Qlik Sense Developer Resume Sample

• Developing new apps and maintaining existing ones in MSD eco-system.
• Transpose various and complex business requirements into QLIK Sense dashboards.
• Responsible for ETL process of apps, customize the data in order to meet business requirements
• Building documentation related to deployment process.
• Stashing process. CloudBees CD/RO deployment.
• Agile methodology implementations.
• Improvements performance in QLIK Sense apps – QSDA Pro

• Gather data and translate complex business requirements into optimal and scalable data model and visualizations.
• Collaborate with UK business strategy team to implement global sales initiatives by creating new QLIK Sense apps
• Responsible for data creation, data updates and data reloading tasks
• Develop qvds and data formats for QLIK Sense apps.
• Conduct the UAT process by testing the visualizations functionalities and

• Gather business requirements from various company departments.
• App design: transform business requirements into data model, validate the data sources needed, customised scripting, new data requirements added: excel files, creating variables and calculated fields in the script.
• Visualisation creation: building sheets, create KPIs, build complex formulas, dynamic charts.
• Testing and validation of the data and the apps: work with IT department to develop existing data warehouse that helps to enhance apps and data visualizations. Work with finance department to test and validate the financial
quarterly results.
• SalesForce reporting: build customised reports and dashboards in SalesForce.com CRM.Oracle Analytics

• Creating customized reports and dashboards to provide insights and support strategic decision-making using SalesForce.com CRM and other analytics tools.
• Analyzing sales data to identify trends, patterns, and anomalies, providing actionable insights to drive sales performance and operational efficiency.
• Working closely with sales teams to gather requirements, understand business needs, and develop analytical solutions that support sales initiatives and targets.
• Identifying opportunities for process improvements within sales operations, implementing best practices, and streamlining workflows to enhance productivity and efficiency.
• Defining and tracking key performance indicators (KPIs) to measure the effectiveness of sales strategies and operations, ensuring alignment with organizational goals.
• Providing training and support to sales teams on the use of analytical tools and dashboards, ensuring they have the necessary skills to leverage data effectively.
• Communicating insights and recommendations to senior management and other stakeholders through reports, presentations, and meetings, facilitating data-driven decision-making.

• Analyzing sales data to identify trends, patterns, and insights that support strategic planning and decision-making.
• Developing and maintaining sales reports and dashboards to provide visibility into sales performance, metrics, and KPIs.
• Conducting market research to understand market conditions, competitor activities, and customer preferences, providing insights to inform sales strategies.
• Assisting in sales forecasting and planning activities by providing data-driven insights and recommendations to ensure accurate sales projections.
• Working closely with sales teams to gather requirements, provide analytical support, and develop solutions that address their needs and enhance sales performance.
• Monitoring and tracking sales performance against targets and goals, identifying areas of improvement, and recommending corrective actions.
• Ensuring the accuracy and integrity of sales data by managing data collection processes, performing data validation, and maintaining data quality standards.

• Collecting, analyzing, and interpreting sales data to identify trends, patterns, and insights that can drive sales strategies and decision-making.
• Preparing regular sales reports, summaries, and presentations to communicate sales performance, metrics, and key insights to management and sales teams.
• Assisting in the development of sales forecasts by analyzing historical data, market trends, and business conditions to provide accurate projections.
• Conducting market research and competitor analysis to understand the competitive landscape, identify market opportunities, and inform sales strategies.
• Providing analytical support for sales initiatives and campaigns, including tracking their effectiveness and suggesting improvements based on data insights.
• Managing and maintaining the customer relationship management (CRM) system to ensure accurate and up-to-date sales data, customer information, and sales activities.
• Working closely with sales teams to gather requirements, provide insights, and develop solutions that support their sales efforts and improve overall performance.