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Aperia Technologies logo
Aperia Technologies

Changing the world one revolution at a time.

Sales Data Analyst

Data AnalystData AnalystFull TimeRemoteMid LevelTeam 51-200Since 2010H1B SponsorCompany SiteLinkedIn

Location

California

Posted

103 days ago

Salary

$115K - $135K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglishPythonSQLTableau

Job Description

Sales Data Analyst

Aperia Technologies

• Partner closely with Sales teams to develop and deliver tailored, customer-facing data analyses and presentations that support deal progression and customer decision-making. • Collaborate with cross-functional teams to understand customer needs and translate complex datasets into clear, compelling insights and narratives. • Conduct deep-dive, customer-specific analyses to identify trends, performance drivers, and opportunities beyond standard reporting outputs. • Design, build, and maintain automated data pipelines, dashboards, and reporting tools to streamline recurring analyses and reduce manual effort. • Participate in customer calls and internal strategy sessions to provide data-driven perspectives and answer technical or analytical questions. • Establish and maintain feedback loops with Sales and customers to continuously improve the quality, clarity, and impact of data outputs. • Support broader Sales and Marketing initiatives through exploratory analyses that inform go-to-market strategies and product positioning. • Work closely with the Data Science team to leverage advanced methodologies, improve analytical frameworks, and expand the organization’s data capabilities. • Coordinate with product and engineering teams to identify and resolve anomalies, issues and patterns seen in customer data. • Contribute to ongoing development of tools, processes, and best practices that enhance how data is utilized across the organization.

Job Requirements

  • Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, Computer Science, or a related field.
  • 2–5 years of experience in data analysis, business analytics, or a similar role, preferably in a customer-facing or revenue-support environment.
  • Strong proficiency in Python and/or SQL for data analysis, with experience working in tools such as Jupyter notebooks or similar environments.
  • Experience building dashboards or visualizations using BI tools (e.g., Tableau, Power BI, or similar).
  • Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
  • Strong problem-solving skills with a demonstrated ability to conduct exploratory and one-off analyses.
  • Experience with automation of reporting workflows and data pipelines is a strong plus.
  • Comfortable working cross-functionally with Sales, Engineering, and Data Science teams.
  • Self-motivated, proactive, and highly curious, with a strong sense of ownership and accountability.
  • Excellent communication skills, with the ability to engage effectively in both technical and customer-facing discussions.

Benefits

  • Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

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