Job Description

WHAT YOU'LL DO

To realize our digital transformation, we need to transform our products, experiences, processes, technology and how we operate. Delivering unrivalled experience of exceptional service, value and flexibility is part of our DNA. We are looking for people who are passionate about Agile ways of working and want to spread this approach within our teams and business processes. As a member of Data & Analytics team you will be working with our Personal Productivity tribe. You will support data analytics, machine learning and innovation needs. This role will require to work across multiple squads and engage different stakeholders to provide insights for data driven decision making on wide ranging use cases. The ideal candidate will ensure that our Data & Analytics team align to the business objectives and supports key initiatives for the squads and tribe. This Role will need to leverage latest technology and best practices to deliver results, agility, efficiency and quality for data and visualization requirements.

YOU'RE GOOD AT

• 
  Should have 6-8 years of relevant work experience
• Proficiency in Python and experience with ML libraries and frameworks like Scikit-learn, H2O or Spark ML, NumPy, Pandas etc.
• Develop and improve predictive models to optimize the user experience and operational efficiency
• Experience in machine learning, supervised and unsupervised: Time-series, Classification, Decision Trees, Random Forest
• Sentiment analysis and data / text mining using NLP and services like Amazon Comprehend and opensource libraries like scatter text, spaCy etc.
• Must understand API integration using Python for extracting data from different sources
• Experience with Snowflake, SQL, and other relational databases
• Professional experience in building robust data pipelines using ETL tools is must (e.g., Alteryx, Talend etc.)
• Experience in data visualization using Tableau and Python libraries like Plotly, Seaborn, Matplotlib
• Knowledge of DataRobot, Azure or AWS AI/ML will be a plus
• Experience in business intelligence architecture and should have worked upon data visualization tools like Tableau, PowerBI, Qlik etc. with understanding of end-to-end BI technical architecture
• Strong analytics concepts and have applied the same in past projects (example: data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, usage of tableau extensions etc.)
• Strong understanding of Tableau’s new features, LOD functions, data blending, logical/physical joins, row level security, Windows calculations with usage of Tableau extensions

YOU BRING (EXPERIENCE & QUALIFICATIONS)

• 
  Should have 8+ years of relevant work experience in Data & Analytics
• Define architecture and design for the development, evolution, and transformation of our data foundations
• Design databases, architectures, data pipelines e.g., extract-transfer-load (ETL) processes and facilitate customized (statistical) analyses
• Creating data models and pipelines supporting BI, client reporting and Artificial Intelligence / Machine Learning projects
• Professional experience and can provide guidance in building robust data pipelines using ETL tools is must (e.g., Alteryx, Talend etc.) and certification would be a plus
• Knowledge of scripting languages, such as Python or PowerShell
• Experience working on with cloud warehouses like: Snowflake and other relational databases like SQL, etc.
• Understanding of analytic Cloud modernized data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses, and marts,
• Understanding of dimensional modeling, star schemas, real-time and batch ETL/ELT
• Prior experience in Azure and AWS cloud environments building data pipelines
• Demonstrated experience with Analytics implementations and/or data and reporting projects
• Experience in extracting data using REST APIs and from different sources
• Experience working across squads in an Agile model

YOU'LL WORK WITH

As a member of Data Analytics team, you will work in the Personal Productivity tribe. Data team is based in Gurugram. You will work closely with our internal stakeholders globally to support data analytics; machine learning and innovation requirements asks.