Key Responsibilities and Required Skills for Data Analytics & Report Developer

🎯 Role Definition

As a Data Analytics & Report Developer, you will be tasked with designing, developing, and maintaining robust reporting solutions and analytics frameworks that translate raw data into actionable insights. You will partner with business stakeholders to understand their needs, create interactive dashboards and standard reports, ensure data integrity and governance, optimise data flows and visualisations, and contribute to the strategic roadmap for reporting and analytics across the organisation. Your role will be critical in enabling data-driven decisions, improving operational efficiency, and driving business value.

📈 Career Progression

Typical Career Path

Entry Point From:

Data Analyst with strong reporting/visualisation experience
Business Intelligence Developer
Reporting Specialist / ETL Developer

Advancement To:

Senior Data Analytics & Report Developer
Analytics Manager or Reporting Lead
Business Intelligence Architect

Lateral Moves:

Data Engineer (specialising in data pipelines)
BI Dashboard & Visualisation Specialist
Data Governance or Data Quality Lead

Core Responsibilities

Primary Functions

Engage with business stakeholders to collect, clarify and prioritise data and reporting requirements, translating them into technical specifications for dashboards and reports.
Design, develop and maintain dashboards, standard reports and interactive visualisations using tools such as Power BI, Tableau, Qlik or equivalent.
Develop and maintain SQL queries, stored procedures and ETL processes to extract, transform and load data from multiple sources into reporting/data-warehouse environments.
Architect robust data models, design efficient schema (relational and/or dimensional) and manage metadata to support reporting and analytics objectives.
Perform data profiling, cleansing, reconciliation and validation routines to ensure accuracy, completeness and consistency of reporting data sets.
Monitor report performance, optimise query logic and data retrieval speeds, and tune dashboards to ensure responsive user experience.
Develop documentation of report logic, data transformations, data lineage and technical specifications to support maintainability and auditability.
Implement and maintain row-level security, role-based access controls and data governance frameworks for reporting solutions.
Create ad-hoc reports and deep-dive analyses to address business questions, identify trends, outliers and insights, and provide actionable recommendations.
Automate recurring reporting jobs and data refresh schedules, establish CI/CD pipelines for report deployment where applicable.
Collaborate with data engineering, IT infrastructure and DevOps teams to ensure reporting platforms, databases, and data pipelines are integrated, scalable and maintainable.
Provide training, support and documentation for business users and stakeholders on reporting tools, dashboard functionality, and best-practice data usage.
Drive continuous improvement of reporting processes, data architecture and analytics capabilities, keeping up with industry trends and new tools to enhance reporting efficiency and insight delivery.
Champion data governance initiatives – including standardised definitions, metrics catalogues, data lineage documentation and quality frameworks – to ensure trusted analytics.
Participate in sprint planning, agile ceremonies and cross-functional project teams to scope, plan, deliver and iterate reporting deliverables on time and within budget.
Lead or contribute to proof-of-concepts and pilot projects for advanced analytics (predictive modelling, forecasting, machine learning) and integrate these with reporting dashboards.
Manage and prioritise multiple report development requests and projects, balancing business urgency, technical complexity and resource constraints.
Ensure compliance with data privacy, regulatory and internal security requirements when handling sensitive information and building reports.
Collaborate with product, operations and finance teams to define key performance indicators (KPIs), create metric frameworks and drive analytics-based performance measurement across the organisation.
Review existing reporting and analytics solutions, retire outdated reports, refactor or redesign to improve usability, performance and business relevance.

Secondary Functions

Support ad-hoc data requests and exploratory data analysis.
Contribute to the organization’s data strategy and roadmap by offering input on reporting architecture and analytics direction.
Collaborate with business units to translate data needs into engineering requirements.
Participate in sprint planning and agile ceremonies within the data engineering and analytics team.

Required Skills & Competencies

Hard Skills (Technical)

Proficiency in SQL (complex queries, joins, indexing, performance tuning)
Experience in ETL/data-pipeline development and data integration from multiple sources
Hands-on experience with data visualisation tools such as Power BI, Tableau, QlikView or equivalent
Solid understanding of data warehousing concepts, dimensional modelling, star/snowflake schemas and data architecture
Proficiency in scripting or programming languages (e.g., Python, R or similar) for data preparation and analysis
Experience with report development, dashboard design, interactive visualisation and user-centric analytics delivery
Knowledge of data governance, data quality frameworks, metadata management and data lineage documentation
Experience in designing data models, maintaining reporting databases and tuning data retrieval for reporting performance
Familiarity with cloud or on-prem reporting platforms, data lakes, big data processing or modern analytics stacks
Ability to implement security controls, row-level access, and compliance measures within reporting solutions

Soft Skills

Excellent communication skills, able to engage both technical stakeholders and business users, translating technical concepts into business language
Strong analytical mindset with ability to derive insights, identify trends, and make recommendations to guide decision-making
Highly organised and detail-oriented, able to manage multiple priorities, competing deadlines and projects simultaneously
Collaborative team player who works across departments, builds relationships and drives consensus on requirements and deliverables
Proactive, self-driven and curious — stays up to date with evolving analytics/reporting tools and actively proposes improvements

Education & Experience

Educational Background

Minimum Education:

Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, Information Systems or a related discipline

Preferred Education:

Master’s degree in Analytics, Business Intelligence, Data Science or equivalent technical/business discipline

Relevant Fields of Study:

Computer Science
Data Science / Analytics
Business Intelligence
Information Systems / Decision Sciences

Experience Requirements

Typical Experience Range:

3-5 years of experience building reporting solutions, dashboards and analytics within a business or enterprise environment
Preferred:
5+ years of end-to-end analytics/reporting development, including architecture design, data modelling and leadership of analytics initiatives
Demonstrated track record of delivering business-impacting reporting solutions and enabling data-driven decision-making