Tredence is the rst analytics services company focused on the last mile of analytics adoption. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create white-box solutions that are typically transitioned to our clients at the end of the engagement in a sustainable way. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets.

We also come in with some strong IP and pre-built solutions/ frameworks in mobile, data mining and BI. Our high-growth record since inception has helped us gain recognition in Inc. 5000 for last 3 consecutive years as one of the fastest growing analytics companies in the US. Silicon Valley Business Journal ranked us 5th among the fastest growing private companies in Silicon Valley in 2018. We were also named - Bootstrap Champs- at the Economic Times Start-up Awards, 2018.

To know more about Tredence, visit: http://www.tredence.com.

Roles and Responsibilities:

You will:

- Be part of team that solves business problems which involve :  

- Brainstorm with clients and internal teams to define a problem

- Translate the business problem into an analytical problem

- Solve the analytical problem using combination of Technology, Math and Domain knowledge

You can expect to:

- Be trained, guided and mentored to build a career in analytics

- Use a combination of Technology (70%), Math (20%) and domain knowledge (10%) to solve real world business problem

You have:

- At least 2 years of work experience

- Proficiency in SQL/Hive [must have]:

- Handling and analysing large data

- Data cleaning and processing

 Good experience of:

- Basic operations: Joins, Union, table properties

- Windows function: rank, partition by

- Parametrizing query

- Optimized table format

- Query optimization parameters

- Hadoop query optimization

- My-SQL query optimization

Nice to have:

- R (Basic data manipulation, DPLYR, GGplot, Random forest)

- Python (Basic data manipulation using pandas, matplotlib, sklearn)

- Hadoop, spark

- Tableau

- Excellent communication skills

- Collaborative mindset to work with clients and internal teams

- Motivation to learn constantly

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