Profitora

Business Intelligence Engineer

This person will mentor a team of BIE’s and Data Engineer’s, work with stakeholders to create a roadmap for developing self-service solutions to help us better understand our customers through segmentation and cohort analysis. You will empower data driven decision making through implementing principles of data mining, data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders. In addition to leading analytical tools and reporting, you will provide thought leadership and business analysis support as needed. This role requires you to be able to influence senior leaders of all levels in tech and non-tech.

The primary responsibilities of this role include:

  • Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
  • Use analytical and statistical rigor to solve complex problems and drive business decisions.
  • Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle), and learn and understand a broad range of data resources and know how, when, and which to use and which not to use
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

BASIC QUALIFICATIONS

  • BA/BS in Computer Science, Engineering, Mathematics or related field
  • Demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
  • Extensive years of relevant work experience in a role requiring application of analytic skills to integrate data into operational/business planning or advanced degree
  • Advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools.
  • Experience with Databases like Redshift, Teradata, Oracle.
  • Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
  • Knowledge of data management fundamentals and data storage principles

PREFERRED QUALIFICATIONS

  • Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
  • Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
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