Senior Business Intelligence Engineer

Senior Business Intelligence Engineer at Proxify

About us:Talent has no borders. Proxify's mission is to connect top developers around the world with opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfil their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role:We are looking for a Senior Business Intelligence Engineer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

What we’re looking for:

• Minimum of 5 years of experience in business intelligence or data analytics.
• Extensive hands-on experience with Tableau for data visualisation, including advanced features such as calculated fields, parameters, and complex dashboards.
• Strong SQL skills and experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
• Proficiency in data modelling concepts and best practices to enable efficient reporting and analysis.
• Strong analytical and problem-solving abilities, with the capacity to translate complex data into actionable insights.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

Nice-to-have skills:

• Experience with other BI tools such as Power BI or Looker.
• Knowledge of ETL processes and tools (e.g., DBT, Airflow) for managing data flows.
• Familiarity with statistical analysis and Python or R for data analysis.
• Experience with data governance frameworks and data quality best practices.
• Certifications in Tableau (e.g., Tableau Desktop Specialist or Certified Professional) or relevant data analytics tools.

Responsibilities:

• Design, develop, and maintain advanced, interactive Tableau dashboards and reports that provide insight into business performance.
• Work closely with data engineers and analysts to define, model, and transform data to support reporting and visualisation needs.
• Perform in-depth data analysis to uncover trends, opportunities, and areas for improvement across various business functions.
• Partner with stakeholders to understand reporting requirements and deliver solutions that align with business objectives.
• Continuously optimise and enhance Tableau dashboards for performance, scalability, and ease of use.
• Ensure data accuracy, consistency, and reliability by implementing best practices for data validation, testing, and quality control.
• Create and maintain documentation for dashboards, data models, and data sources to enable a seamless handoff and collaboration with team members.

What we offer:

• Get paid, not playedNo more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.
• Predictable project hoursEnjoy a harmonious work-life balance with consistent 8-hour working days with clients.
• Flex days, so you can rechargeEnjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
• Career-accelerating positions at cutting-edge companiesDiscover exclusive long-term remote positions at the world's most exciting companies.
• Hand-picked opportunities, just for youSkip the typical recruitment roadblocks and biases with personally matched positions.
• One seamless process, multiple opportunitiesA one-time contracting process for endless opportunities, with no extra assessments.
• CompensationEnjoy the same pay, every month with positions landed through Proxify.

Key skills/competency

• Business Intelligence
• Data Analytics
• Tableau
• SQL
• Data Warehousing
• Data Modeling
• ETL Processes
• Data Visualization
• Stakeholder Management
• Data Quality