Position: Data Analyst
Company: Sourceter
Category: Data Analyst
Experience required: 3y
English level: upper

We are seeking a skilled Data Analyst to join our team. This position offers the flexibility to work part-time (20-30 hours per week) up to full-time (40 hours per week). As a Data Analyst, you will be involved in several short-term projects, which will be executed consecutively.

Responsibilities:

    Analyze complex data sets to extract meaningful insights and trends.
    Develop and implement data-driven solutions to optimize business processes.
    Collaborate with cross-functional teams to identify and address data-related challenges.
    Create clear and concise reports and visualizations to communicate findings to stakeholders.
    Utilize statistical techniques and predictive modeling to enhance data analysis efforts.
    Maintain data integrity and accuracy throughout all stages of analysis.
    Identify opportunities for process improvement and propose data-driven solutions.
    Stay updated with industry trends and best practices in data analysis.

Requirements:

    3-4 years of experience working as a Data Analyst in international companies, demonstrating a strong track record of delivering high-quality results.
    Proficiency in Python, R, and scripts for data analysis and manipulation.
    Excellent English language, both written and verbal, to effectively communicate insights and collaborate with international teams.
    Experience with cloud platforms such as AWS or Azure
    Strong analytical and problem-solving skills, with the ability to think critically and make data-driven decisions.
    Experience working with large datasets and applying statistical techniques for data analysis.
    Familiarity with data visualization tools and techniques to present findings in a clear and visually appealing manner.
    Strong attention to detail and a commitment to maintaining data accuracy and integrity.
    Ability to manage multiple projects simultaneously and prioritize tasks effectively.
    Strong interpersonal and communication skills to work collaboratively with team members and stakeholders.
    Ability to work independently without constant supervision, while still being an effective team player.
    Proven ability to provide accurate estimations for the defined scope of work and deliver projects within deadlines.
    Flexibility with working hours to accommodate project requirements and deadlines.

Nice to have:

    Knowledge of Hadoop or similar distributed data processing frameworks (e.g., Apache Spark).
    Familiarity with Kafka or similar distributed event streaming platforms (e.g., Apache Pulsar).
    Experience with Java or C++ programming languages.
    Understanding of other distributed data technologies, such as Apache Flink or Apache Cassandra, is a plus.
    Knowledge of messaging systems like RabbitMQ or Apache ActiveMQ is beneficial.

Interview stages:

    HR interview
    Technical interview
    Management interview

What we Offer:

    Competitive market salary
    Flexible working hours
    Team of professionals who knows how to build world-class products
    Wide range of cool opportunities for professional and personal growth

If you meet the above requirements and are passionate about data analysis, we would love to hear from you. Please submit your resume and any relevant work samples (GitHub) for consideration.