The Company
Is your passion for data analytics matched by a drive to propel businesses forward? Our retail client seeks a visionary Data Analytics Manager to lead the charge in their digital transformation. In this critical role, you will spearhead data analysis initiatives, manage key projects, and oversee the development of insightful reports and dashboards. By leveraging your expertise in data warehousing, business intelligence tools, and team leadership, you will empower data-driven decision-making across the entire organization, ultimately fueling the client's growth trajectory.
The Role
You will lead a high-performing data team and empower data-driven decisions. In this role, you will manage a team of data analysts and developers, guiding their professional growth. You will also oversee the creation of reports, dashboards, and visualizations to translate complex data into clear insights. You will collaborate with various teams to ensure data projects align with business goals. From identifying data sources to building automated workflows, you will ensure data quality and efficient processes to support strategic decision-making. This role offers the opportunity to oversee various data tasks, including identifying data sources and prepping data for modeling. You will build and improve automated workflows to ensure smooth-running reports and consistent information across them. Additionally, you will also be responsible for migrating data structures from legacy systems to the cloud and will document test plans and perform quality assurance activities to guarantee data quality and integrity. By implementing best practices, you will optimize data processes for efficiency and scalability.
Your Profile
A bachelor's degree in computer science, information systems, or a related field is required and the ideal candidate will have at least 10 years of experience in data analysis, with a focus on managing teams and projects. Technical wise, proficiency in BI tools such as QlikSense (On-prem/Cloud), Tableau, and experience with data warehousing platforms like Snowflake. Data visualization using Qliksense, Tableau, or similar visualization tools, with the ability to create visually compelling and insightful dashboards and reports, proficiency in SQL and R for data querying, building data models, and conducting comprehensive data analysis. Familiarity with OLAP (Online Analytical Processing) concepts and experience leveraging OLAP technologies to analyze multidimensional datasets and knowledge of predictive modelling techniques using R, Python, or other relevant tools, with experience in developing and implementing predictive models to forecast trends and outcomes. Additionally, experience in modelling and designing relational databases, star schemas, and cubes to support analytical requirements and data-driven decision-making, sound understanding of functional areas such as finance management, customer relationships, sales, and logistics operations, with the ability to translate business requirements into actionable insights. Proficiency in statistical analysis and experience using statistical packages such as Excel, SPSS, SAS, etc., to analyze datasets and derive meaningful insights. Advanced Excel skills, including data manipulation, analysis, and visualization techniques, leveraging data analysis and segmentation to unlock growth opportunities and inform strategic decision-making, with the proven ability to translate data insights into actionable strategies that drive business performance are required skills to succeed in this role.
Apply Today
Please send your resume, in WORD format only and quote reference number SN12924995, by clicking the apply button. Please note that only short-listed candidates will be contacted.
EA Licence No: 07C5595 | EA Registration No: R1109288
