Work Preference
Summary
Overview
Work History
Education
Skills
Work Availability
Timeline
Accomplishments
Project - Customer Stability
Project - Domo to Power BI Migration
Project - Implementation & Survey Metrics
Project - Implementation & Survey Metrics
Generic
SRINATH VIJIYARAGAVAN
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SRINATH VIJIYARAGAVAN

Work Preference

Job Search Status

Open to work

Desired Job Title

Senior Data AnalystAnalytics EngineerBusiness Intelligence AnalystBI Developer AnalystAnalytics Consultant

Work Type

Full Time

Location Preference

RemoteHybrid
Location: Bengaluru, KA
Open to relocation: Yes

Important To Me

Career advancementWork-life balanceCompany CultureFlexible work hoursPersonal development programsHealthcare benefitsWork from home optionPaid time offTeam Building / Company Retreats

Summary

Operations Analyst with 3.4 years of experience delivering BI and analytics solutions using Power BI, Microsoft Fabric, SQL, DAX, and Power Query. Experienced in enterprise BI migration, semantic modeling, ETL optimization, data governance, and KPI reporting, including the migration of 20+ Domo dashboards supporting 150+ users. Skilled in building star-schema models, Gold-layer datasets, automated data pipelines, and scalable reporting solutions across Salesforce and Fabric Lakehouse environments.

Overview

8
8
years of professional experience
4
4
years of post-secondary education

Work History

Operations Analyst 1 - Data Steward

PowerSchool India Pvt. Ltd.
Bangalore
07.2023 - Current
  • Supported migration of 20+ enterprise dashboards from Domo to Microsoft Fabric and Power BI for 150+ business users, consolidating 40 ETL processes into reusable models and checking KPI parity before go-live (See Project Details).
  • Migrated 40 Salesforce reports and dashboards from Classic to Lightning Experience, providing a smooth transition for 20+ stakeholders with zero disruption.
  • Automated recurring revenue reporting and variance analysis using Excel and Power Query, reducing preparation time from 12 hours to 15 minutes (98% reduction), condensing 300 variance lines into 100 actionable items, and saving 16 hours per month.
  • Built 18 monthly product forecasting files using Power Query and VBA macros, enabling one-click data refresh for stakeholder forecast meetings and removing manual report preparation.
  • Own data stewardship across Salesforce and Microsoft Fabric Lakehouse, ensuring data quality and integrity while partnering with stakeholders to define, standardize, and govern KPIs and reporting metrics.
  • Resolved 2,000+ business requests through Freshservice across reporting and analytics, Salesforce administration, revenue operations, and dashboard support, maintaining a 96% SLA and ensuring timely stakeholder resolution.

Data Analyst Trainee

Excelr
Bangalore
07.2022 - 12.2022
  • Decided to transition into the Data Analytics field and completed hands-on training at ExcelR Institute, developing practical skills in Excel, SQL, Power BI, and Tableau through projects involving data cleaning, analysis, trend identification, and reporting.

Self Employed

SMB Building Consultant
Dharmapuri
08.2018 - 07.2022
  • Delivered cost-effective, sustainable construction solutions using stabilized mud blocks (SMB) for residential, educational, and healthcare projects, reducing cement usage while collaborating with customers, contractors, and cross-functional teams.

Education

Bachelor of Engineering - Civil Engineering

Adhiyaman College of Engineering
Hosur,Tamil Nadu
06.2014 - 05.2018

Skills

  • BI & Analytics: Power BI, Domo, Advanced Excel, Dashboard Development, Data Visualization, KPI Development, Forecasting, Variance Analysis
  • Microsoft Fabric: Lakehouse, Dataflow Gen2, Pipelines, Notebooks, SQL Endpoint, Workspace Administration, Workspace Apps
  • Data Engineering: Medallion Architecture, ETL Optimization, Data Migration, Data Validation & Reconciliation
  • Languages & Data Modeling: SQL, Spark SQL, DAX, Power Query (M), Python(Basic), Semantic Models, Star Schema, Dimensional Modeling
  • Platforms & Tools: Salesforce (Reporting, Lightning Experience), NetSuite, FreshService (ITSM Ticketing), Jira
  • Data Governance & Collaboration: Data Stewardship, Data Quality, Requirements Gathering, Stakeholder Management, User Training

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

Operations Analyst 1 - Data Steward

PowerSchool India Pvt. Ltd.
07.2023 - Current

Data Analyst Trainee

Excelr
07.2022 - 12.2022

Self Employed

SMB Building Consultant
08.2018 - 07.2022

Bachelor of Engineering - Civil Engineering

Adhiyaman College of Engineering
06.2014 - 05.2018

Accomplishments

  • Spot Bonus, PowerSchool (Q3 2026): Received for completing the Domo to Power BI migration on schedule.
  • Rising Star Award, PowerSchool (Q3 2025): Recognized for continuous learning, innovative problem-solving, and consistently delivering high-quality results.

Project - Customer Stability

Source System: Salesforce  |  08/2026 - 09/2026

  • Developed an executive Power BI dashboard for 40+ Customer Success Managers and stakeholders, enabling early identification of at-risk customer accounts.
  • Built account stability scoring in Spark SQL for 40,000+ active accounts using weighted risk indicators, and designed a semantic model powering summary and stability metric pages.
  • Replaced manual account reviews with automated risk categorization, enabling CSMs to prioritize at-risk accounts and take timely retention actions.

Project - Domo to Power BI Migration

  Source Systems: Salesforce, NetSuite, FreshService, Excel |  01/2026 - 08/2026

  • Led migration of 20+ Domo dashboards to Microsoft Fabric Power BI, tracking development in Jira and consolidating them into 5 business-domain dashboards (35 reports) with standardized design, bookmark navigation, and drill-throughs.
  • Developed 3 enterprise semantic models using a star schema design, optimized 40 Domo ETL processes, and reduced redundant ETLs by 37%.
  • Engineered 30+ Gold-layer fact and dimension tables from Silver-layer datasets following Medallion Architecture, using Spark SQL in Fabric Notebooks and Dataflow Gen2/Power Query (M).
  • Automated semantic model table and column naming standardization using Python in Fabric Notebooks, saving 60+ hours of manual effort.
  • Developed 50+ DAX measures and KPI scoring models for Project Performance & Operations, Services Leadership International, Financial Performance Overview, Survey Performance Insights, and Monthly Utilization.
  • Orchestrated Fabric pipelines to automate Dataflow Gen2, Notebook, and semantic model refreshes, ensuring reliable end-to-end data delivery.
  • Validated and reconciled Domo and Power BI outputs to ensure data accuracy before production go-live.
  • Served as Fabric Workspace Administrator for 150+ users, owning governance, deployment, access management, Workspace App publishing, and production support with Data Services, and delivered post-go-live training to drive adoption.

Project - Implementation & Survey Metrics

Source System: Salesforce  |  08/2025 - 10/2025

  • Developed a Domo dashboard for 20+ stakeholders to track project status, go-live and target go-live dates, survey distribution, customer sentiment, and project manager workload across 2,500+ projects.
  • Designed Magic ETL dataflows to transform Salesforce project and survey data into a reporting-ready dataset, and built Beast Mode calculations for KPIs such as go-live variance, survey response rate, and sentiment scores.
  • Built project-level and survey-level dashboard pages, giving leadership visibility into delivery timelines and customer satisfaction while replacing manual Salesforce report tracking.

Project - Implementation & Survey Metrics

Source System: Salesforce  |  08/2025 - 10/2025

  • Developed a Domo dashboard for 20+ stakeholders to track project status, go-live and target go-live dates, survey distribution, customer sentiment, and project manager workload across 2,500+ projects.
  • Designed Magic ETL dataflows to transform Salesforce project and survey data into a reporting-ready dataset, and built Beast Mode calculations for KPIs such as go-live variance, survey response rate, and sentiment scores.
  • Built project-level and survey-level dashboard pages, giving leadership visibility into delivery timelines and customer satisfaction while replacing manual Salesforce report tracking.
SRINATH VIJIYARAGAVAN