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Sr Analyst, Data Analytics

Sr Analyst, Data Analytics

Xoom

3 - 5 years

8 - 12 Lacs

chennai bengaluru

Posted:5 days ago| Platform:

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Skills Required

unix computer science data analysis machine learning wellness digital marketing continuous improvement analytics recruitment sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

In this role, you will be responsible for executing on complex, ambiguous, and high-visibility business challenges. You will leverage data and analytics to deliver accurate, action-driving recommendations. This is an individual contributor role with significant potential for career growth.

Job Description

Essential Responsibilities

Analyze complex data sets to provide insights.
Collaborate with stakeholders to understand their data needs.
Deliver actionable recommendations based on data analysis.
Ensure data accuracy and integrity in all analysis processes.
Present findings to senior leadership.
Drive continuous improvement in data analysis practices.

Minimum Qualifications

Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience.

Preferred Qualification

Academic Qualification

Undergraduate degree in a quantitative (such as Applied Mathematics, Statistics, Engineering or Computer Science) field required and 5+ years related professional experience or Graduate degree in a quantitative field and 3 + years of professional experience

Must-have skills

Proficiency in languages used for querying ( e.g. SQL/Hive/Pig), preprocessing ( e.g. Unix/Python), and statistical analysis ( e.g. Python/R)

Strong data visualization skills with tools such as Tableau and Looker with a lot of attention to granular details in data

Good verbal and written communication skills to express data science concepts and solutions to business partners of varying technical levels and other members of the broader analytics and data science community at PayPal, to influence and negotiate to reach alignment on how to execute strategies and improve solutions.

Nice-to-have

Experience with machine learning algorithms and statistical methods

Knowledge about Digital Marketing, Ad Tech, MarTech , E-commerce, FinTech, Finance and Payments industries is a strong plus

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