BDO Wave - Data Analyst, Gqeberha (Port Elizabeth)

Description The Data Office is responsible for developing and implementing an enterprise-wide data strategy for BDO. Within the Data Office, the Data and Analytics team builds value-focussed data products strategically on the Enterprise Data and Analytics Platform (EDAP), internally for the firm. The Data Analyst sits within this growing team to build, develop, and support the growing catalogue of data products offered by the Data Office and will play a vital part in the execution of the data strategy. Reporting to the Data Analytics Lead, the Data Analyst will be a key role in the translation of data into meaningful and actionable insights. It is also their responsibility to provide value from the wealth of data available by understanding, not only the business, but also the technical aspects of the data. They will be curious and grow their knowledge of the business and systems to get to the bottom of what stakeholders are really asking for, providing the best product to suit their needs. The Data Analyst will support continuous improvement with developing value-adding products as well as by highlighting any data risks found through thorough testing and analysis. The Data Analyst will analyse and interpret data from multiple sources, creating models, reports, dashboards, and recommendations that help BDO to make decisions on its growth analytics strategy and beyond. Requirements Principal Accountabilities Strives for excellence in data analytics by designing and building data analytics products. Delivers products with the right tool, considering security, sensitivity, and a strategic versus tactical approach. Works closely with the Data Engineering counterparts to develop the building blocks to analytics by understanding and contributing to the ETL processes with knowledge of project required analytical outputs. Possesses foresight in builds of curated datasets to allow for further use cases than the original ask to support Data Engineering with information on what would be required to enhance curated datasets. Identifies trends, patterns, and opportunities through statistical analysis and data exploration. Provides expert guidance and recommendations to the business on analytics, inclusive of advanced analysis, modelling and performance measurement. Understands BDO's analytical issues across streams and utilises this knowledge to maximise value from BDO's internal data as well in conjunction with external data sources. Collaborates with both business and technical subject matter experts to provide products which focus on a holistic approach. Reports to the Data Analytics Lead with clear communication and leads projects with autonomy. Technical Knowledge, Professional, Qualifications and Experience Capabilities: At least 1 years' experience of working in the fields of data analysis, data science, or business intelligence. Proficiency in SQL and, preferably, Python. Extensive experience in data analytics and data visualisation, preferably beyond descriptive and diagnostic analytics. Understanding of statistical concepts and analytical techniques. Experience working with large datasets and relational databases. A track record in making data solutions accessible for end-users. Experience of working with stakeholders to deliver a data-driven approach to decision making. Experience in building data products which transition away from manual and heavily Excel based analysis towards automated or semi-automated solutions. Knowledge of star schema modelling including dimensional data modelling, the identification of dimensions, facts, measures and hierarchies. Experience developing analytics using Microsoft Power BI, Power Automate and/or other data visualisation tools. Competencies/Characteristics Ability to look beyond the original requirement to bring value via additional analytics. Ability to apply multiple analytical solutions to business problems. Proven ability to work well with others. Displays intellectual curiosity and integrity. Motivated and driven to continuously improve both self and team. Demonstrate ownership and responsibility for deliverables/services.