Senior Analytics Developer

Senior Analytics Developer

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Job area Software House Location Pune I, India. Contract type Full time
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The D&A organization is working on building the new data platform to help business get the right insights. For the same, the India D&A team also needs to grow to support this

The Analytics Developer is part of a multidisciplinary DevOps team that is responsible for all aspects related to the Analytics solutions they create. An Analytics Developer is part Data Engineer, part Data Scientist and part Data Analyst and even though they have an area of expertise, can fulfil each of those roles up to a point. On a day-to-day basis an Analytics developer implements methods to improve data reliability and quality, combining raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. If required, they then continue to analyse, interpret and visualize that data in order to enable business process optimization and fact-based decision making.

Responsibilities:

Build infrastructure to collect (un)structured (big) data

Design, develop, test, deploy and maintain data pipelines

Integrate data pipelines and reports in testing frameworks

Monitor data pipeline stability and provide support

Share knowledge and stay on top of latest developments

Use SQL, R, or Python to retrieve and manipulate data

Perform analysis to assess quality and meaning of data

Create/maintain visualizations in Tableau, Qlik or Power BI

Liaise with internal stakeholders and/or external clients

Realize automation of own solutions

Optimize processes and tooling

Manage and maintain (cloud) data platforms

Use DevOps to Manage testing and release of data solutions

Identify opportunities to increase efficiency or automate

Qualification:

  • Bachelor’s, Master’s degree or PhD in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Operations Research, (Cognitive) Artificial Intelligence or related/comparable field

Key Competencies:

  • Tech savvy
  • Action oriented
  • Collaborates
  • Courage
  • Demonstrates self-awareness
  • Self-development
  • Participate in continuous improvements and UAT
  • Resourcefulness
  • Collaborates
  • Values differences
  • Situational adaptability
  • Demonstrates self-awareness

Other skills:

  • Excellent communication
  • Knowledge of Agile methodologies
  • Initiate improvements in discussion with lead/Manager Data Analytics.

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