Data Center Services Analyst

Switch

$80K — $95K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in Revenue Operations, Sales Operations, or related analytical role.
  • Hands-on Salesforce experience and familiarity with business processes.
  • Advanced SQL proficiency for working with complex datasets.
  • Skilled in creating and maintaining Tableau dashboards.
  • Proficient with Python and Power Query for data tasks.
  • Knowledge of ETL/ELT processes and data modeling.
  • Experience in defining data standards and documentation.

Responsibilities

  • Build and maintain Tableau dashboards for key metrics.
  • Own and present recurring Revenue Operations updates to leaders.
  • Clean and transform revenue data using SQL and Python.
  • Develop ETL and ELT processes for consistent reporting.
  • Integrate Salesforce data with downstream systems into usable datasets.
  • Maintain definitions, validation rules, and documentation for data accuracy.
  • Identify and resolve data issues across systems.

Benefits

  • Opportunity to grow in a dynamic work environment.
  • Autonomy in handling complex analytical tasks.
  • Collaboration opportunities across multiple departments.
  • Potential to influence business decisions directly.
  • Access to cutting-edge data analytics tools.
Full Job Description
Location: Las Vegas, NV
The Role: Data Center Services Analyst

The Data Center Services Analyst turns complex revenue data into trusted reporting and practical insights. You will own reporting for pipeline, bookings, revenue, forecasts, and key go-to-market measures. You will improve data quality and transformation processes across Salesforce and related systems. This is an individual contributor role with independent responsibility for complex analysis and recurring leadership updates.
What You'll Do
  • Build and maintain Tableau dashboards and revenue reports for pipeline, bookings, revenue, forecasts, and key go-to-market metrics.
  • Own recurring Revenue Operations updates and explain performance, trends, risks, and opportunities to leaders.
  • Use SQL, Python, and Power Query to clean, transform, validate, and automate revenue data.
  • Build and maintain ETL and ELT processes that support reliable reporting datasets.
  • Combine Salesforce and downstream system data into documented, reusable datasets.
  • Maintain shared definitions, validation rules, and documentation for revenue data.
  • Trace data issues from source systems through final reports and coordinate practical fixes.
  • Improve data capture, integrations, and reporting processes to reduce manual work.
  • Translate business questions from Sales, Marketing, Finance, Operations, IT, and Data into clear analysis.
What We're Looking For
  • You communicate technical findings in plain language and include the details needed for decisions.
  • You check assumptions, definitions, and outputs before sharing data.
  • You take ownership of commitments, flag risks early, and follow through.
  • You investigate root causes and bring practical options, not only problems.
  • You work across teams while keeping responsibilities and next steps clear.
  • You consider company and client impact when prioritizing reporting and process changes.
What You'll Bring

Required
  • Four or more years of experience in Revenue Operations, Sales Operations, business intelligence, data analytics, business operations, or a related analytical role.
  • Hands-on experience with Salesforce data, business processes, and downstream reporting.
  • Advanced SQL skills and experience working with relational data and complex datasets.
  • Experience building and maintaining Tableau dashboards for business users.
  • Experience using Python and Power Query for analysis, transformation, automation, or data quality work.
  • Practical knowledge of ETL and ELT processes, data pipelines, integrations, and data modeling.
  • Experience supporting pipeline, forecast, bookings, revenue, or operational planning.
  • Experience creating consistent data definitions, documentation, and validation standards.
  • Ability to explain technical findings to nontechnical audiences.

Preferred
  • Experience in B2B technology, data centers, infrastructure, SaaS, or another complex technology environment.

We encourage you to apply if your experience is closely related, even if you do not meet every preferred qualification.

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