Leads advanced data analysis, develops dashboards, KPIs, and analytical models, and translates business problems into data-driven solutions. Works with complex datasets using Databricks, SQL, Python, BI tools, and cloud data platforms. Partners with engineering and governance teams, promotes analytics standards, mentors analysts, and communicates insights to stakeholders. Supports strategic decisions through descriptive, predictive, and prescriptive analytics.
Key Responsibilities
- Lead exploratory and advanced data analysis
- Design complex dashboards, KPIs, and analytical models
- Translating business problems into analytical approaches
- Mentor P1 and P2 data analysts
- Partner with data engineering and governance teams
- Promote analytics standards and best practices
- Discuss and report data analysis results and findings to different levels of stakeholders
- Works with large, multi-source, or complex datasets
- Supports strategic and high-impact decisions
- Influences analytics direction and standards
- 5–8+ years of Data Analyst experience
- Expertise in using Business Intelligence tools such as PowerBI and Tableau
- Hands-on experience with Databricks, including notebooks, workflows, Delta Lake, and data pipelines.
- Strong proficiency in SQL and Python for data transformation, automation, and analytics.
- Experience designing and optimizing ETL/ELT processes in cloud-based data environments.
- Knowledge of data modeling, data governance, data quality, and metadata management principles.
- Experience working with large-scale structured and unstructured datasets.
- Strong analytical, problem-solving, and stakeholder communication skills.
- Intermediate to Advanced Data Analytics (Descriptive, Diagnostic Analysis, Predictive and Prescriptive Analysis)
- Strong data storytelling skills
- Basic project management and stakeholder management skills
Preferred Qualifications
- Databricks certifications (Databricks Fundamentals, Associate Data Engineer, Data Analyst, or equivalent).
- Experience with Lakehouse architecture, Medallion (Bronze, Silver, Gold) data models, and Delta Lake.
- Experience with Databricks Lakeflow, AI/BI, or data orchestration tools.
- Knowledge of Unity Catalog and enterprise data governance frameworks.
- Experience with cloud platforms such as Google Cloud Platform (GCP), Azure, or AWS.
- Experience integrating Databricks with reporting and visualization tools such as Tableau, Power BI, Looker, or Business Objects.
- Familiarity with AI, machine learning, or advanced analytics use cases.
Key Competencies
- Data Engineering & Data Management
- Cloud Data Platforms
- Data Governance & Quality Management
- Performance Optimization
- Business Intelligence & Analytics
- Automation & Process Improvement
- Cross-functional Collaboration
- Agile Delivery & Continuous Improvement
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
To read and review this privacy notice click here
Similar Jobs
Healthtech • Insurance • Professional Services
Business-focused consultant connecting divisions with enterprise data, analytics, and AI functions. Facilitates discovery workshops, identifies technology opportunities, translates business challenges into AI and data use cases, and develops decision-ready business cases covering benefits, costs, risks, dependencies, and value realization. Partners with business, finance, technology, and delivery teams to guide opportunities through prioritization, delivery, adoption, and measurable outcomes.
Top Skills:
Artificial IntelligenceAutomationData AnalyticsData ManagementGenerative Ai
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, security configuration, compliance, troubleshooting, and fleet health reporting. Build reliable PowerShell and systems automation, advance code-managed endpoint operations using tools such as Intune, FleetDM, osquery, infrastructure-as-code, and GitOps, and lead cross-functional platform improvements. Mentor engineers, review code and designs, document practices, and deliver multi-phase reliability initiatives.
Top Skills:
AutomoxC#Continuous Integration And DeliveryEntra IdFleetdmGitopsGoInfrastructure As CodeMicrosoft IntuneOsqueryPatch My PcPowershellPythonSQLVersion ControlWindows
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate production optimization applications powered by machine learning and advanced algorithms. Develop evaluation and testing systems, ensure reliability and observability, and direct AI coding agents through precise specifications and reviews. Collaborate with customers and cross-functional teams to translate business needs into scalable solutions, communicate risks, and influence product direction.
Top Skills:
AirflowAPIsAzuremlGraphQLGraphQLJavaJavaScriptKubeflowKubernetesLimeLoraMlflowPandasPeftPrefectPythonSagemakerShapSparkSQLTorchserveTritonVertex AiVllmWeights & Biases
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
