Analyst Business Intelligence

Posted 2 Days Ago
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Pune, Mahārāshtra, IND
In-Office
Senior level
Other
No.1 privately held manufacturer & distributor of health care products in the U.S.
The Role
Develop and support Microsoft Fabric data and reporting solutions, including lakehouses, warehouses, pipelines, dataflows, notebooks, semantic models, and Power BI datasets. Build scalable ETL/ELT processes, apply data modeling and SQL optimization, resolve production incidents within SLAs, monitor data loads, coordinate deployments, and support month-end and financial close reporting. Document technical designs, perform root cause analysis, improve automation and reliability, and collaborate with business, finance, QA, and technical teams.
Summary Generated by Built In

Job Summary

Job Description

We are seeking a highly motivated Microsoft Fabric Developer with 6+ years of experience in data engineering, analytics, and enterprise reporting solutions. The ideal candidate should have strong hands-on expertise in Microsoft Fabric, SQL, data modeling, ETL/ELT development, production support, and enhancement delivery.

Required skills:

  • 6+ years of overall experience in data engineering, business intelligence or analytics.
  • Strong hands-on experience in Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks, Semantic Models, and Power BI.
  • Experience with medallion architecture, lakehouse patterns, data warehouse design, and enterprise reporting datasets.
  • Hands-on experience in building and maintaining ETL/ELT pipelines, data ingestion, data transformation, Standard frameworks,and orchestration processes.
  • Good working knowledge of Azure data services such as Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks will be preferred.
  • Experience working in a production support environment with defined SLA commitments.
  • Ability to participate in critical business cycles including financial and month-end reporting processes.
  • Good understanding of data modelling concepts, including conceptual, logical, and physical data models.
  • Experience with dimensional modelling, facts, dimensions, keys, relationships, and reporting-ready datasets.
  • Strong SQL skills, including writing optimized queries, analyzing complex datasets, and supporting performance tuning.
  • Strong problem-solving and debugging skills.
  • Ability to document technical designs, data flows, mappings, dependencies, and delivery processes.
  • Good communication skills to work with business users, technical teams, QA teams, and cross-functional stakeholders.
  • Good understanding of SAP data, business processes, and enterprise reporting environments is nice to have.

Desired Skills:

  • Exposure to HANA Modeling, SAP data structures, BusinessObjects, or Tableau is nice to have.
  • Experience working in a captive center or global capability center environment is a plus.
  • Familiarity with ticketing tools such as Jira, ServiceNow, or equivalent.

Responsibilities:

Development & Enhancements

  • Design, develop, and maintain Microsoft Fabric solutions, including Lakehouse, Warehouse, Data Pipelines, Dataflows, Notebooks, and Semantic Models.
  • Develop scalable and high-performance data ingestion and transformation solutions.
  • Create and maintain reporting-ready datasets for business intelligence and analytics.
  • Gather requirements and deliver enhancements aligned with business priorities.
  • Prepare technical designs, source-to-target mappings, and development documentation.
  • Implement data modeling best practices to support reporting and analytical needs. Production Support & Operations
  • Provide Level 2/Level 3 support for Fabric-based reporting and analytics solutions.
  • Investigate and resolve production incidents, data failures, report issues, and pipeline failures within agreed SLAs.
  • Perform root cause analysis and implement permanent fixes for recurring issues.
  • Monitor critical production jobs, data loads, and reporting processes.
  • Coordinate deployments, hotfixes, and emergency production changes when required.
  • Support audit and compliance requirements through proper documentation and controls.
  • Support critical month-end and financial close activities dependent on enterprise reporting solutions.
  • Ensure timely completion of data refreshes, reconciliations, and reporting processes.
  • Work closely with business and finance teams during close cycles to resolve issues and minimize business impact.
  • Identify automation opportunities to reduce manual efforts and operational risk.
  • Improve system reliability, performance, and monitoring capabilities.
  • Recommend process improvements and best practices for support and development activities.
  • Contribute to knowledge management, standard operating procedures, and support documentation.

Education

  • IT Graduate (BE, BTech, MCA) preferred

Click here to learn more about a career in IT at Medline!

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Skills Required

  • 6+ years of overall experience in data engineering, business intelligence, or analytics
  • Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Notebooks, Semantic Models, and Power BI
  • Experience with medallion architecture, lakehouse patterns, data warehouse design, and enterprise reporting datasets
  • Hands-on experience building and maintaining ETL/ELT pipelines, data ingestion, transformation, frameworks, and orchestration processes
  • Working knowledge of Azure Data Factory, Azure Data Lake, Azure Synapse, or Databricks
  • Experience in a production support environment with defined SLA commitments
  • Ability to support critical business cycles, including financial and month-end reporting
  • Understanding of conceptual, logical, and physical data modeling
  • Experience with dimensional modeling, facts, dimensions, keys, relationships, and reporting-ready datasets
  • Strong SQL skills, including optimized queries, complex dataset analysis, and performance tuning
  • Strong problem-solving and debugging skills
  • Ability to document technical designs, data flows, mappings, dependencies, and delivery processes
  • Good communication skills for collaboration with business users, technical teams, QA teams, and cross-functional stakeholders
  • Understanding of SAP data, business processes, and enterprise reporting environments
  • Exposure to HANA Modeling, SAP data structures, BusinessObjects, or Tableau
  • Experience in a captive center or global capability center environment
  • Familiarity with Jira, ServiceNow, or equivalent ticketing tools
  • IT Graduate degree such as BE, BTech, or MCA
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The Company
HQ: Northfield, IL
20,000 Employees
Year Founded: 1961

What We Do

All across America and the world, we help healthcare systems improve patient outcomes and reduce costs through clinical and financial solutions. As both a manufacturer and distributor of medical devices and supplies, we’re made up of problem solvers. Risk-takers. Big thinkers and doers.

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