PowerBI Developer

1 week ago

Delhi, India Luxoft Full time
Project description:
Our client is one of the leading multinational food and drink processing corporation. Being one of the largest food company in the world, company has strategic programs of regional platform management and optimization.
Responsibilities:
Need to work on enhancements for the licenses financial dashboard for Program Reimagine + KPIs for the program. Several data sources and some calculations.
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
Create and maintain rich interactive visualizations on PowerBI through data interpretation and analysis, with reporting components from multiple data sources.
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets.
Skills
Must have:
We need 5+ years of relevant experience as a developer. Look for a senior Developer in mining data as a data analyst.
Proven analytics skills, including mining, evaluation, and visualisation.
Technical writing experience in relevant areas, including queries, reports, and presentations.
Strong SQL or Excel skills, with an aptitude for learning other analytics tools.
Strong PowerBI skills, experience of data visualization and providing reports to different levels of management.
Nice to have:
Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics.
Experience with database and model design and segmentation techniques.
Strong programming experience with frameworks, including XML, JavaScript, and ETL.
Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS.
Proven success in a collaborative, team-oriented environment.

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