- The Data Analyst will lead and perform complex analysis in an evolving data environment. In addition to very strong technical skills, this position will have super business process analysis and interpersonal skills. The ability to extract and analyse data, patterns, and related trends is needed, with the subsequent ability to synthesize the data into information consumable by senior business decision-makers.

- Should be able to work with large amounts of data: facts, figures, and number crunching. Should be able to see through the data and analyse it to find conclusions.

- Would be called in to present their findings, or translate the data into an understandable document. Will need to write and speak clearly, easily communicating complex ideas.

- Will need to look at the numbers, trends, and data and come to new conclusions based on the findings. And share Root Cause of the data. Focus on solutions, dive into projects, quickly identify drivers in the data

- Need to make sure they are vigilant in their analysis to come to correct conclusions.

- Needs math skills to estimate numerical data.

- Establishes quality and reliability standards by studying product with other members of management and with production operators.

- Establishes product quality documentation system by writing and updating quality assurance procedures.

- Should be able to work on SQ, Python, and R.

- Should have prior experience in Data Scraping, Web-scraping, and Web Content Management.

- Maintains product quality by enforcing quality assurance policies and procedures and government requirements;

- Have Project management experience and should have managed programs on Web Data management.

- Following up on work results with Vendors for driving data projects in the online Data Quality lifecycle.

- Contributes to team effort by accomplishing related results as needed.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.