Role Description

We are seeking a highly analytical and results-driven Data Analyst / Lead Data Analyst to transform complex data into actionable insights that support strategic business decisions. This role is responsible for collecting, analyzing, interpreting, and visualizing data, developing reporting solutions, and leading data-driven initiatives to improve operational performance and business outcomes.

The ideal candidate has strong analytical skills, a passion for problem-solving, and the ability to communicate technical findings to both technical and non-technical stakeholders.

Key responsibilities include

- Collect, clean, validate, and analyze large datasets from multiple internal and external sources.
- Design, develop, and maintain dashboards, reports, and data visualizations to support business decision-making.
- Identify trends, patterns, risks, and opportunities through statistical analysis and business intelligence techniques.
- Develop and optimize SQL queries, data models, and reporting processes to improve data accessibility and efficiency.
- Perform exploratory data analysis, forecasting, segmentation, and predictive analysis where applicable.
- Collaborate with business stakeholders to gather reporting requirements and translate business needs into analytical solutions.
- Monitor key performance indicators (KPIs) and provide regular performance reports with actionable recommendations.
- Support strategic planning, operational improvement, and digital transformation initiatives through data-driven insights.
- Ensure data quality, integrity, consistency, and governance across reporting and analytics processes.
- Conduct root cause analysis and present findings to support business improvement initiatives.
- Work closely with data engineers, business analysts, software developers, and leadership teams on cross-functional projects.
- Document data definitions, analytical methodologies, reporting standards, and technical processes.
- Mentor junior analysts and provide technical guidance, code reviews,



and best practice recommendations (Lead Data Analyst responsibilities).
- Evaluate emerging analytics technologies, AI-powered tools, and business intelligence platforms to improve reporting capabilities.
- Ensure compliance with organizational data governance, privacy regulations, and security standards.
- Drive continuous improvement by enhancing reporting automation, analytical frameworks, and data management processes.

Qualifications
- Bachelor's degree in Data Analytics, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, Economics, or a related field.
- Strong understanding of data analysis, statistical methods, business intelligence, and data visualization principles.
- Proficiency in SQL for querying, transforming, and analyzing data.
- Experience with business intelligence and visualization tools such as Power BI, Tableau, Looker, Qlik, or similar platforms.
- Knowledge of Microsoft Excel (including advanced functions, PivotTables, and Power Query) for data analysis and reporting.
- Familiarity with Python or R for data analysis, automation, and statistical modeling is an advantage.
- Understanding of relational databases, data warehousing, ETL processes, and data modeling concepts.
- Knowledge of cloud-based analytics platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP) is beneficial.
- Familiarity with Agile methodologies, project collaboration tools, and data governance practices.
- Strong analytical, critical-thinking, and problem-solving skills.
- Excellent written, verbal, presentation, and stakeholder communication abilities.
- Solid leadership, mentoring, and project coordination skills for Lead Data Analyst responsibilities.
- High attention to detail with a commitment to data accuracy, quality, and confidentiality.
- Ability to manage multiple projects and priorities while meeting deadlines in a fast-paced environment.
- Professional attitude with integrity, accountability, adaptability, and a continuous improvement mindset.
- Commitment to delivering accurate, data-driven insights that support strategic decision-making, operational excellence, and sustainable business growth.

📌 Data Analys / Lead Data Analys (Australia)
🏢 Sustainable Investment Forum Poland (POLSIF)
📍 Australia