The Business Intelligence Engineer will play a key role in the success of our overall data analytics strategy. You will be responsible for rapidly scaling our analytical capabilities with a focus on developing our machine learning and predictive analytics to deliver critical insights. You will work on company-wide standards around data consumption and visualization, and establish best practices with our cross functional partners including marketing, product and field organization. You will collaborate with data engineers, subject matter experts and strategy leads to define the evolution of our analytics platform.
The successful candidate will have a high degree of attention to detail, a relentless curiosity and possess a passion for creating innovative analysis to identify opportunities and surface new insights. Moreover, this person will excel at extracting insights from data and converting ideas into action - a data enthusiast, interested in learning more about emerging technologies like artificial intelligence and cognitive computing.
In addition to having solid analytics chops, you are a team player who is unafraid to challenge the status quo. You are passionate about developing best in class analytics solutions and thrive in a collaborative, dynamic work environment. If this excites you, we would love to hear from you!
Complete sales onboarding and familiarization with MuleSoft’s analytical tools
Meet key stakeholders and understand their analytics needs and operating rhythms
Develop a foundational understanding of our dimensional model, and how data is structured in Snowflake
Develop foundational understanding of ETL and data flows
Understand the unique features of MuleSoft’s business model, data, and KPIs
Understand Index and Search Engine for MuleSoft Help Center
Begin implementing process improvements to accelerate the pace of delivery for recurring deliverables
Partner with lead managers by identifying hotspots in the business and providing deep-dive analyses of performance data
Work with the data engineering team and different business functions to deliver large-scale analytics solutions
Support creation of advanced analytics models to drive our operations strategies
Ideate and develop high quality analytics products for the field leadership team
Work with Services and Support teams to optimize knowledge management and KCS within their respective community portals and case management systems - search optimization, knowledge asset metrics and reporting, enhanced customer experience and case deflection
Manage a portfolio of tools catering to various functions including Services, Support, and Product Teams.
Optimize current data collection and reporting processes to eliminate manual dependencies; Implement scalable and automated reporting solutions
Package and present recommendations to executive leadership through a combination of quantitative analysis and qualitative feedback
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Building key data sets to empower operational and exploratory analysis
Lead the data engineering strategy
Play a central role in the analytics team’s transition from descriptive analysis to predictive modeling
Provide guidance to junior analysts on the team about best practices in data management and visualization
Required Skills/ Experience
Bachelor’s degree required (Information Systems, Statistics, Mathematics, or other quantitative fields preferred)
5+ years experience working in business intelligence, analytics, data engineering, or a similar role
Ability to develop complex SQL queries required. Python/R scripting experience preferred
Strong understanding of statistical modeling techniques required ( regression, hypothesis testing, classification methods etc.)
Experience working with and deriving insights from large data sets
Solid foundation in schema design and dimensional data modeling preferred (facts, dimensions, star schema etc.)
Proficient using data visualization tools such as Tableau to build out intuitive & scalable dashboards
Ability to work with different technical and business stakeholders across functional field teams to understand and deliver against their data needs
Exceptional communication skills; ability to simplify and present complex analytical concepts to an executive audience.
High-level business-fluency in English
Experience with Coveo Search / ML optimization
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