Tushar Sahu

Data Analyst

Bengaluru, Karnataka, India 3+ yrs exp 86 · Excellent

About

Data Analyst with 1.2+ years of experience in pharma and healthcare analytics, delivering dashboards, KPI reports, data validation and ad-hoc analysis for Johnson & Johnson (Fortune 500 healthcare client) at ZS Associates. Strong hands-on skills in SQL, Power BI, Advanced Excel and Python. Experienced in translating business requirements into analytical solutions, investigating data discrepancies, automating data quality checks and reporting workflows, and presenting insights to technical and non-technical stakeholders. Extending capability into data engineering with PySpark and Apache Airflow.

Skills & Expertise (41)

SQL Intermediate

7.5/10

1.2

Years Exp

Power BI Intermediate

7.5/10

1.2

Years Exp

Postgresql Intermediate

7.0/10

1.2

Years Exp

Data Validation Intermediate

7.0/10

1.2

Years Exp

Data Cleaning Intermediate

7.0/10

1.2

Years Exp

Python Intermediate

6.5/10

1.2

Years Exp

Exploratory data analysis Intermediate

6.5/10

1.2

Years Exp

Data Storytelling Intermediate

6.0/10

1.2

Years Exp

ETL Intermediate

6.0/10

1.2

Years Exp

Apache Airflow Functional Specifications PySpark Reporting Automation ELT Process Documentation Cross-Functional Collaboration Stakeholder Management Requirement gathering AWS S3 Data Warehousing Dimensional Modelling Medallion Architecture CDC SCD Type 2 Advanced Excel Oracle Joins Aggregations Stored Procedures Power Query Dashboards KPI Reporting Ad-Hoc Reporting Pandas XLOOKUP VLOOKUP Pivot Tables Data Quality Checks Trend Analysis Cohort Analysis Customer Segmentation

Work Experience

Career Break

Self-Directed Technical Upskilling

Nov 2024 - Present

Upskilled in advanced SQL, Python (Pandas, EDA), Power BI and PySpark/Airflow, applied across two end-to-end self-built projects.

Business Technology Solution Associate

ZS Associates

Aug 2023 - Oct 2024

Built and maintained stakeholder-facing dashboards, KPI reports and presentations using Power BI, Power Query, Excel and PowerPoint for global business and commercial audiences, presenting insights to technical and non-technical stakeholders. Performed data validation, reconciliation and ad-hoc analysis on large-scale PostgreSQL datasets using SQL and Pandas, replacing legacy logic with optimized transformations and stored procedures that reduced runtime bottlenecks and improved reporting accuracy. Built automated SQL-based data quality frameworks (multi-way joins, aggregations) that eliminated manual audits and supported zero-defect delivery. Owned data stewardship for HCP-facing commercial data: validated and reconciled call plan targets, territory alignments and roster changes submitted by field sales reps, and investigated data discrepancies to resolve data-quality issues. Translated requirements from business and commercial stakeholders into analytical questions, scalable data structures and reporting solutions, working with technical teams. Managed end-to-end ETL pipelines (Apache Airflow, AWS S3) for J&J's Javelin Call Plan Manager, automating data workflows across Immunology, Neuroscience and Pulmonary Hypertension therapeutic areas.