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Revenue Data Support Analyst

  • ... Carpinteria, California, United States
  • ...

    Full-time

  • ... Salary: 40 per hour
  • Posted on: Apr 24, 2024       Expires on: Jun 08, 2024

Revenue Data Support Analyst   

JOB TITLE:

Revenue Data Support Analyst

JOB TYPE:

Full-time

JOB LOCATION:

Carpinteria California United States

REMOTE:

Yes

JOB DESCRIPTION:

Leader in their industry, our exciting global SaaS construction platform client seeks a contract Revenue Data Support Analyst.
This is a remote position.


Revenue Data Support Analyst primarily serves as the frontline for data requests coming into the Revenue Insights team.
More broadly, this role will be responsible for a majority of the run-the-business activities for keeping data current within important processes.


Revenue Data Support Analyst will be positioned against Sales and Customer teams separately, and individuals in these roles will spread across each of those Revenue functions.
Ie.
Sales Data Support will support teams such as Marketing, Sales, Sales Engineering, GP&A, and Install Base.


Contract Duration: 12-Months

Required Skills & Experience
  • The following grid provides a guideline on how much time a person in this role should spend towards their primary responsibilities.
    The distribution is based on a 40-hour work week.
RTB Reports Development Business Meetings Development 60%
20 hours 20%
10 hours 15%
6 hours 5%
2 hours
  • RTB
    • Serve as a primary point of contact for business and operations team members regarding day-to-day data needs, such as data questions and report requests
    • This includes ongoing Salesforce case management
  • Reports Development
    • Develop non-intensive reports in response to new requests and enhancements
    • Conduct periodic assessments of reporting processes and reports
  • Business Meetings
    • Responsible for liaising between Revenue Insights and the IT data engineering in matters associated with RTB enhancements to the Revenue Data Mart (RDM)
    • Maintain regular conversations with insights peers and key operations stakeholders
  • Development
    • Give time and attention to your career growth and development
    • This includes managing your IDP regularly and participating in L&D opportunities
  • The following are tools that will be utilized to carry out data support responsibilities.
Tool Actions Snowflake Data queries using SQL Salesforce Data viewing, data entry, data validation, reporting, dashboards, analysis, case management Clari Forecast viewing, reporting, analysis Tableau Data queries, data visualization, analysis, data publish Google (G-Suite) Email, spreadsheets, slides, documents, document management Smartsheets Developing and maintaining roadmaps and timelines Alation View data catalog, asset documentation

Key Competencies
  • These are the key competencies which each Revenue Data Steward should possess to be the most effective and successful in their job.
Category Competencies (Proficiency Level) Business Acumen Revenue Policy and Process (High)
Organizational Awareness (High)
Product Knowledge (Medium)
B2B SaaS (Medium) Analytical Business Insights (Medium)
Data Analysis (Medium)
Data Modeling (Low)
Data Quality Control (High)
Translating Business Objectives Into Insights (Low)
Problem Solving (High) Interactive Stakeholder Management (High)
Strong Communication: Written and Verbal (High)
Presentation Skills (Low)
Setting And Managing Priorities (High)
Explaining Technical Concepts (Medium)
Cross-Functional Collaboration (High) Project Management Structuring Problems (Medium)
Synthesizing Recommendations (Medium)
Time Management (High)
Seeking Input and Feedback (High) Mindset And Behaviors Sense Of Ownership (High)
Boldness and Risk-Taking (Medium)
Openness (High)
Integrity (High)
Adaptable (High)
Strategic Thinking (Medium)
Committed To Personal/Professional Growth (High)
Organized (High)

What You Will Be Doing
Daily Responsibilities
In this section, you will find a list of the activities that Revenue Data Support is responsible for:
  • Support run-the-business reporting activities, this includes:
    • Help develop enhancements into existing reports and dashboards in conjunction with BI developers
    • Support efforts that relate to data cleansing and mass data uploads
    • Maintain Insights home pages in Salesforce
  • Act as the primary point of contact on day-to-day data needs, such as data questions and report queries
    • Manage new data requests coming into the Revenue Insights queue.
      Data requests are typically submitted as a Salesforce case to the ROSE queue.
      ROSE cases are initially received by Revenue Coordinators who will disposition cases based on the type of request.
      Requests relating to data will route to the Revenue Insights queue.
      Revenue Data Support may disposition cases to another team member under certain circumstances.
      Ie.
      the request relates to a new long-term project or an existing project
    • Support inquiries that relate to existing data solutions (ie.
      questions about existing reports)
  • Conduct periodic assessments of reports and reporting processes
    • Support report rationalization exercises quarterly to minimize redundancies in the Revenue reports inventory
    • Generate usage statistics on Revenue reports to ensure relevancy is still high and utilization expectations are being met
    • Make recommendations where reporting content or processes can be improved
  • Liaise between Revenue Insights and IT Data Architects
    • Revenue Data Support would be the primary point between Revenue Insights and IT Data Architects to communicate business priorities, manage timeline expectations, and inform on the needs from either team.

Position Details

POSTED:

Apr 24, 2024

EMPLOYMENT:

Full-time

SALARY:

40 per hour

SNAPRECRUIT ID:

S-1714874430-312dfbcbe32207ef597e62ebea3188bd

LOCATION:

California United States

CITY:

Carpinteria

Job Origin:

jpick2

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Leader in their industry, our exciting global SaaS construction platform client seeks a contract Revenue Data Support Analyst. This is a remote position.

Revenue Data Support Analyst primarily serves as the frontline for data requests coming into the Revenue Insights team. More broadly, this role will be responsible for a majority of the run-the-business activities for keeping data current within important processes.

Revenue Data Support Analyst will be positioned against Sales and Customer teams separately, and individuals in these roles will spread across each of those Revenue functions. Ie. Sales Data Support will support teams such as Marketing, Sales, Sales Engineering, GP&A, and Install Base.

Contract Duration: 12-Months

Required Skills & Experience
  • The following grid provides a guideline on how much time a person in this role should spend towards their primary responsibilities. The distribution is based on a 40-hour work week.
RTB Reports Development Business Meetings Development 60%
20 hours 20%
10 hours 15%
6 hours 5%
2 hours
  • RTB
    • Serve as a primary point of contact for business and operations team members regarding day-to-day data needs, such as data questions and report requests
    • This includes ongoing Salesforce case management
  • Reports Development
    • Develop non-intensive reports in response to new requests and enhancements
    • Conduct periodic assessments of reporting processes and reports
  • Business Meetings
    • Responsible for liaising between Revenue Insights and the IT data engineering in matters associated with RTB enhancements to the Revenue Data Mart (RDM)
    • Maintain regular conversations with insights peers and key operations stakeholders
  • Development
    • Give time and attention to your career growth and development
    • This includes managing your IDP regularly and participating in L&D opportunities
  • The following are tools that will be utilized to carry out data support responsibilities.
Tool Actions Snowflake Data queries using SQL Salesforce Data viewing, data entry, data validation, reporting, dashboards, analysis, case management Clari Forecast viewing, reporting, analysis Tableau Data queries, data visualization, analysis, data publish Google (G-Suite) Email, spreadsheets, slides, documents, document management Smartsheets Developing and maintaining roadmaps and timelines Alation View data catalog, asset documentation

Key Competencies
  • These are the key competencies which each Revenue Data Steward should possess to be the most effective and successful in their job.
Category Competencies (Proficiency Level) Business Acumen Revenue Policy and Process (High)
Organizational Awareness (High)
Product Knowledge (Medium)
B2B SaaS (Medium) Analytical Business Insights (Medium)
Data Analysis (Medium)
Data Modeling (Low)
Data Quality Control (High)
Translating Business Objectives Into Insights (Low)
Problem Solving (High) Interactive Stakeholder Management (High)
Strong Communication: Written and Verbal (High)
Presentation Skills (Low)
Setting And Managing Priorities (High)
Explaining Technical Concepts (Medium)
Cross-Functional Collaboration (High) Project Management Structuring Problems (Medium)
Synthesizing Recommendations (Medium)
Time Management (High)
Seeking Input and Feedback (High) Mindset And Behaviors Sense Of Ownership (High)
Boldness and Risk-Taking (Medium)
Openness (High)
Integrity (High)
Adaptable (High)
Strategic Thinking (Medium)
Committed To Personal/Professional Growth (High)
Organized (High)

What You Will Be Doing
Daily Responsibilities
In this section, you will find a list of the activities that Revenue Data Support is responsible for:
  • Support run-the-business reporting activities, this includes:
    • Help develop enhancements into existing reports and dashboards in conjunction with BI developers
    • Support efforts that relate to data cleansing and mass data uploads
    • Maintain Insights home pages in Salesforce
  • Act as the primary point of contact on day-to-day data needs, such as data questions and report queries
    • Manage new data requests coming into the Revenue Insights queue. Data requests are typically submitted as a Salesforce case to the ROSE queue. ROSE cases are initially received by Revenue Coordinators who will disposition cases based on the type of request. Requests relating to data will route to the Revenue Insights queue. Revenue Data Support may disposition cases to another team member under certain circumstances. Ie. the request relates to a new long-term project or an existing project
    • Support inquiries that relate to existing data solutions (ie. questions about existing reports)
  • Conduct periodic assessments of reports and reporting processes
    • Support report rationalization exercises quarterly to minimize redundancies in the Revenue reports inventory
    • Generate usage statistics on Revenue reports to ensure relevancy is still high and utilization expectations are being met
    • Make recommendations where reporting content or processes can be improved
  • Liaise between Revenue Insights and IT Data Architects
    • Revenue Data Support would be the primary point between Revenue Insights and IT Data Architects to communicate business priorities, manage timeline expectations, and inform on the needs from either team.

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