Senior Business Intelligence Engineer

Overview

Senior Business Intelligence Engineer - Job DescriptionThis position involves designing and delivering enterprise BI and analytics solutions,developing and maintaining data pipelines, and promoting self-service analytics acrossthe enterprise. Your mission will be enabling and empowering the business to be moreefficient with data and champion data driven decision making. You’ll be a mentor toothers on the team and across the business, encouraging them to be flexible, proactive,and solution focused. Through a consultative approach, you will be a trusted partnerthroughout the company to advise on improving outcomes with robust analytics.We value open and honest communication, and we strive to create a positive and funteam-based environment. We want teammates that challenge themselves, as well asthose around them to create high quality analytical products and services.

Responsibilities

• Design, create and implement comprehensive BI and analytics solutions, andencourage the adoption of self-service analytics throughout the organization• Develop, maintain, and support modern data pipelines while staying informedon data analytics trends and following industry best practices for datawarehousing, ETL, ELT, and data analytics• Design and build data solutions and reporting needs with customers andstakeholders. Coordinate with vendors to meet company standards and needs• Ensure the team designs, builds, tests, and maintains solutions for datatransformation from a variety of data sources while modeling data in an efficientand performant manner• Document solutions, metadata, and processes to the required companystandard• Assist in problem management and root cause analysis• Guide the team to develop and maintain Enterprise Data Lakehouse• Partner with cross-functional Enterprise Data Management and Data Scienceteams to understand analytic requirements and build efficient and scalable datasolutions• Build data expertise and employ best practices in engineering and analytics:data quality, test designs, code reviews, documentation, continuous integration,and continuous delivery• Work with team and product owners to prioritize and estimate effort• Participate in agile ceremonies, including planning, pointing, demos, and retros.• Assist with the DataOps delivery pipeline and processes• Mentor other analysts and data engineers, encouraging flexibility, proactivity,and solution-focused approaches• Participate in architectural design decisions and communicate those to yourteam

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Applied Mathematics, Business, or a related field• 5+ years of experience in Business Intelligence, Data Engineering, or analytics• Strong knowledge of data visualization tools and SQL• Strong knowledge of data transformation tools and techniques• Experience building and designing BI semantic models in SSAS tabular with deep knowledge of dimensional modeling (e.g. Ralph Kimballmethodologies/Star Schema)• Experience with modern data science languages and tools. Experience with data pipeline tools such as Azure Data Factory (ADF preferred) or Databricks workflows• Experience with data engineering for machine learning consumption• Experience with Azure cloud and Python for data transformation• Strong interpersonal communication skills and a collaborative, team-centric approach• Comfortable using work management tools such as Jira or Azure DevOps• Experience using version control such as Git, TFS, or SVN• Understanding of web services and other Application Programming Interfaces  Preferences:• Experience developing and operationalizing data pipelines for consumption in machine learning solutions within Databricks• Familiarity with agile methodologies and practices• Ability to mentor and lead junior team members• Strong consultative approach to problem-solving #LI-AN1

Pay Range

USD $130,000.00 - USD $160,000.00 /Yr.