Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная junior-позиция в продуктовой компании с современным стеком и хорошими условиями для обучения; основной компромисс - широкий набор задач от аналитики до моделей и качества данных.
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Широкий круг задачСовременный стекПоддержка развития36 дней отпуска
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Quality Analyst (Short-Term Rental Data): Analyzing short-term rental pricing and occupancy datasets, predictive models, and new data sources with an accent on data accuracy, validation, and market behavior. Focus on exploratory analysis, model monitoring, data quality improvements, and communicating data-driven pricing insights to technical and non-technical stakeholders.
Location: Barcelona, Spain; hybrid workplace; standard working hours from 11 am to 7 pm
Salary: €30,000–€33,000 annually
Company
hirify.global provides short-term rental data and software that help hosts, real estate firms, and property operators make investment, pricing, and operational decisions across global markets.
What you will do
Conduct exploratory data analysis on short-term rental pricing and occupancy datasets to identify patterns, trends, and outliers.
Collaborate with domain experts to understand factors influencing pricing and occupancy dynamics in the short-term rental market.
Analyze predictive models and adapt them to changing market conditions and business requirements.
Collaborate with data engineering teams to integrate new data sources and maintain data quality for modeling.
Work with product managers, engineers, and business analysts to implement pricing strategies based on data-driven insights.
Build monitoring systems, identify model issues or deviations, and communicate findings to technical and non-technical stakeholders.
Requirements
At least 1 year of professional experience working with data, with a focus on software development and advanced analytics.
Full proficiency in English, both verbal and written.
Proficiency with SQL and Python, including pandas, datetime, numpy, dictionaries, and packages.
Experience working with large datasets in distributed systems such as Snowflake.
Excellent communication skills, a data-driven approach, critical thinking, attention to detail, flexibility, time management, and a learning mindset.
Comfort working with data validation, models, and data architecture.
Nice to have
Experience designing, developing, and deploying software solutions powered by data science and analytics.
Experience with Python data manipulation and analysis libraries such as Pandas, Scikit-learn, XGBoost, PyTorch, or TensorFlow.
Culture & Benefits
Indefinite employment contract and eligibility for a discretionary annual company bonus.
36 holidays per year, continuing education stipend, and an individual growth plan.
€150 monthly Cobee card allowance for public transport, daycare, pension plans, restaurants, and health insurance.
Health insurance with Sanitas, including vision and dental coverage, plus language lessons through Preply.
International team, bottom-up management, team-building events, and a dog-friendly office with terraces.
Hiring process
Virtual 30-minute interview with the People Team.
Online 45-minute meeting with the Hiring Manager.
Final 1.5-hour technical review and peer meeting, followed by reference and employment verification after the offer and before employment.
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