Sr Data Analyst 1 - Bengaluru/Bangalore - IHS @ Markit

Job Posting Title Agribusiness Intelligence, Data Science Associate

Justification Agri at IHS Markit is modernizing its analytics infrastructure. We are developing automated data collection, migrating our data and operations to the cloud, and building products using sophisticated machine learning. We are producing and consuming more data than ever before. Turning this data into actionable insights, research, and new products requires a data science team responsible for exploring, documenting, and analyzing data to support the broader research teams.

Primary Location Bangalore .

The Agribusiness Intelligence (Agri) team at IHS Markit is seeking candidates with advanced technical skills to assist researchers, developers, and data scientists in handling, cleaning, and transforming data within a cloud environment. Prospects must have strong python and SQL experience and familiarity with AWS cloud computing tools. Individuals with some knowledge or experience working in agriculture markets in any country are preferred.

Assisting researchers, data scientists, and developers with a wide variety of tasks to further the role of data science in producing actionable insights for researchers within Agri.

• Maintenance of existing data science platforms within Agri
  • Building data science support tools for existing products
    • Dynamically evaluate model quality, data quality, automatically cleaning and transforming data
  • QA and maintenance of all associated datasets and pipelines on diverse platforms including the IHS Markit Datalake and the AWS cloud environment
• Development
  • Build new big data modeling tools to support internal research, consulting activity, and new or existing products
  • Expand existing products and analytics with new data streams and analytical layers
• Exploratory Data Analytics
  • Build novel or functional data interfaces and views for research teams to promote insights for clients
  • Conduct exploratory data analysis (distributions, cleanliness, statistical tests) on all large Agri datasets.

• Assist research team with transition and modernization of data infrastructure around existing internal analytical models
• Onboard and support researchers migrating to cloud solutions and new technologies
• Work with researchers to understand data volume and structuring challenges to bring more data into Agri and the AWS cloud platform

• BA in Mathematics, Computer Science, Computational Engineering, Information Science, Economics, or related field (MS preferred)
  • AND 3+ years of experience deriving insight from large datasets in a commercial environment
  • Portfolio of work (git) that demonstrates advanced knowledge of handling, transforming, and ingesting data in Python and SQL to produce insight.
• Advanced knowledge of Python 3
  • Pyspark, numpy, pandas, ODBC, matplotlib or similar
• Advanced knowledge of SQL
• Strong data visualization skills including experience with PowerBI
• Strong time series data skills including demonstrated experience collecting, cleaning, and transforming large volumes of data efficiently using dataframes and lazy evaluation engines.

• Experience with or knowledge of agriculture production, trade, and pricing.

• Experience working with Snowflake
• Experience visualizing data with R-shiny, d3.js, or other python-based tools.