Senior Data Analyst | SQl, Python, Power BI | Helsingborg

at  Infosys

JOB DESCRIPTION

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

YOUR ROLE

As a Senior Consultant, you are an expert at contributing to different phases of the consulting lifecycle. You will be intensely involved in; you will define the problem, propose and refine the solution. You will also play an important role in the development, configuration and deployment of the overall solution. You will guide teams on project processes, deliverables and contribute to the proposal development, client training and internal capability-building and help detail the project scope. You will have the opportunity to shape value-adding consulting solutions that enable our clients to meet the changing needs of the global landscape.

Required

• Experienced Senior Data Analyst with proven track record of collecting, cleaning, analyzing, and interpreting large datasets
• Expertise in Pipeline designing and Validation
• Expertise in statistical methods, machine learning techniques, and data mining techniques
• Proficiency in SQL, Python, SQL, PowerBI, GoogleAnalytics 4, Splunk, Contentsquare, Qliksense
• Experience with data visualization tools such as Grafana and Splunk.
• Ability to work independently and as part of a team
• Problem-solving and analytical skills to extract meaningful insights from data
• Strong business acumen to understand the implications of data findings

Preferred

• Logical thinking and problem-solving skills along with an ability to collaborate
• Two or three industry domain knowledge
• Client Interfacing skills
• Knowledge of SDLC and agile methodologies
• Experience in digital transformations, modernization and process reengineering