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Senior Data Analysis with 4+ years in Business Intelligence & Analytics
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Senior Data Analyst with close to 5 years of experience in Business Intelligence, analytics, reporting, and dashboard development across product and operational domains. Skilled in SQL, Python, Power BI, Tableau, and Excel with expertise in KPI reporting, data visualization, statistical analysis, predictive analytics, and stakeholder management. Proven track record of improving reporting efficiency by 40%, reducing SLA breaches from 17% to 9%, and delivering data-driven insights that support strategic business decision-making in fast-paced environments.
GUVI Geek Network
Business and Marketing Analytics with AI Tools
August 1, 2020 – June 30, 2021
Thassim Beevi Abdul Kader College for Women
Bachelor of Science (B.Sc) · Psychology
August 1, 2015 – June 30, 2018
Intenso Tech Solution Pvt Ltd
Senior Data Analyst
September 1, 2021 – Present
Bengaluru, Karnataka, India
Lifetime Value & Revenue Intelligence
July 1, 2024 – June 30, 2026
Built CLV and customer segmentation models analyzing 50,000+ customer transactions using SQL, Python, and statistical techniques. Identified nearly 65% revenue concentration from key customer segments enabling targeted retention and growth strategies. Developed predictive revenue forecasting models improving business planning accuracy by 10-12%. Applied hypothesis testing and analytical experimentation techniques improving conversion and decision-making outcomes. Delivered real-time Power BI dashboards enabling stakeholders to monitor customer behavior, revenue trends, and KPI performance.
Operational & Financial Performance Analytics
July 1, 2023 – June 30, 2024
Conducted operational analytics on 25,000+ records identifying bottlenecks, SLA deviations, and process inefficiencies. Reduced SLA breaches from 17% to 9% through root cause analysis and operational reporting enhancements. Automated reporting and dashboard workflows improving operational efficiency by 40%. Built executive dashboards tracking KPIs, operational performance, financial metrics, and trend analysis. Performed data validation and integration checks ensuring reliable reporting and operational consistency.
Customer Retention & Churn Analytics
March 1, 2022 – June 30, 2023
Developed churn prediction and customer retention models analyzing 15,000+ customer records. Identified 18% high-risk customer segments enabling proactive customer success and retention initiatives. Performed cohort analysis, segmentation, and customer lifecycle analysis uncovering engagement and behavioral trends. Built interactive dashboards monitoring churn, engagement, customer retention, and operational KPIs. Delivered actionable recommendations improving customer experience and retention reporting visibility.
Retail Sales & Margin Analytics
September 1, 2021 – February 28, 2022
Analyzed 20,000+ sales and operational records identifying revenue trends, pricing opportunities, and business growth insights. Conducted ad-hoc analysis supporting pricing optimization, operational reporting, and strategic decision-making. Identified approximately 3% margin improvement opportunities through SQL-based reporting and analytical insights. Developed Tableau dashboards tracking sales KPIs, operational performance, and revenue analytics. Supported data-driven business planning and executive reporting initiatives.
Cultural Fit Analysis
The candidate's project diversity, covering customer lifetime value, operational performance, customer retention, and retail sales, indicates adaptability and a broad understanding of business domains. Their experience in a fast-paced environment and collaboration with multiple stakeholders suggests a good fit for dynamic teams. The focus on delivering measurable business outcomes aligns with a performance-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving abilities (e.g., root cause analysis for SLA breaches), and a results-oriented approach. Their experience in agile environments and managing multiple initiatives suggests good organizational and time management skills. The ability to translate complex data into actionable insights and present them to stakeholders indicates strong communication and data storytelling skills.