Location: Edinburgh
In this position, you’ll be based in the Edinburgh office for a minimum of three days a week, with the flexibility to work from home for some of your working week. Find out more about our flexible work culture at
computershare.com/flex . We give you a world of potential Our team is currently looking to recruit a Data Analyst to join the Global Development Engineering team, based in Edinburgh city centre within Computershare Technology Services. A role you will love As the Data Analyst, you will engage in our global digital transformation, working on exciting projects that influence decision-making and shape our long-term business strategy. You will gain valuable experience and exposure to cutting-edge technologies and methodologies. You will be part of a product-focused, cross-functional delivery team, building open and trusted relationships with your team and stakeholders. Writing high-quality, clear requirements to enable the development team to estimate, plan, and deliver demand. Some key responsibilities: Working with stakeholders across the organisation to identify needs, define requirements, and develop solutions to address business challenges. Analysing and visualising data to generate insights and support business decisions. Implementing data analysis techniques, including clustering, regression, and time series analysis, to provide insights. Designing and implementing semantic models and visualisations using technologies like Power BI and Microsoft Fabric. Influencing and leading the definition of best practices for data analysis, design, and construction. What will you bring to the role? As the Data Analyst, your role is to understand the business opportunity, design data solutions, and define the necessary changes to deliver solutions that address our needs. We’re looking for someone who is experienced in Data Management, particularly with data cleansing, preparation, and management to ensure data integrity and accuracy. Other key skills required for the role include: Experience in designing and implementing data constructs for effective data organisation and retrieval. Strong understanding of statistical methods and their application in data analysis. Excellent problem-solving skills to identify patterns, trends, and insights from complex data sets. Experience with Big Data Platforms such as Spark, Hadoop, Azure. Experience writing in SQL/PySpark in a notebook environment. Does this sound like the role for you? Please don't hesitate to apply today! Rewards designed for you. Flexible work
to help you find the best balance between work and lifestyle. Health and wellbeing
rewards that can be tailored to support you and your family. Invest in our business
by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well. Extra rewards
ranging from recognition awards and team get-togethers to helping you invest in your future. And more.
Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit
computershare.com/careershub . #LI-SM1 #LI-Hybrid
#J-18808-Ljbffr
computershare.com/flex . We give you a world of potential Our team is currently looking to recruit a Data Analyst to join the Global Development Engineering team, based in Edinburgh city centre within Computershare Technology Services. A role you will love As the Data Analyst, you will engage in our global digital transformation, working on exciting projects that influence decision-making and shape our long-term business strategy. You will gain valuable experience and exposure to cutting-edge technologies and methodologies. You will be part of a product-focused, cross-functional delivery team, building open and trusted relationships with your team and stakeholders. Writing high-quality, clear requirements to enable the development team to estimate, plan, and deliver demand. Some key responsibilities: Working with stakeholders across the organisation to identify needs, define requirements, and develop solutions to address business challenges. Analysing and visualising data to generate insights and support business decisions. Implementing data analysis techniques, including clustering, regression, and time series analysis, to provide insights. Designing and implementing semantic models and visualisations using technologies like Power BI and Microsoft Fabric. Influencing and leading the definition of best practices for data analysis, design, and construction. What will you bring to the role? As the Data Analyst, your role is to understand the business opportunity, design data solutions, and define the necessary changes to deliver solutions that address our needs. We’re looking for someone who is experienced in Data Management, particularly with data cleansing, preparation, and management to ensure data integrity and accuracy. Other key skills required for the role include: Experience in designing and implementing data constructs for effective data organisation and retrieval. Strong understanding of statistical methods and their application in data analysis. Excellent problem-solving skills to identify patterns, trends, and insights from complex data sets. Experience with Big Data Platforms such as Spark, Hadoop, Azure. Experience writing in SQL/PySpark in a notebook environment. Does this sound like the role for you? Please don't hesitate to apply today! Rewards designed for you. Flexible work
to help you find the best balance between work and lifestyle. Health and wellbeing
rewards that can be tailored to support you and your family. Invest in our business
by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well. Extra rewards
ranging from recognition awards and team get-togethers to helping you invest in your future. And more.
Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit
computershare.com/careershub . #LI-SM1 #LI-Hybrid
#J-18808-Ljbffr
