Senior Data Analyst

SkillRecruit; Amsterdam; On-site; EUR 45,000 - 80,000; Full time

Job summary

An innovative firm is seeking a Data Analyst to step into the role of Associate Technical Architect. This position involves collecting and interpreting data from various sources, with a strong emphasis on maintaining the integrity and security of sensitive legal information. You will leverage your expertise in Hadoop and SQL to analyze large datasets and collaborate with cross-functional teams to ensure data compliance. This is a fantastic opportunity to contribute to meaningful projects in a dynamic environment where your analytical skills will drive impactful insights.

Qualifications

• Strong understanding of Hadoop and SQL for data retrieval.
• Experience with Hive and big data technologies.

Responsibilities

• Collect and analyze legal data from various source tables.
• Write and optimize SQL queries for efficient data retrieval.

Skills

Hadoop system architecture

SQL

Hive

Data analysis

Collaboration

Tools

Hadoop

Hive

Job description

Job Title: Associate Technical Architect (Data Analyst)

Location: Amsterdam, Netherlands

Contract Type: 1-Year Fixed Term Employment (FTE)

We are looking for a Data Analyst to join our team as an Associate Technical Architect. In this role, you will be responsible for collecting, analyzing, and interpreting data from multiple source tables, with a focus on ensuring the integrity and security of sensitive legal data.

Key Responsibilities:

• Collect, analyze, and interpret legal data from various source tables.
• Write and optimize SQL queries for efficient data retrieval and analysis.
• Work closely with the development and security teams to check sensitive data as requested.
• Utilize Hadoop and Hive to analyze large datasets and generate actionable insights.
• Assist in ensuring data accuracy and security compliance within the organization.

Required Skills:

• Strong understanding of Hadoop system architecture and data processing.
• Expertise in SQL for writing and optimizing queries to retrieve and analyze data.
• Experience with Hive and big data technologies.
• Familiarity with working on tables in databases and performing data analysis.
• Ability to work collaboratively with cross-functional teams, especially development and security.

Preferred Qualifications:

• Prior experience working with sensitive legal or personal data.
• Good communication skills for collaborating with different teams and reporting findings.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology and Other

Industries

Travel Arrangements