Governance: Experience implementing data quality controls and reporting standards.
MINIMUM EXPERIENCE:
- Bachelor’s degree in Finance, Economics, Data Science, Engineering, or a related field.
- Demonstrated experience delivering end-to-end BI solutions, from data modelling through to visualization and stakeholder adoption.