Job Description:

We are looking for individuals who excel at executing an analytics vision, with a focus on efficiency and sustainable value creation, through the use of data transformation, data analysis, converting business problems into analytical problems, quickly iterating on machine learning / analytics models, and building and deploying analytical solutions in a sustainable manner to deliver value to our internal client organizations.

A successful candidate will bring advanced knowledge of best-in-class data transformation and analysis methodologies, analytics / machine learning tools and techniques, and an ability to adapt to, and learn very quickly from, a very diverse environment of data, technology, business problems and stakeholders.

A Day in The Life Typically Includes:

• This is a highly visible execution role for the business solutions analytics capability throughout the organization. The Data Analyst creates and manages the execution roadmap for the analytics strategy developed for a specific client organization / problem.

• Serve as an analytics ambassador at the client organization, to build the path between strategy, data science model design, and solution development and deployment in client organization.

• Serve as the primary contact for execution and collaboration across teams business, strategy, consulting, IT, data science

• Ensure that all requirements for the data science team are met, and create a sustainable plan to serve these needs on an ongoing basis

• Be the primary point of resolution for all issues like data security, data ingestion, solution deployment, unexpected delays

• Identifying sources for data acquisition and ingestion

• Performing ETL on the data, both internal and external sources

• Data cleaning and quality analyses

• Exploratory data analyses like univariate, bivariate, correlation, simple regression etc.

• Designing processes for delivering inputs to data science team, and consumption of insights / recommendations by the business teams.

• Automation of various process to make them as efficient as possible

• Escalating issues related to data, analyses, solution development and deployment to the relevant leaders immediately
  
  
  What You Will Need: Basic Qualifications:

• Experience with data manipulation, especially using tools like R, Python, SQL

• Ability to build machine learning models, especially through quick experimentation and iteration

• Ability to extract insights from data through analyses

• Ability to translate analytics into business insights

• Stakeholder management capabilities, including communication across global teams

• Experience with broad business problem-solving using advanced analytics (Data Science, Machine Learning, Artificial Intelligence)

• Hands-on experience in building models of advanced analytics, machine learning etc. outside just an academic space

• Hands-on experience with (EDA) Exploratory Data Analyses like univariate, bivariate, correlation, simple regression etc.

• Expertise in handling data including extraction, clean up, quality analysis, preparation for data science, ingestion, extraction of insights, creating benchmarks, answering simple business questions

• Hands-on experience with one or more of advanced analytics tools like SAS, R, Python

• Hands-on experience with one or more of reporting solutions like Tableau, Power BI, Qlik, Spotfire

• Should know the basic principles of modular solution design
  
  Bonus Skills:
  
  Experience working with remote teams, especially with teams spread out globally
  Experience in supply chain analytics or operational analytics in an industrial environment
  Hands on experience with data exploration tools and databases like SQL, HIVE, Oracle, Redshift, Alteryx, Hadoop, BigQuery etc.