Data Analytics Senior Analyst

Tableau Software

  • Chicago, IL
  • 30+ days ago

    Highlights

    Data Analytics Senior Analyst will be a crucial member of a high-performance team, Attrition Insights Center of Excellence (CoE), the source of truth for renewals and attrition data & analytics at Salesforce. • High level of confidence and comfort in working autonomously without constant supervision (self-starter, strong initiative, fast learner).

    Numbers & Facts

    LocationChicago, IL

    Description

    Data Analytics Senior Analyst will be a crucial member of a high-performance team, Attrition Insights Center of Excellence (CoE), the source of truth for renewals and attrition data & analytics at Salesforce. Successful candidates will be able to use data to drive insights, provide strategic recommendations, uncover trends, build scalable assets and data models. 

    Responsibilities:

    • Conduct deep dive analyses on attrition leveraging large volumes of datasets using SQL, Tableau, Python, etc. 

    • Collaborate with Data Architecture and Data Engineering to enhance data infrastructure and data governance

    • Document processes, data sources, metric definitions and enablement materials for diverse stakeholders

    • Build and deliver presentations with recommendations to senior executives

    • Support automation and enhancement of key processes to improve accuracy, timeliness and scalability of insights delivered

    • Understand the underlying data architecture supporting the Renewals business and identify drivers of attrition

    Desired Skills and Experience:

    • 4+ years of management consulting and/or business operations experience

    • Degree in a quantitative field or equivalent relevant experience required.

    • Proficiency with SQL (Snowflake) and Tableau. Python and/or R a plus

    • Experience creating BI dashboards and assets end-to-end; from initial scoping, data wrangling, asset creation and deployment

    • Strong presentation skills

    • Familiarity with CRM and data management

    • High level of confidence and comfort in working autonomously without constant supervision (self-starter, strong initiative, fast learner)

    • Strong communication skills, both written and verbal

    • Use of AI in daily operations

    • Strong situational analysis, negotiation, and decision-making abilities.

    • Detail and quality-oriented with the desire to quickly learn new concepts, business models, and technologies

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