Business Intelligence Solutions Developer

1 week ago


Santa Monica, California, United States EQ Office Full time
About EQ Office

EQ Office is a leading provider of office space solutions, with a portfolio of over 20 million square feet across major US markets. Our team of experts is dedicated to creating inspiring workplace destinations that blend the best of work, home, and hospitality.

Our culture is centered around OneTeam, a set of principles that guide our behavior and decision-making. These principles include:

  • Kindness, Respect and Trust
  • Merit
  • Accountability
  • Integrity
  • Essential Transparency
  • Never be Complacent
  • Work Hard and Have Fun
Job Summary

The Business Intelligence Solutions Developer will design, develop, and support business intelligence solutions that turn data into actionable insights. This role will collaborate with internal stakeholders to gather business needs and translate them into specifications and actionable data requests.

Key Responsibilities
  • Collaborate with internal stakeholders to gather business needs and translate them into specifications and actionable data requests
  • Develop detailed requirements documentation, including user stories, design specifications, data flows, and acceptance criteria
  • Lead data architecture efforts to structure, integrate, govern, store, describe, model, and maintain data in the enterprise for optimal accuracy and usage
  • Design, develop, and maintain data models and scalable, automated reports, dashboards, visualizations, etc., that will support our analytical and business needs
  • Optimize performance of data queries and processes to ensure efficient data retrieval and processing
  • Ensure data quality and integrity by implementing data validation and monitoring processes
  • Extract, transform, load, and maintain data from various sources in the data warehouse
  • Create and handle complex SQL queries and views including those used in ETL scripts or transformations using DBT
  • Establish and maintain standard processes for the design, development, and support of BI solutions
  • Process, clean, and validate the integrity of data to be used for analysis
  • Respond and resolve operational problems as necessary. Document, troubleshoot, and resolve day-to-day data issues
Core Competencies
  • Resourcefulness: Accesses resources effectively and quickly to get things done; arranges information and files in a useful manner; is detail-oriented
  • Attention to Detail: Thoroughness and precision in analyzing data, preparing reports, and executing transactions accurately
  • Time Management: Strong organizational skills and the ability to manage multiple tasks and priorities efficiently, meeting deadlines in a fast-paced environment
  • Problem Solving: Aptitude for identifying complex problems, formulating creative solutions, and making sound decisions under pressure
Technical Competencies
  • Experience with relational and dimensional database modelling (Relational, Kimball, Data Vault)
  • Strong experience designing and deploying full stack data analytics platforms including the use of cloud-based data warehouse technologies and data visualization tools such as PowerBI and Tableau
  • In-depth understanding of database management systems, online analytical processing (OLAP & ETL (Extract, transform, load) frameworks, Databricks, Delta Lake
  • Experience with Microsoft Azure Data Integration Stack and related cloud services (Azure Data Lake Gen2, Azure Data Factory, SSIS, Azure SQL Server)
  • Proficiency in SQL and experience with relational databases (e.g., SQL Server, MySQL PostgreSQL)
  • Experience with ETL tools (e.g., DBT, Apache Airflow, Talend, Informatica)
  • Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, ETC)
  • Strong programming skills in languages such as Python, Java, or Scala
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP)
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Sigma) and BI concepts
  • Familiarity with LLMs (e.g., GPT 3.5, 4.0, Gemini, Microsoft Co-Pilot etc)
  • Excellent technical documentation and writing skills, and have published API documentation or similar
  • Experience with visual modelling tools including UML
Preferred Qualifications
  • Bachelor's degree in Computer Science, Engineering or related field
  • Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer Associate)
  • Must be willing to travel 20% of time
Compensation and Benefits

The base salary range for this position is $145,000 - $185,000. The company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

The company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics.



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