Business Intelligence and Search Expert Engineer

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!

 

Position deliverables

30 days 

    Complete sales onboarding and familiarization with MuleSoft’s analytical tools Meet key stakeholders and understand their analytics needs and operating rhythmsDevelop a foundational understanding of our dimensional model, and how data is structured in SnowflakeDevelop foundational understanding of ETL and data flows

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

60 days 

    Understand the unique features of MuleSoft’s business model, data, and KPIs Understand Index and Search Engine for MuleSoft Help CenterBegin implementing process improvements to accelerate the pace of delivery for recurring deliverables 

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 

90 days

    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 solutionsSupport creation of advanced analytics models to drive our operations strategies 

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 

 

Responsibilities

    Ideate and develop high quality analytics products for the field leadership teamWork 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 deflectionManage 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 solutionsPackage and present recommendations to executive leadership through a combination of quantitative analysis and qualitative feedbackEnable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBuilding key data sets to empower operational and exploratory analysisLead the data engineering strategyPlay a central role in the analytics team’s transition from descriptive analysis to predictive modelingProvide guidance to junior analysts on the team about best practices in data management and visualization

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 roleAbility to develop complex SQL queries required. Python/R scripting experience preferredStrong understanding of statistical modeling techniques required ( regression, hypothesis testing, classification methods etc.)Experience working with and deriving insights from large data setsSolid 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 dashboardsAbility 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

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

Desired Skills

    Experience with Coveo Search / ML optimization

Experience with Coveo Search / ML optimization

Accommodations - If you require assistance due to a disability applying for open positions please contact the Salesforce.com Recruiting Department.

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