Junior data analyst • springfield ma
We have a great opportunity for you to join one of our partner rapidly growing businesses, which works on social products in the field of video streaming.Applications, already in the top of their s... Show more
Onsite Flexibility: Hybrid Springfield preferred; remote considered for the right candidate.Work Authorization: Applicants must be authorized to work for ANY employer in the U.We are unable to spo... Show more
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The average salary range is between $ 46,800 and $ 82,474 year , with the average salary hovering around $ 57,500 year .
We have a great opportunity for you to join one of our partner rapidly growing businesses, which works on social products in the field of video streaming.
Applications, already in the top of their segment, are actively spreading around the world and have more than 10 million downloads. We implement advanced peer-to-peer audio and video communication technologies used in products like Telegram, WhatsApp, and Google Meet.
Products are actively growing, and so is our team. We are looking for a Marketing Analyst who will become a true analytical driver of the team.
What You Will Do: Be responsible for marketing analytics from start to insight; Cohort and funnel analysis: deep research of user behavior, Retention, LTV, CAC, and unit economics; A/B testing end-to-end: from experiment design to statistical validation and product recommendations; Analyze the effectiveness of Facebook, TikTok, Google Ads, Snapchat, ASA etc.; Strategic ad hoc research: help C-level and stakeholders make decisions based on data, not feelings.
What We Expect From You: 1+ year of experience in Data / Product / Marketing Analyst positions; Confident knowledge of SQL; Python for analysis: pandas, numpy, statsmodels; experience in automating pipelines; Experience with marketing metrics: CAC, LTV, ROAS, Retention, etc.
It will be an advantage: Experience with MMP; Experience with ML models (churn prediction, LTV forecasting); Mobile analytics (Amplitude, Mixpanel).
What We Offer: Hybrid work format in a new autonomous office with breakfasts, lunches, and snacks; 4 weeks of paid vacation per year and unlimited sick-leave days; Access to a corporate doctor and medical insurance; Compensation for English courses and training programs; Access to internal schools, training events, and over 1000 courses, lectures, and e-books on various topics.
If you are looking for an opportunity to work with complex analytical tasks, handle big data, this position is what you need! Send your CV :)
