Data analytics jobs in Pune

We, at Turing, are looking for data analytics experts who will compile actionable insights from large data sets and assist program, sales, and marketing managers in making data-driven decisions. Apply for the best data analytics jobs in Pune and grow with the best minds while working with leading US firms.

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Job description

Job responsibilities

  • Ensure a smooth flow of data from source to destination
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets
  • Ensure a smooth flow of data from source to destination
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets
  • Identify new internal and external data sources to support analytics initiatives
  • Work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive tasks
  • Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Statistics, Math, Economics, (or equivalent experience)
  • 3+ years of experience in data analysis (rare exceptions for highly skilled developers)
  • Proficiency in programming high-level languages and tools like - SQL, Oracle, R, MATLAB, Python, JavaScript, XML, ETL, etc.
  • Bachelor’s/Master’s degree in Computer Science, Statistics, Math, Economics, (or equivalent experience)
  • 3+ years of experience in data analysis (rare exceptions for highly skilled developers)
  • Proficiency in programming high-level languages and tools like - SQL, Oracle, R, MATLAB, Python, JavaScript, XML, ETL, etc.
  • Experience working with data mining, data models, segmentation techniques, database design development, text analytics, and social media analytics
  • Fluent with standard statistical techniques logistic regression, classification models, cluster analysis, neural networks, random forests, ensembles, etc.
  • Knowledge of reporting packages like Business Objects, programming with JavaScript, XML, or ETL frameworks, and databases
  • Hands-on expertise with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing
  • Solid understanding of data visualization tools like Power BI, DAX, Tableau, etc.
  • Proficient in tools such as Apache Spark, ELK stack, Apache Airflow, Hadoop Ecosystem, Apache Kafka, or Amazon Redshift
  • Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiar with ML algorithms, algorithmic foundations of optimization
  • Knowledge of Data Lake and Azure SQL
  • Ability to explain technical topics to technical/non-technical stakeholders/clients
  • Familiar with ML algorithms, algorithmic foundations of optimization
  • Knowledge of Data Lake and Azure SQL
  • Ability to explain technical topics to technical/non-technical stakeholders/clients
  • Excellent problem solving and debugging skills
  • Strong analytical skills with accuracy and attention to detail
  • Good verbal and written communication skills

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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