Business Intelligence and Search Expert Engineer
Salesforce.com, Inc
Buenos Aires, AR
hace 5 días
source : DirectEmployers Association

Job Category Operations Job Details 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 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 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 solutions+ Support creation of advanced analytics models to drive our operations strategies Responsibilities + 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 Desired Skills + 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 at mailto : applicant access salesforce.com . Posting Statement Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers.

    Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

    Headhunters and recruitment agencies may not submit resumes / CVs through this Web site or directly to managers. Salesforce.

    com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.

    com or Salesforce.org.Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way.

    We harness technologies that can revolutionize companies, careers, and, hopefully, our world.Salesforce is built on a set of four core values : Trust, Customer Success, Innovation, and Equality.

    By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the "Most Admired Companies in the World" and one of the "100 Best Companies to Work For" eleven years in a row, and named "Innovator of the Decade" and one of the "World's Most Innovative Companies" eight years in a row by Forbes.

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