BI Analyst - Omnicom Global Solutions

Designation: BI Analyst

Location: Bangalore/Hyderabad/Pune/Gurgaon - Hybrid

Shift Timing: 11am - 8pm

About The Role

As a part of an international team of Data Scientists and Machine Learning experts with diverse backgrounds, you will be responsible for

• Solving complex business challenges using advanced analytics, predictive modeling, or other advanced statistical modeling.
• Analyze and visualize data to generate actionable insights for clients
• Lead internal projects and represent BI within the company
• Consulting/supporting clients in the area of data science/ML/AI
• Continuous collaboration with the digital analytics department to develop complex queries for ad-hoc requests and projects, as well as ongoing reporting
• Interface with customers and stakeholders, gathering requirements and supporting end-to-end reporting solutions

Qualifications

• 2+ years of experience in Business Intelligence or Data Science
• Bachelors degree in information management, mathematics, statistics, finance, etc. or comparable professional experience
• Advanced or expert knowledge of SQL
• Advanced knowledge of data visualization tools (e.g. Looker/Data Studio, PowerBI, Tableau, etc.)
• Expert in building, documenting, and managing recurring dashboards
• Knowledge of technical and methodological aspects of running ML models in production
• Customer-oriented and strong analytical thinking
• Excellent data visualization and storytelling skills with the ability to effectively communicate technical concepts to non-technical clients and colleagues
• Fluency in written and spoken English, German is a plus
• Experience with Looker, Google Analytics, and Google Cloud Platform
• Experience with Python

Nice to Have

• Experience in the areas of marketing analytics, marketing intelligence, business intelligence, digital analytics and/or online marketing
• Experience with statistical analysis, regression analysis, time series analysis, data mining, demand forecasting
• Knowledgeable in A/B testing and statistical methods
• Knowledgeable with ETL pipelines and methodologies