Senior Data Analyst/ Product Analyst (Remote, to Canada/USA)

☑ Основной блок:

Опыт работы: 3–6 лет.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: от 4000 до 6000 USD.

Примерное место работы: Россия, Москва.

☑ Актуальность объявления:

Это объявление № 23849838 добавлено в базу данных: Пятница, 28 февраля 2025 года.

Дата его обновления на этом интернет-ресурсе: Воскресенье, 16 марта 2025 года.

☑ Репутация компании "Truv Inc.":

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☑ Подробности о вакантном месте:

The Company you’ll Join

Citadel is a US-based startup that helps companies verify income and employment of users who apply for a job or a loan.

Current alternatives are either waiting for 5-7 days to verify over a phone or pay up to $100 for an API call. Citadel provides a solution to this problem.

We already saved our clients millions of dollars and millions of hours for people who're used to fill out forms and upload paystubs.

Imagine applying for a loan or verifying your job history with a click of a button. That's what Citadel is empowering.

The Team You’ll Work With

We're a small but mighty team of engineers, product managers, and business folks who built and launched products at Apple, Uber, Facebook, Carta, Venmo, Telegram, Plaid, Yandex, Mail, ivi. We're well funded by US-based top VC funds.

We like to nerd out about using the cutting-edge tech and building frictionless user experiences. We love crafting great products and see our users delighted by what we build.

We're a distributed team with no plans to start an office anytime soon. We don't really care where you are, but we care a lot about who you are. If you like solving customer pain points, helping your team members excel at what they do, being part of a community, and care about quality, you'll fit in.

What You’ll Do

• Define, report, and monitor key performance indicators of product areas, and lead deep dives into variations of critical metrics from normal behavior
• Use Python and write SQL queries to improve data pipeline and generate reports
• Build data visualizations using Metabase and Jupyter notebooks as a method of conveying data insights
• Help engineering teams set up tests and perform statistical analysis of experiments
• Convert analytical insights into concrete, meaningful recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership

About You

• 5+ years experience in analytics, consumer-facing product experience preferred
• Experienced statistician with a track record of setting up and optimizing metrics tracking systems and A/B testing methodologies
• Experience with building and maintaining data pipelines, ensuring data integrity
• Proficient at both SQL and Python
• A track record of leading cross-functional initiatives

Preferred:

• Experience with DAG orchestrators (eg. Airflow)
• Consumer-facing product experience

What else?

• You can choose your own laptop. After 2 years of work in the company, the laptop is yours
• Possible relocation to USA or UK
• You can get equity

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