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Data Analyst
Data

Data Analyst

Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote

Tech stack

    ETL

    regular

    Snowflake

    regular

    PowerBi

    regular

    SQL

    regular

    Python

    regular

    Tableau

    nice to have

Job description

Online interview

Key Responsibilities:


Data Analysis and Reporting:

  • Analyze large and complex datasets to extract meaningful insights that support business decision-making.
  • Develop, maintain, and enhance Power BI dashboards and reports to visualize data trends and patterns.
  • Collaborate with business stakeholders to understand their data needs and deliver solutions that drive strategic initiatives.

Data Management and ETL:

  • Design, implement, and manage ETL processes to efficiently ingest, transform, and store data in Snowflake.
  • Ensure data accuracy, integrity, and security within the data warehouse.
  • Optimize data pipelines for performance and scalability, incorporating best practices in data engineering.
  • SQL and Python Programming:
  • Write and optimize complex SQL queries to retrieve and manipulate data from various sources.
  • Use Python for data analysis, automation, and to develop custom scripts for data processing.
  • Implement data quality checks and validations to ensure the reliability of data outputs.

Cloud and Data Infrastructure:

  • Utilize AWS cloud services to manage and store large datasets, ensuring efficient data access and processing.
  • Work with cloud-based tools and services to support data analytics and business intelligence activities.
  • Monitor and troubleshoot issues related to data infrastructure, ensuring smooth operations.


Qualifications:


Experience:

  • 5+ years of experience in a data analyst or similar role, with a focus on data visualization and analytics.
  • Proven experience with Snowflake and Power BI for data management and visualization.
  • Strong experience with SQL for querying and data manipulation.
  • Hands-on experience with Python for data analysis and automation.
  • Experience working with AWS cloud services (e.g., S3, Redshift, EC2) and understanding of cloud-based data solutions.


Skills:

  • Proficiency in ETL processes and tools, with a strong understanding of data integration best practices.
  • Advanced Excel skills for data analysis and reporting.
  • Knowledge of data modeling, data warehousing concepts, and relational databases.
  • Familiarity with other BI tools (e.g., Tableau, QlikView) is a plus.


Our offer:

  • B2B via Experis
  • Sport Card
  • Life insurance
  • Private Health insurance
  • 100% Remote