Senior Data Analyst - (Microsoft Fabric) at AspenView Technology Partners

Perímetro Urbano Medellín, Antioquia, Colombia -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Data Modeling, Power BI, Statistical Modeling, Data Analysis, SQL, KQL, DAX, Dataflows Gen2, Orchestrated Analytics, Benchmarking, Collaboration, Data Governance, Predictive Modeling, Python, Machine Learning

Industry

technology;Information and Media

Description

About the role We are seeking an experienced Senior Data Analyst with strong Microsoft Fabric expertise to support the design, development, and enhancement of an advanced analytics platform for contract strategy optimization. The solution leverages modular, agent-driven analytical components—coordinated through an orchestrator—to generate descriptive, predictive, and prescriptive insights. The ideal candidate combines hands-on analytical skills, strong data modeling acumen, and the ability to collaborate across technical and business domains to deliver measurable value. What you will do: Develop, maintain, and enhance analytic modules and orchestrated workflows within Microsoft Fabric Build and refine data models, semantic layers, and reusable data products supporting benchmarking and recommendation engines Perform advanced data analysis and statistical modeling to support descriptive, predictive, and prescriptive recommendations for contract strategy Engineer historical benchmark datasets from diverse contract negotiation sources to infer similarity and expected outcomes Implement diagnostic and monitoring capabilities to assess model and component performance over time, driving continuous improvement Collaborate with data engineers, architects, and business stakeholders to ensure data quality, solution scalability, and alignment with strategic priorities Translate complex analytics into crisp, actionable insights for negotiation teams and leadership Support the development of reporting and visualization assets in Power BI and other Fabric-native tools Ensure data governance, security, and compliance standards are met throughout the analytical lifecycle What you bring: 8+ years of experience as a Data Analyst, BI Analyst, or similar analytical role Hands-on experience with Microsoft Fabric, including: OneLake and Lakehouse concepts Dataflows Gen2 KQL or SQL for data querying and transformation Notebooks or pipelines for orchestrated analytics Strong experience in Power BI dataset modeling, DAX, and visualization Solid grounding in statistics, trend analysis, and benchmarking methodology Familiarity with agent-based or component-based analytics, and orchestrated data pipelines Experience working with complex enterprise datasets (ideally contract, pricing, or procurement data) Excellent communication skills with the ability to explain technical insights in a business context Nice if you have: Knowledge of Machine Learning techniques (e.g., similarity scoring, clustering, predictive modeling) Experience with Python for data science applications in Fabric Financial Services industry experience Exposure to CI/CD practices within analytics environments Familiarity with automated quality checks, drift detection, or feedback loop analytics Equal Opportunity Employer: AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Responsibilities

The Senior Data Analyst will develop and enhance analytic modules and workflows within Microsoft Fabric, performing advanced data analysis to support contract strategy recommendations. They will collaborate with various stakeholders to ensure data quality and translate complex analytics into actionable insights.