Salesforce & Data Analytics Lead

Salesforce & Data Analytics Lead

What You'll Do

As a Salesforce & Data Analytics Lead, you'll be the bridge between business and data — turning systems, dashboards, and insights into smarter decisions and stronger outcomes. You'll own both the hands-on management of Salesforce and the delivery of impactful business intelligence across departments.

You'll configure and enhance ACI's Salesforce environment to support key business processes, while leading full-cycle BI projects that bring together data from multiple systems into meaningful insights. You'll collaborate across Sales, Marketing, Finance, and Operations to translate requirements into elegant, actionable dashboards and automated workflows that improve the way we work and measure success.

In this role, you'll:

• Administer and optimize Salesforce, including user setup, roles, permissions, and automation.
• Design and deliver reports and dashboards in Salesforce and BI tools (Power BI, Tableau, or similar).
• Lead end-to-end BI initiatives — from gathering requirements to developing data models and presenting insights.
• Partner with IT and data engineering to maintain integrations between Salesforce, NetSuite, and other systems.
• Identify opportunities for process automation, improved data quality, and scalable reporting.
• Document architecture, data definitions, and reporting processes to support transparency and continuity.

Your work will directly shape how leaders at ACI see and act on data — helping us serve our learners, partners, and teams with clarity and confidence.

What You'll Need (Requirements)

Minimum:

• 3+ years of Salesforce Administration experience with demonstrated ability to translate business needs into technical solutions.
• Hands-on experience creating dashboards and data visualizations using Power BI, Tableau, or similar tools.
• Understanding of Salesforce data security, integrations (APIs or connectors), and sandbox management.
• Proven experience managing cross-system data flows and ensuring data integrity.
• Strong analytical and communication skills — comfortable working with both technical and non-technical teams.
• High attention to detail, with the ability to manage multiple projects and deadlines independently.

Preferred:

• Salesforce Administrator Certification (ADM-201); additional certifications (Advanced Admin, App Builder, Sales Cloud) are a plus.
• Experience working with data integration tools (MuleSoft, Boomi, etc.) or cloud data warehouses such as Snowflake.
• Familiarity with SaaS or subscription business models (ARR, renewals, lead conversion, etc.).
• Background in Sales Operations, Marketing Analytics, or Finance where Salesforce and BI tools were core systems.

What We're Counting On From You

• Translating complex data into clear, actionable insights that drive business growth.
• Maintaining a high-performing Salesforce ecosystem that supports operational excellence and scale.
• Partnering cross-functionally to improve the quality, accessibility, and impact of ACI's reporting.
• Upholding data integrity and proactively identifying opportunities to simplify and automate workflows.
• Bringing curiosity, precision, and ownership to every project you touch — helping teams make better, faster decisions.

First 60 Days

• Build a deep understanding of ACI's Salesforce instance, data model, and reporting ecosystem.
• Conduct a data integrity and reporting audit across Salesforce and related systems.
• Deliver at least one quick-win dashboard or automation enhancement that improves visibility or efficiency.
• Partner with key stakeholders in Sales, Marketing, and Finance to align on reporting priorities and KPIs.
• Document initial recommendations for data structure, reporting improvements, and integration opportunities.

Longer Term

• Stand up a centralized data environment (Snowflake or equivalent) that integrates Salesforce, NetSuite, and other key systems.
• Deliver unified, cross-system dashboards that track key business metrics (ARR, retention, renewals, conversions).
• Improve Salesforce automation and validation processes to strengthen data quality and reduce manual work.
• Maintain comprehensive documentation of Salesforce architecture, objects, and workflows.
• Drive a culture of data excellence — where insights are reliable, timely, and central to decision-making.