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AI Data Analyst
Javen Technologies
- 🇺🇸 United States
- Remote
- 1 day ago
- AI
- Power BI
- SQL
- Python
- Pandas
- PySpark
- Snowflake
- Azure Synapse
- Microsoft Fabric
- Databricks
- Data Modeling
- AI/ML
- Natural Language Processing
- Copilot
- Machine Learning
- Azure AI
- Foundry
- Copilot Studio
- Azure OpenAI
- AWS Bedrock
- JSON
- Salesforce
- SAP
- Data Visualization
- DAX
1 day ago
Duration: 12+ Months Contract
Location: 100% Remote
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Job Description:
As a Data Intelligence Analyst, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:
- Design, develop, and deliver scalablePower BI dashboards and semantic models using capabilities such asDataflows Gen2, Direct Lake, and AI-assisted analytics to provide actionable insights to leadership.
- Develop and optimize data pipelines usingSQL, Python (Pandas/PySpark), and modern data-processing frameworks, enabling ingestion, transformation, and analysis of structured and unstructured data.
- Architect and managecloud data solutions leveraging Snowflake, Azure Synapse, Microsoft Fabric, or Databricks, ensuring high-performance data modeling and efficient ingestion for analytics and AI use cases.
- Design, operationalize, and evaluateAI/ML solutions, including predictive analytics, anomaly detection, classification, forecasting, natural language processing, and Copilot-enabled analytics.
- Build and integrate generativeAI, AI agents, and copilots intoenterpriseworkflows using structured and unstructured data and approved platforms such asAzure AI Foundry, Copilot Studio, Azure OpenAI,AWS Bedrock, orsimilar technologies.
- DevelopAPI- and JSON-based integrations and data pipelines connecting enterprise platforms—includingSalesforce, SAP, and external regulatory platforms—to analytics,AI/ML, and agent-driven workflows.
- Establish and apply data andAI governance practices—including data quality, metadata management, lineage,responsible AI, and enterprise standards—in collaboration with Quality, Regulatory, IT, and Data Governance teams.
- Partner with business, Master Data, and digital transformation teams to define data products, KPIs, andAI-driven insights that supportHealthcare and Regulatory operations.
- Enable self-service analytics and AI adoption by training users onPower BI, Copilot, and data tools; promote best practices in data literacy and responsible AI usage.
Skills:Â Â Â
Your Skills and Expertise
To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:
Bachelor's degree or higher (completed and verified prior to start) in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field from an accredited institution AND
Seven (7) years of experience in data analytics, business intelligence, data engineering, or data science roles with demonstrated impact delivering data-driven insights.
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In addition to the above requirements, the following are also required:
Hands-on experience with data visualization tools such asPower BI (includingDAX, data modeling, and dashboard design); familiarity withMicrosoft Fabric, Copilot, or embedded analytics.
Experience working with modern data platforms such asSnowflake, Databricks, Azure Synapse, or Microsoft Fabric, includingdata ingestion and transformation.
Proficiency inSQL and at least oneprogramming language (Python preferred) for data manipulation, automation, and analysis (e.g.,Pandas, PySpark).
Hands-on experience developing, implementing, or supportingAI/ML solutions using Python or R.
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Additional qualifications that could help you succeed even further in this role include:
Master's degree in Computer Science, Data Science, Mathematics, Statistics, Finance, or a related quantitative field.
Experience developing generative AI, retrieval-augmented generation, or agentic AI solutions and integrating them with enterprise data platforms and business applications, preferably in regulated environments.
Understanding of data governance, data quality, and metadata management principles within enterprise environments.
Demonstrated curiosity and ability to quickly learn, evaluate, and apply emerging AI technologies to solve business problems and deliver measurable value.
AI Data Analyst · Javen Technologies