Priya Tiwari

Business Development Executive

Panvel, Maharashtra, India3 yrs 7 mos experience

Key Highlights

3+ years of experience in data analytics across retail and tourism.
Expert in building Power BI dashboards for KPI tracking.
Proficient in Python and SQL for data processing and analysis.

Stackforce AI infers this person is a Data Analyst with expertise in Retail and Tourism analytics.

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Skills

Core Skills

Data AnalysisData Visualization

Other Skills

PythonSQLPower BIAdobe AnalyticsDAXBeautifulSoupHTMLCSSJavaScriptTableauAnalytical SupportSupply Chain ManagementWeb MiningQualitative DataCommunication

About

Data Analyst with 3+ years of experience across retail and tourism industries, delivering business impact through data-driven insights and performance analytics. Currently at Accenture, I work on retail trading analytics, building centralized Power BI dashboards to track traffic, conversion, stock, sales, and funnel KPIs. I leverage Python and advanced SQL for large-scale data processing, competitor pricing analysis, and automation to support commercial decision-making. Previously at eClerx, I worked in the tourism domain, developing Cruise Line Scorecards in Tableau to monitor revenue, booking funnels, occupancy, and regional performance, while conducting detailed root cause analyses to improve business outcomes. Skilled in Python, SQL, Power BI, Tableau, Adobe Analytics, GA4, A/B testing, Excel and stakeholder management — I focus on turning complex data into actionable strategies that drive growth.

Experience

3 yrs 7 mos

Total Experience

2 yrs

Average Tenure

1 yr 7 mos

Current Experience

Accenture

Associate

Oct 2024 – Present · 1 yr 7 mos · Mumbai · Hybrid

Leveraged Python (Pandas, NumPy, SciPy, Scikit-learn, pyspark) to clean, preprocess, and analyze large datasets, reducing
data inaccuracies by 25%.
Designed centralized trading dashboards in Power BI (DAX, Power Query, data modeling) to conduct daily, weekly, yearly, and
trade-adjusted KPI analysis across traffic, conversion, availability, funnel performance, stock, and sales, driving real-time
insights and cross-functional decision-making
Improved add-to-cart performance across homepage, checkout, promotional carousels, and seasonal collections using Adobe
Analytics insights (Workspace dashboards, Funnel Analysis, and Calculated Metrics) to identify behavioral gaps and drive
targeted optimizations.
Strengthened commercial decision-making by conducting competitor pricing analysis for hero products using Python
(Selenium, BeautifulSoup, Pandas) to automate web scraping and deliver structured competitor intelligence reports.
Expertise in designing and optimizing complex sql queries using multi-joins, nested subqueries, CTEs, window functions,
indexing strategies and data transformation logic for analytical reporting.
Designed and optimized Power BI data models using star schema principles, advanced DAX calculations, and RLS
implementation to ensure secure, high-performance KPI reporting.
Coordinated end-to-end A/B testing and statistical analysis (hypothesis testing, pre-post impact analysis) to evaluate
marketing campaigns and drive measurable business outcomes.
Employed Advanced Excel functions (VLOOKUP, Pivot Tables) for in-depth data analysis and report creation, reducing manual
work by 2 hours and increasing workflow efficiency.

PythonSQLPower BIAdobe AnalyticsData AnalysisData Visualization

Eclerx

Senior Analyst

Oct 2022 – Oct 2024 · 2 yrs · Navi Mumbai

Performed end-to-end digital analytics QA using ObservePoint to validate Adobe Analytics tracking (eVars, props, events)
across user journeys, ensuring data integrity for reporting and business decision-making. Supported implementation
using HTML, CSS, and JavaScript for tag debugging and performance optimization.
Built Python-based API integrations using OAuth 2.0, Flask, Requests, and Pandas to extract, clean, and transform data
from Adobe Analytics and GA4, delivering structured daily, weekly, and annual KPI tracking reports to support business
insights.
Utilized Google Analytics and Adobe Analytics to track user behavior and identify trends in user engagement &
retention, which led to 20% rise in conversions.
Performed competitor data analysis using Similar-web to evaluate traffic share, acquisition channels, audience
engagement metrics, and keyword strategies, translating insights into actionable recommendations for campaign
optimization and market expansion.
Streamlined and optimized SQL query operations, successfully reducing processing times by over 50%, thus
enhancing overall database efficiency and response times for business-critical operations.
Used statistical analysis and predictive modeling in ad targeting, segmentation to enhance campaign precision.
Delivered actionable insights via PowerPoint for U.S. clients, enhancing market growth and optimizing business strategies through
collaboration with sales and trading teams.
Led the development of enterprise Cruise Line Scorecards in Tableau, tracking revenue, booking funnels, occupancy, and customer
engagement KPIs across regions. Provided strategic insights to leadership and performed detailed RCAs to address anomalies and
drive performance improvements