Tanishka Anand

Data Analyst

Ranchi, Jharkhand 4+ yrs exp 93 · Outstanding

About

Data Analyst transitioning from data engineering into analytics, backed by corporate ETL experience at Accenture and a self-directed portfolio of end-to-end analytics projects spanning product, sales, and customer intelligence domains. Skilled in SQL, Power BI, Python, and Excel. Experienced in translating data into business decisions — from diagnosing operational failures to validating AI-generated insights. Seeking remote analytics roles where analytical depth and structured thinking drive measurable outcomes.

Skills & Expertise (42)

SQL Advanced

8.3/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Excel Advanced

8.0/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

DAX Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

6.5/10

Years Exp

Agile Intermediate

6.5/10

Years Exp

Jira Intermediate

6.0/10

Years Exp

Cohort Analysis Funnel Analysis Retention Analysis Customer Segmentation Conversion Analysis KPI development Root Cause Analysis Revenue Analysis Anomaly Detection Dashboard Design Data Storytelling Stakeholder Reporting Executive Reporting Requirements Gathering Presentation Insight Communication AI-Assisted Analysis Scrum Reconciliation Data Validation A/B testing Hypothesis Testing EDA Macros XLOOKUP Pivot Tables Seaborn Matplotlib NumPy Pandas SQL Server MySql

Work Experience

Data Analyst

Independent

Feb 2024 - Present

Delivered three end-to-end analytics engagements across product, B2B sales, and customer intelligence domains — owning the full lifecycle from data ingestion and cleaning through SQL modelling, statistical analysis, dashboard delivery, and stakeholder-facing recommendations. Built production-grade SQL analytical layers on datasets from 2,800 to 1M+ records using CTEs, window functions (NTILE, LAG, RANK), cohort indexing, and multi-table joins to support retention, segmentation, and revenue-diagnostic reporting. Designed and published three multi-page Power BI dashboards with DAX measures, calculated columns, row-level slicers, and drill-through navigation, each structured for distinct stakeholder audiences across Growth, Operations, Finance, and Commercial functions. Quantified business impact through root-cause and revenue-leakage analysis — surfacing ₹169L monthly revenue leakage from ride cancellations and £382K in recoverable annual revenue via RFM and K-Means customer segmentation. Established an AI validation methodology benchmarking LLM-generated business insights against SQL-verified ground truth across 2,823 sales records, documenting accuracy gaps and defining a corrective human-in-the-loop review process.

Data Engineering Associate

Accenture Solutions Pvt. Ltd.

Oct 2022 - Feb 2024

Wrote and executed SQL queries across 15+ tables in a multi-million row dataset to validate data transformations, verify source-to-target mappings, and ensure accuracy of ETL outputs. Implemented weekly data changes — schema updates, new field additions, mapping logic — based on requirement documents, within a fixed weekly delivery cycle. Investigated production data issues by analyzing pipeline logs, identifying root causes, and documenting resolution steps to prevent recurrence. Reviewed Business Requirement and Functional Requirement Documents to translate business logic into SQL-level validation rules, and participated in UAT with business stakeholders to validate data accuracy against live requirements. Collaborated in Agile/Scrum team of 20+ across data engineering, cloud, BI, and UI functions — responsible for data layer accuracy within a client-facing tracking application.