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Data Analyst with 3+ years in ServiceNow Reporting & Data Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 3+ years of experience in ServiceNow reporting and data analysis, specializing in transforming operational data into actionable insights. Strong expertise in SQL, Python, Power BI, and Excel, with hands-on experience in dashboard development, KPI tracking, trend analysis, and reporting automation. Proven ability to analyze large datasets and support business decision-making through data-driven insights.
Magadh University
Bachelor of Commerce · Commerce
N/A – June 30, 2017
Collatenet Consulting
ServiceNow Data Analyst / Reporting Specialist
February 1, 2023 – Present
India
Swaragini Convent
Accountant
December 1, 2017 – November 30, 2022
Patna, Bihar, India
Blinkit Sales Dashboard (Power BI)
June 1, 2026 – Present
Developed an interactive Power BI dashboard to analyze Blinkit grocery sales performance, enabling data-driven business decisions Monitored and visualized key KPIs including Total Sales, Average Order Value, Order Volume, and Product Category Performance Designed DAX measures and performed data modeling to evaluate sales by outlet size, location type, and product categories Created actionable insights through visualizations highlighting top-performing products, sales distribution, and outlet-level performance trends
Customer Segmentation Analysis (SQL)
June 1, 2026 – Present
Conducted customer segmentation analysis on 50,000+ transaction records using SQL, leveraging CTEs and window functions Implemented RFM (Recency, Frequency, Monetary) analysis to identify high-value, loyal, and at-risk customers Calculated key metrics including repeat purchase rate, revenue contribution, and inactive customer percentage to drive retention strategies Generated actionable insights for targeted marketing campaigns and customer engagement optimization
Customer Churn Analysis (Python)
June 1, 2026 – Present
Developed a customer churn prediction model using Logistic Regression on a telecom dataset with 7,043 customers and 21 features Performed Exploratory Data Analysis (EDA) to identify patterns, trends, and correlations in customer data Performed data preprocessing, including categorical encoding, feature engineering, and train-test splitting to prepare the dataset for modeling Built and evaluated the model, achieving 81.4% accuracy in predicting customer churn Identified key churn drivers such as contract type, tenure, and monthly charges, providing actionable insights to support customer retention strategies
ServiceNow Certified System Administrator (CSA)
ServiceNow
June 1, 2026 – Present
Advanced Certification in Data Analytics
iHub DivyaSamparak IIT Roorkee & Intellipaat
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales dashboards, churn analysis, and customer segmentation, shows a broad interest in applying data analytics across different business problems. The current role as a ServiceNow Data Analyst aligns well with the target role, indicating a focused career path. The blend of technical skills (SQL, Python, Power BI) and domain knowledge (ITSM, sales, customer behavior) suggests adaptability and a willingness to learn new areas, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's experience in collaborating with stakeholders to define KPIs and reporting requirements, as well as conducting root cause analysis, indicates good operational fit. The automation of recurring reports suggests an efficiency-driven mindset. The previous role as an Accountant also highlights meticulousness and structured reporting, which are valuable for data accuracy.