Role Title: Senior Data Analyst
Contract Type: 40 hours per week (12 Month Contract)
Location: Remote U.S. (PST preferred); however, we are open to candidates located in EST/CST time zones, and Canada.
Dolby is seeking a highly analytical, business-focused, and technically skilled Senior Data Analyst to drive our organization''s data, analytics, and AI initiatives. In this role, you will lead the development of enterprise analytics solutions, enable self-service reporting, and help modernize decision-making through advanced analytics, AI-powered insights, and workflow automation.
The ideal candidate combines deep expertise in Tableau, Databricks, SQL, and modern analytics platforms with the ability to translate complex data into actionable recommendations for business leaders. This individual will play a key role in embedding analytics into everyday workflows through AI, automation, and Slack-based reporting experiences, delivering measurable impact across Sales, Operations, Finance, and Customer Success teams.
Tableau, AI, and Slack-based reporting experience are essential and must have requirements for this role.
Key Responsibilities:
Tableau Analytics & Reporting
- Design, develop, and maintain interactive Tableau dashboards, scorecards, and executive-level reporting.
- Define and enforce Tableau governance, data quality standards, and dashboard development best practices.
- Partner with business stakeholders to establish KPIs, metrics, and data-driven reporting frameworks.
- Drive Tableau adoption through user training, enablement, and stakeholder engagement.
- Continuously optimize dashboard performance, usability, and business impact.
Databricks & Data Engineering
- Build and maintain scalable data pipelines using Databricks, Apache Spark, and cloud-based data platforms.
- Integrate structured and unstructured data sources to create unified analytical datasets.
- Ensure data integrity, governance, consistency, and reliability across systems.
- Support analytics and AI initiatives by developing robust and scalable data foundations.
AI, Advanced Analytics & Automation
- Identify opportunities to leverage AI, machine learning, and predictive analytics to improve business outcomes.
- Develop and operationalize AI-driven insights using platforms such as Tableau Pulse, Salesforce AI, or similar technologies.
- Design and support agentic AI workflows that automate data preparation, analysis, and insight generation.
- Evaluate emerging AI technologies and recommend practical, business-focused use cases.
- Translate complex business challenges into scalable analytics and AI solutions.
Slack & Workflow Enablement
- Develop Slack-based analytics experiences, including automated reporting, alerts, and real-time insights.
- Create workflow automations and integrations that embed analytics directly into business processes.
- Enable proactive and data-driven decision-making through automated notifications and recommendations.
- Establish Slack as a central analytics and collaboration platform for key stakeholders.
Business Partnership & Strategic Analysis
- Collaborate closely with business leaders to understand priorities and deliver impactful data solutions.
- Conduct analyses to identify trends, risks, growth opportunities, and performance drivers.
- Present insights, findings, and recommendations to executive and cross-functional stakeholders.
- Serve as a trusted advisor on data strategy, analytics enablement, and AI adoption.
Required Qualifications
- 3–7+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field.
- Advanced expertise with Tableau, including dashboard development, data modeling, governance, and performance optimization.
- Strong proficiency in SQL and experience working with relational databases.
- Hands-on experience with Databricks, Spark, or cloud-based data platforms.
- Strong analytical, problem-solving, and data visualization skills.
- Demonstrated ability to translate business requirements into scalable analytical solutions.
- Excellent communication, presentation, and stakeholder management skills.
- Experience delivering insights to both technical and non-technical audiences.
Preferred Qualifications
- Experience with AI-enabled analytics solutions such as Tableau Pulse, Tableau Next, Salesforce AI, or similar platforms.
- Familiarity with Agentic AI, Large Language Models (LLMs), and multi-agent systems.
- Experience building Slack integrations, workflows, and automation solutions.
- Knowledge of Salesforce, CRM analytics, Customer 360, or related platforms.
- Proficiency in Python, R, or other analytical programming languages.
- Experience with predictive analytics, machine learning, MLOps, or data science workflows.
- Experience in enterprise-scale analytics environments.
Key Competencies
- Analytical Thinking: Ability to solve complex business challenges using data, analytics, and AI-driven approaches.
- Data Storytelling: Ability to translate complex analyses into clear, compelling, and actionable insights.
- Technical Excellence: Strong expertise in Tableau, Databricks, SQL, and modern analytics technologies.
- Business Acumen: Understanding of business objectives and the ability to align analytics initiatives with strategic goals.
- Innovation Mindset: Passion for leveraging AI, automation, and emerging technologies to improve business outcomes.
- Collaboration & Influence: Ability to partner effectively with business leaders, technical teams, and cross-functional stakeholders.
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