PROPELLER ADS PRIVATE LIMITED | Hiring | Data Analyst | Bangalore/Bengaluru | BigDataKB.com | 2022-09-28

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Job Location: Bangalore/Bengaluru

Hello, world!

The Product Analytics team at PropellerAds is the essential link between the commercial and product departments – we solve a variety of analytical tasks that have a direct impact on decision-making in the company.

With us, you will work on the product together with development teams and influence its growth and promotion through sales and marketing.

You will get the opportunity not only to explore a variety of hypotheses but also to create and automate problem-solving using Machine Learning models.

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Your tasks would be:

– Work on the development of the PropellerAds product: conduct exploratory analysis – put forward hypotheses, select metrics, and conduct research and experiments necessary for the implementation of product changes;

– Develop churn prediction models, recommend customer products, conduct user behavior analytics;

– Identify patterns of use of the system and opportunities for growth;

– Design, run and analyse AB test results;

– Develop tools for marketing analytics: build acquisition funnels and segment users; combine web analytics and internal storage data to evaluate marketing effectiveness; perform cohort analysis.

– Develop regular reporting tools: customer scoring; operational reports on the effectiveness of different areas of PropellerAds.

– Collect requirements and present the results of complex research in an accessible language that is understandable to business.

Who are we looking for:

– You know SQL well and have experience with BI systems (Tableau, Qlik, Power BI);

– You know Python – you can get and process data, conduct analytics in Jupyter and visualise results using popular libraries;

– You have sufficient knowledge of mathematical statistics to design and interpret A/B tests;

– Experience in using simple ML models (linear, decision trees) will be a plus;

– You have at least 2 years of experience in product or marketing analytics;

– Basic knowledge of Airflow DAG;

– Experience in writing technical specifications for BI.

Apply Here

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