Natesha D S

Operations Associate

Bengaluru, Karnataka, India4 yrs 2 mos experience

Key Highlights

3+ years of experience in data analysis and business analytics.
Expert in SQL, Power BI, and Python for data-driven insights.
Proven track record in automating dashboards and KPI tracking.

Stackforce AI infers this person is a Data Analyst with expertise in logistics and business analytics.

Contact

Skills

Core Skills

Data AnalysisBusiness Analytics

Other Skills

SQLAdvanced ExcelPower BIData VisualizationAnalytical SkillsStatistical Data AnalysisMicrosoft Power BIPython (Programming Language)Information Management SolutionsManagement Information Systems (MIS)Financial AnalysisBusiness AnalysisExcel DashboardsMicrosoft SQL ServerPivot Tables

About

Data Analyst with 3+ years of experience in Operations and Business Analytics, currently working at Meesho. I specialize in transforming complex, large-scale datasets into actionable insights that drive operational efficiency and data-driven decision-making. My core strengths include SQL, Power BI, Python, and Advanced Excel, with hands-on experience in MIS reporting, KPI tracking, dashboard automation, cohort analysis, A/B testing, and regression analysis. I’ve worked extensively with logistics, operations, marketing, and finance data to track performance metrics such as TAT, on-time delivery, productivity, ROI, CAC, and contribution margins. I enjoy solving business problems through data — from identifying performance gaps and process inefficiencies to building automated dashboards that enable real-time visibility for stakeholders. Currently open to opportunities where I can contribute as a Data Analyst / Business Analyst / Operations Analyst in fast-paced, data-driven environments.

Experience

4 yrs 2 mos

Total Experience

1 yr 8 mos

Average Tenure

9 mos

Current Experience

Meesho

Operational Analyst

Aug 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Analyzed large-scale logistics and operations data using SQL and Advanced Excel to monitor SOP compliance and operational performance.
Defined, tracked, and reported key operational KPIs including on-time delivery, turnaround time (TAT), productivity, and exception rates to support leadership decision-making.
Conducted cohort analysis, cut-wise analysis, and trend analysis to identify performance gaps and operational bottlenecks.
Designed, automated, and maintained interactive Power BI dashboards providing real-time visibility into operational metrics for cross-functional stakeholders.
Executed A/B testing to evaluate the impact of operational process changes and quantify business outcomes.
Applied regression analysis to identify key drivers affecting operational efficiency and delivery performance.
Partnered with operations, logistics, and business teams to translate data insights into actionable recommendations and process improvements.
Ensured data accuracy and reliability through rigorous data validation and reconciliation practices.

SQLAdvanced ExcelPower BIData VisualizationAnalytical SkillsData Analysis+1

Valueleaf services (india) pvt. ltd.

2 roles

Senior Executive Management Information System

Promoted

Aug 2024 – Aug 2025 · 1 yr · Bengaluru, Karnataka, India · On-site

Analytical SkillsData Analysis

Management Information System Executive

May 2023 – Aug 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Statistical Data Analysis

Besant technologies

Trainee Data Analyst

Oct 2022 – Mar 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

As a Data Analyst Trainee, I aim to develop advanced analytical skills and gain hands-on experience in transforming data into actionable insights. During this training phase, I am actively working on:
Data Collection & Cleaning: Learning to gather and prepare data from diverse sources, ensuring accuracy, consistency, and completeness.
Data Visualization: Creating impactful dashboards and reports using tools like Power BI and Tableau to present key insights.
Statistical Analysis: Applying statistical techniques to identify trends, correlations, and patterns in data.
Database Management: Gaining proficiency in SQL for querying, managing, and merging datasets.
Problem-Solving: Using data to address business challenges and propose data-driven solutions.
I am also developing expertise in tools like Power BI, Python, Advanced Excel, and Google Sheets to enhance my data handling and analysis capabilities. My focus is to strengthen my ability to analyze data effectively and support decision-making processes in dynamic business environments.

Microsoft Power BIPython (Programming Language)