Analytics Developer transforming data into business information via Power BI dashboards and reports. Working with key stakeholders to drive data quality and analytics in the utility sector.
Responsibilities
Design, develop and deploy analytical products in Power BI Service and Report Server using various data sources.
Develop Power BI Premium models with dimensional modelling techniques.
Develop strong relationships with the business and key stakeholders to ensure analytics support provided reflects business needs.
Convert business requirements into technical specifications and implement them through reports that support decision-making.
Continuously seek opportunities to enhance data quality and reliability of data.
Develop Business Intelligence and analytical products, prototypes for functional and enterprise use, including but not limited to testing, deployment and maintenance.
Develop consistent documentation for data products.
Implement data quality improvements across all departments to increase confidence that data can be used to inform decision making.
Be able to query using SQL in different databases including MSSQL Server.
Provide Power BI training and develop training materials for end users.
Deliver services and data products as part of the Power Platform using the suite of Microsoft’s PowerApps.
Requirements
Previous experience as Power BI Developer and creating Power Apps within business analysis.
Experience in creating training material, providing training and championing Power BI.
Hands on experience with SQL querying and proficient in both DAX and M languages.
Experience of using API’s to get data.
Experience of implementing row-level security on data along with an understanding of application security layer models in Power BI.
Experience of implementing advanced calculations on data sets.
Experience in Utility sector.
Be engaging and passionate about data and analytics.
Degree Level Qualification in Computer science, IT or equivalent.
Microsoft Certified: Power BI Data Analyst Associate.
Expert knowledge of Azure Data tech stack, specifically hands on experience of delivering solutions in Power BI.
Expert knowledge of database design, relational and dimensional modelling, star schema and snowflake scheme.
Expert knowledge of MS SQL Server, TSQL, Power Query, MDX and DAX.
Join knowmad mood as a Data Engineer / Analytics Engineer focusing on data processing for hotel business analytics. Collaborate within a mature data team on technological modernization strategies.
Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.
Data Analytics Engineer focused on building ETL pipelines and data models at Prodigy Finance. Working with AWS Redshift, Python, and SQL in a hybrid team.
Data Analytics Engineer driving innovative data solutions at Northern Trust. Collaborating on architecture, client satisfaction, and technology transformations with a global team in a hybrid role.
Analytics Engineer transforming raw data into actionable insights to support decision - making in data marketing. Working with various data technologies in a hybrid internship role in Paris.
Senior Analytics Engineer developing data pipelines and analytics capabilities for a data - driven analytics company. Collaborating with stakeholders to build trustworthy datasets for impactful decision - making.
Analytics Engineer driving the architecture and scalability of data models and pipelines at Preply. Collaborating across teams to empower data - driven decision - making in education tech.
Analytics Engineer for Customer Product Analytics team at Just Eat Takeaway.com. Enhancing user experience by delivering data - driven insights and optimizing product experience in a hybrid role.
Analytics Engineer transforming raw data into organized datasets. Collaborating with business teams to ensure data quality and governance in Azure environment.
Data Engineer creating scalable data pipelines for Capgemini's analytics solutions using modern ETL tools. Involves data storage and management using platforms like Snowflake and Redshift.