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Key Responsibilities and Required Skills for Business Intelligence Developer

💰 $80,000 - $120,000

DataAnalyticsBusiness IntelligenceIT Jobs

🎯 Role Definition

As a Business Intelligence Developer, you will be instrumental in transforming raw data into actionable insights that drive strategic decision-making across the organisation. You will design, build and maintain analytic data models, reporting pipelines and interactive dashboards; collaborate closely with business stakeholders to gather requirements; ensure data quality and governance; and deliver self-serve analytics platforms that enable teams to monitor performance, uncover opportunities and optimise processes.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Data Analyst
  • SQL/ETL Developer
  • Reporting Specialist

Advancement To:

  • Senior Business Intelligence Developer
  • BI Architect / Data Solutions Architect
  • Analytics Manager / Head of Business Intelligence

Lateral Moves:

  • Data Engineer
  • Data Analytics Consultant
  • Insights Manager

Core Responsibilities

Primary Functions

  1. Design, develop and implement scalable data models, data warehouses and data marts to support business intelligence and analytics initiatives.
  2. Extract, transform and load (ETL/ELT) data from multiple internal and external sources into analytic platforms, ensuring consistent and reliable data flows.
  3. Build interactive dashboards, reports and visualisations using BI tools such as Power BI, Tableau, QlikView, etc., tailored to business stakeholder needs.
  4. Collaborate with cross-functional teams (business, IT, operations) to gather, refine and translate business requirements into technical specifications and user stories.
  5. Monitor, tune and optimise database queries, data pipelines and visualisation performance to ensure fast, efficient analytics delivery.
  6. Implement and manage data governance, data quality and master data management practices to ensure accuracy and integrity of reporting.
  7. Maintain and enhance existing BI and analytics solutions, refactor and improve codebases, documentation and metadata repositories.
  8. Develop and maintain technical documentation, data dictionaries, metadata definitions and user guides for BI systems.
  9. Facilitate self-service analytics initiatives by enabling business users to access, visualise and analyse data independently with controlled governance.
  10. Conduct root-cause analysis of BI system issues, data discrepancies or performance bottlenecks and propose corrective actions.
  11. Stay current with emerging BI, analytics and data engineering tools and technologies, evaluate and recommend enhancements aligned to business strategy.
  12. Support ad-hoc data requests, exploratory analytics and deep-dive investigations into business performance trends.
  13. Ensure compliance with data privacy, security and regulatory requirements in the context of BI and analytics operations.
  14. Provide training, mentoring and support to business users and junior team members to maximise the value of BI solutions.
  15. Design and deliver KPI frameworks, metrics definitions and dashboard standards that align with organisational goals and performance management.
  16. Participate in agile project teams, contribute to sprint planning, backlog grooming and iterative delivery of BI features.
  17. Manage change requests and release schedules for BI deployments, collaborate with DevOps or IT infrastructure teams.
  18. Integrate BI solutions with cloud platforms, big data environments or modern analytic stacks as required by business growth.
  19. Establish and maintain effective working relationships with business units, clearly communicating insights, limitations and recommendations.
  20. Conduct regular audits of BI environment including system usage, performance, data retention and licence optimisation.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis.
  • Contribute to the organisation’s data strategy and roadmap.
  • Collaborate with business units to translate data needs into engineering requirements.
  • Participate in sprint planning and agile ceremonies within the data engineering team.

Required Skills & Competencies

Hard Skills (Technical)

  • Proficiency in SQL (including stored procedures, views, performance tuning)
  • Strong experience with ETL/ELT tools and data integration workflows
  • Hands-on with data modelling (star schema, snowflake, dimensional modelling) and data warehousing concepts
  • Competent in BI/reporting tools such as Power BI, Tableau, QlikView or similar
  • Experience with databases and data platforms: SQL Server, Oracle, Teradata, Snowflake, Azure, etc.
  • Ability to build and optimise data pipelines, databases and analytic environments for performance and scale
  • Skilled in data visualisation best practices, dashboard design, UX syntax and user-centric reporting
  • Familiarity with cloud data platforms (Azure, AWS, GCP) and modern BI/analytics architectures
  • Understanding of data governance, data quality, metadata management, master data management
  • Capability to document systems, frameworks and maintain metadata, technical documentation

Soft Skills

  • Excellent problem-solving and analytical thinking—able to translate complex business issues into BI solutions
  • Strong stakeholder management and communication skills—able to interface with business users, technical teams and senior management
  • Self-motivated and able to work autonomously as well as in team settings
  • Adaptable, able to learn new technologies and keep pace with evolving analytics landscape
  • Detail-oriented with strong focus on data accuracy, consistency and integrity
  • Able to manage multiple priorities and shifting deadlines in an agile environment
  • Collaborative team player, supportive of cross-functional initiatives and business outcomes

Education & Experience

Educational Background

Minimum Education:
Bachelor’s degree in Computer Science, Information Systems, Data Analytics or related discipline.
Preferred Education:
Master’s degree or additional certification in Business Intelligence, Data Science, Analytics or similar.
Relevant Fields of Study:

  • Computer Science
  • Information Systems
  • Data Science / Analytics
  • Business Intelligence / Business Analytics

Experience Requirements

Typical Experience Range:
3-5 years of experience in business intelligence, data analytics, or reporting development roles.
Preferred:
5+ years of experience building enterprise BI/data warehouse solutions, leading dashboard/reporting initiatives and working across full BI lifecycle.

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