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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture, governance, and analytics strategy, with a strong focus on customer success and ROI delivery through effective communication and project management. Proficient in leveraging modern data tools and practices to enhance data quality and optimize business outcomes.
Highest-signal resume keywords
Data Architecture ConsultingCustomer Success ManagementProject ManagementSQL / dbt / Python ProficiencyMixpanel Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data QueryingData ModelingData TransformationAnalytics StrategyTechnical OnboardingChange ManagementData GovernanceROI DeliveryProcess DisciplineProduct Analytics
Soft Skills
Excellent CommunicationAnalytical SkillsStakeholder ManagementAdaptabilityCollaboration
Tools & Technologies
MixpanelGoogle CloudAmazon RedshiftMicrosoft AzureSnowflakeDatabricksCustomer Data PlatformsEvent StreamingReverse ETLBusiness Intelligence Tools
Industry Keywords
Data Governance PracticesTechnical Project ManagementClient-Facing Professional ServicesAnalytics Best PracticesOrganizational Efficiency
Tech Stack
Tools & technologiesAmazon RedshiftAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
- Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
- Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
- Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
- Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
- Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
- Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
- Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
- Bridge the technical-business gap with your customers — working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
- Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
- Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients
Requirements
What you’ll need- Experience consulting on defining and delivering ROI through new tool implementations
- Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
- The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
- Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
- Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
- Excellent written, analytical, and communication skills
- Strong process and/or project delivery discipline
- Eager to learn new technologies and adapt to evolving customer needs.
- Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
- Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
- Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
- Familiar with analytics best practices across business segments and verticals
- Fluency in additional languages
Benefits
Comp & perks- Comprehensive Medical, Vision, and Dental Care
- Mental Wellness Benefit
- Generous Vacation Policy & Additional Company Holidays
- Enhanced Parental Leave
- Volunteer Time Off
- Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
