Senior Specialist - Business Intelligence

Job Description

The Opportunity

Key Responsibilities

• Design, build, and maintain interactive dashboards and reports that track key business and operational KPIs across departments.
• Partner with business stakeholders to gather requirements, define metrics, and translate business questions into analytical solutions.
• Develop and maintain robust data models, semantic layers, and ETL/ELT pipelines that feed BI tools from multiple source systems.
• Conduct in-depth ad hoc analysis to investigate business performance trends, anomalies, and opportunities for improvement.
• Ensure data accuracy, consistency, and governance across BI reports, collaborating with data engineering teams on data quality issues.
• Present findings and recommendations clearly to both technical and non-technical audiences, including senior leadership.
• Establish and document BI best practices, naming conventions, and reporting standards to ensure consistency across the organization.
• Mentor junior analysts and business users on self-service BI tools and best practices.
• Monitor and optimize the performance of BI dashboards and underlying queries.
• Stay current with emerging BI tools, visualization techniques, and industry best practices, recommending improvements where relevant.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Requirements

• 5+ years of experience in business intelligence, data analytics, or reporting roles, with a track record of delivering BI solutions that drive business decisions.
• Bachelor's degree in Computer Science, Statistics, Business Analytics, Management Information Systems, or a related field.
• Strong hands-on experience with BI and visualization tools such as Power BI, Tableau, or Qlik.
• Advanced proficiency in SQL, with experience designing data models (star/snowflake schemas) for analytical workloads.
• Experience working with relational databases and modern data warehouses (e.g., PostgreSQL, Snowflake, BigQuery, ClickHouse).
• Experience with ETL/ELT tools and scripting languages (e.g., Python) for data preparation and automation is a strong plus.
• Experience working in agile environments and collaborating with cross-functional stakeholders, including senior business leaders.

Skills

• Strong business acumen with the ability to connect data insights to business outcomes.
• Excellent data storytelling and data visualization skills, with attention to clarity and accuracy.
• Strong analytical and problem-solving skills, with high attention to detail.
• Excellent communication and presentation skills, able to explain technical concepts to non-technical stakeholders.
• Experience with data governance, security, and access-control principles in a BI context.
• Self-motivated, with the ability to manage multiple priorities and work independently with minimal supervision.