Sr Software Engineer (Azure DS, Power Platform)

Senior Data Analytics Professional

Position Overview

We are seeking a Senior Data Analytics professional with strong experience across modern data platforms and a proven track record in delivering predictive analytics and AI-driven insights. The ideal candidate will possess a deep understanding of data modeling, visualization, and automation, and be able to integrate predictive and AI models—including potentially Large Language Models (LLMs)—into business intelligence solutions.

Required Experience

• 5–6 years of experience in report development, data modeling, and analytics.
• 5–6 years of experience in business intelligence and data visualization.
• 2–3 years of experience in ETL and OLAP development (e.g., SSIS, SSAS, or similar platforms).
• Strong hands-on experience in:
• Developing and optimizing dashboards and analytical reports.
• Utilizing advanced platform features for KPIs, bookmarks, workspace management, security, and administration.
• Data transformation and calculations using modern query languages and analytical expressions.
• Predictive modeling and advanced analytics with Python or R.

Preferred Qualifications

• Experience working with Azure Data Services, Azure Machine Learning, or Power Platform AI Builder.
• Strong hands-on experience in:
• • Developing and optimizing Power BI dashboards and reports.
  • Power BI Pro features (KPIs, bookmarks, workspace management, RLS, Gateway administration etc.).
• Strong knowledge of data modeling, data mart creation, and semantic modeling.
• Proven ability to deliver forecasting, trend analysis, and anomaly detection via Power BI and Python/R.
• Experience working in Agile/Scrum environments.
• Proficiency with Excel (Power Query, Power Pivot, external connections, pivot tables, etc.).
• Integration of external data via REST APIs.
• Experience with Power BI Embedded or embedding Power Apps in external portals.
• Hand on experience with Power BI Custom visuals, advanced interactivity, AI-integrated dashboards, and mobile-ready reports.
• Experience with Power Apps: App development, Dataverse integration, automation via Power Automate.
• Python / R: Predictive analytics, machine learning integration.
• SQL (T-SQL, PL/SQL): Complex query design for data retrieval and manipulation.
• Power Query (M) and DAX: Advanced transformations and business logic.
• SSIS & SSAS: ETL workflows and tabular modeling.
• Security: Row-Level Security (RLS), workspace governance, data access control.
• Excellent written and verbal communication skills.
• Knowledge of People/HR-related reporting and metrics (headcount, attrition, recruitment, performance, etc.) is preferred but not required.

Nice to Have

• Experience with LLMs (Large Language Models) such as OpenAI GPT, Azure OpenAI, or similar:
• • Using LLMs to generate insights, summaries, or dynamic narratives in reports.
  • Embedding natural language interfaces or chatbots within Power Apps or Power BI.
• Familiarity with Azure OpenAI Services, AI Builder, or similar AI tools.
• CI/CD experience with Power Platform (via Azure DevOps or GitHub).
• Experience with Snowflake, Synapse Analytics, or other modern data platforms.
• Ability to deploy solutions into Microsoft Teams, SharePoint, or external apps.

Responsibilities

• Lead the full development lifecycle of interactive, predictive dashboards and business applications using Power Bi.
• Build and manage robust data models and data pipelines.
• Develop and deploy Power Apps and Power Automate and integrate them with Power BI reports and business workflows.
• Embed AI and predictive models into reports for proactive insights.
• Collaborate across teams to translate business needs into actionable reports, apps, and workflows.
• Maintain governance, performance, and security across Power Platform environments.