Big Data Engineer, Data Analysis

Remote job description is the mobile standard and the trusted source for the digital economy. Our vision is to be the first Unified Data AI company that combines consumer and market data to provide insights powered by artificial intelligence. We passionately serve enterprise clients to create winning digital experiences for their customers.

We care deeply about our high-performance culture and operate as a global team. We have set excellence as our standard, hold each other accountable, continuously push innovation and win with style.

What can you tell your friends when they ask you what you do?

"As a Data Analyst at, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride."

You will be responsible and take pride in...

As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:
  • Take full responsibility for core intelligence data quality
  • Deep understanding of the data structure and relationship in a large, complex dataset
  • Own the data monitoring activities and develop automated and reusable quality monitoring and improvement solutions to secure our daily data quality
  • Work at the front line to troubleshoot quickly and efficiently when an issue arises
  • Identify and implement improvements to monitoring and data quality control
  • Perform in-depth analysis of the product quality and provide strong support to the stakeholders such as product managers and data scientists
  • Understand the end-to-end data pipeline and the methodology and improve it together with data scientists and the data modeling team
  • Handle client queries and ad-hoc requests from external teams to keep trust in our data quality
You should recognize yourself in the following...
  • 2+ years of working experience in data quality or data analysis
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience
  • Experience with Databricks environment
  • Proficient in SQL, Python, R, or similar data analytic tools
  • Experience in statistical measurement design, quantitative data analysis, data query, data processing, and visualization
  • Experience in Big Data or BI solutions is a big plus
  • Excellent problem-solving skills including analyzing problems and stories hidden by huge amounts of data
  • Being flexible to multitask and reprioritize tasks quickly based on the project needs
  • An ability to work both independently and as part of a remote team to locate the root cause and come up with solutions
  • Strong presentation and communication skills. Feel comfortable explaining the issues and solutions from analysis to the stakeholders from a wide variety of backgrounds, e.g. product managers, data scientists, and engineering, etc.
  • Self-motivated and strong ownership. Be sensitive about any potential issues inside the production dataset
  • Great sense of accountability and attention to detail to proactively respond to troubleshooting
  • You're an app fanatic, positively curious, and a technology enthusiast
  • Becoming better at what you do every day
This position is located in Hyderabad, India. are in the process of establishing an entity in India, in the interim the employees will be on the rolls of our Global Employer of Record, Innova Solutions

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Company name:
Remote job title: Big Data Engineer, Data Analysis
Job tags: data-processing, analytics, Rlang
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    39 days ago

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