Qliktech Qlikview Projects
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Power BI Developer
Key Responsibilities: Develop functional & operational reports & dashboards. Build automated reports and dashboards with the help of Power BI and other reporting tools. Understand business requirements to set functional specifications for reporting applications. Be experienced in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, Power BI, and DAX Be able to quickly shape data into meaningful reports and analytics solutions. Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more. Analyse data sources and ensure data quality and integrity. Design and develop efficient data models in Power BI, ensuring optimal performance and scalability. Transform raw data into meaningful insights by implementing appropriate data transformations. Develop visually appealing and user-friendly dashboards, reports, and interactive visualizations in Power BI. Implement complex calculations and custom measures to meet business requirements. Leverage DAX (Data Analysis Expressions) to create advanced calculations. Integrate data from various sources into Power BI, ensuring seamless connectivity and data refresh. Utilize Power Query to clean, transform, and shape data for reporting purposes. Collaborate with cross-functional teams, including business analysts, data engineers, and IT teams, to ensure alignment with overall business goals. Conduct regular stakeholder meetings to gather feedback and make necessary adjustments to BI solutions. Provide training and documentation for end-users to ensure effective use of Power BI reports and dashboards. Monitor and optimize the performance of Power BI reports and dashboards. Ability of learning new tools to enhance the data quality and visualizations. Qualifications and Skills: Bachelor’s degree in computer science, Information Systems, or a related field. Proven experience as a Power BI Developer or similar role. Strong knowledge on Azure Data Lake, Data Factory and other data services Strong proficiency in Power BI, including data modelling, DAX, and Power Query. Solid understanding of relational databases and SQL. Experience in ETL processes and data integration. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Microsoft Power BI certification. Experience with other BI tools (Tableau, QlikView, etc.). Knowledge of data warehousing concepts. Familiarity with cloud platforms (Azure, AWS) for BI solutions.
7 days ago19 proposalsRemote
Past "Qliktech-qlikview" Projects
opportunity
Qlikview to Power BI Report recreation
Hi, We currently have Qlikview reports in the business and we would like to utilise Power BI instead. We would need some one to recreate the Qlikview Reports in Power BI for us. Happy to discuss in more detail.
3 x ~500 word blog posts
We are looking for a native English writer, to create 3 x 500 word posts on the below topics. We have been let down by another writer, so we therefore need a quick turnaround. Please quote for the entire job + supply a ETA for the project. 1) What is Big Data and why does it matter - Big Data refers to large and complex data sets that cannot be processed or analysed using traditional data processing tools. - It includes structured and unstructured data from a variety of sources such as social media, sensors, and IoT devices. - Big Data is important because it provides valuable insights and can help organisations make better decisions, improve their operations, and enhance customer experiences. - Big Data can be used in various fields such as healthcare, finance, marketing, and transportation. - Google Cloud Platform (GCP) provides a range of tools and services for managing Big Data, including BigQuery. - BigQuery is a serverless, highly scalable, and cost-effective data warehousing solution that allows users to analyse and query massive datasets quickly and easily. - BigQuery can be used to perform complex data analysis, machine learning, and business intelligence tasks. - GCP and BigQuery can be utilised by organisations to store, manage, and analyse their Big Data, enabling them to gain insights and make data-driven decisions." 2) Free alternatives Tableau - Tableau is a powerful data visualisation and analysis tool, but it can be expensive for individuals and small organisations. - There are several free alternatives to Tableau that offer similar features and functionalities. - Some of the popular free alternatives to Tableau include: - Google Data Studio: A web-based tool that allows users to create interactive dashboards and reports using a variety of data sources. -- Microsoft Power BI: A cloud-based platform that enables users to analyse and visualise data from multiple sources, including Excel spreadsheets, SQL databases, and cloud services. --QlikView: A self-service BI tool that provides users with a drag-and-drop interface to create interactive visualisations and reports. --Tableau Public: A free version of Tableau that allows users to create and share interactive data visualisations publicly. -D3.js: A JavaScript library for data visualisation that enables users to create custom and interactive visualisations using HTML, CSS, and SVG. - Each of these free alternatives has its strengths and weaknesses, and the choice of which to use depends on the user's specific needs and preferences. - While Tableau offers more advanced features and capabilities, these free alternatives can still provide a powerful and accessible way for users to visualise and analyse their data." 3) AI & Digital Analysts: Threat or Opportunity? "- Digital analysts are professionals who use data and analytics to understand user behaviour, optimise digital experiences, and drive business growth. - AI technologies such as machine learning and natural language processing are becoming increasingly sophisticated and can automate many of the tasks traditionally performed by digital analysts. - As a result, some people may worry that digital analysts are under threat from AI and may lose their jobs to automation. - However, others argue that AI is an opportunity for digital analysts to enhance their skills, increase their efficiency, and tackle more complex problems. - AI can automate repetitive and time-consuming tasks such as data collection, cleansing, and visualisation, allowing digital analysts to focus on higher-level analysis and strategy. - AI can also provide insights and recommendations that would be difficult or impossible for humans to discover, such as patterns and correlations in large and complex data sets. - To stay relevant and competitive in the age of AI, digital analysts need to embrace new technologies, develop new skills such as data science and machine learning, and focus on high-value tasks that require human creativity and critical thinking. - Ultimately, whether AI is a threat or an opportunity for digital analysts depends on how they adapt to the changing landscape and leverage the power of technology to create value for their organisations and clients."
opportunity
Connectors to Third Party Applications
I have around 50 connectors to be developed in a short period of time and require good solid Java programming skills. I have a company and great team in Bangalore but we are stretched with other projects. Connectors to QlikView, Power BI, Snowflake, Oracle, etc. Just to be clear on these connected. I am looking for an experienced Java developer for bi-directional data flow. I do not need a web designer!
opportunity
Automation of reports required
Hi, We currently use qlikview to copy data out to an excel where the data is minorly manipulated. There are several reports and I need then automated somehow. If interested please send me a proposal - thanks!