Data Analyst · Business Intelligence

Turning data into decisions people actually use.

I'm Srivani — a data analyst with 7+ years of corporate experience gathering requirements, profiling and validating structured datasets, and designing dashboards and reports that drive decision-making for stakeholders across global teams.

View my work See experience LinkedIn ↗

7+ Years in data analysis & BI

PL-300 Microsoft Certified Power BI Data Analyst

4 Enterprise & e-commerce engagements

Experience

Built across e-commerce, retail, and enterprise ops.

From BI consulting for global e-commerce clients to enterprise operations, each role has sharpened how I turn data into decisions stakeholders can act on.

Innowave Sep 2021 – Jul 2023 Proximus · Belgium & Portugal

Lead Business Analyst Consultant

Gathered business requirements and built interactive Power BI dashboards and semantic models. Performed EDA and data profiling, and used SQL/Python to validate and reconcile data supporting UAT.

Genpact Dec 2018 – Aug 2019 Aulani · United States

Assistant Manager

Developed dashboards and automated reports in Adobe Analytics. Analysed A/B test results and digital performance trends into data-driven recommendations for Product Owners.

Capgemini Mar 2016 – Dec 2018 Goodman Fielder · Australia & NZ

Process Lead

Managed accounts receivable reporting from SAP aging reports, led the Salesforce-to-Webcollect migration as main point of contact, and delivered a reminder-email automation enhancement.

Oracle India May 2013 – Mar 2016 Senior Analyst

Senior Analyst

Validated software order bookings for documentation accuracy and compliance, acted as team SME training new joiners, and led the Q-to-GOM tool migration after legacy system decommissioning.

Selected work

A project built the way I'd approach a real client engagement.

A self-directed Power BI project mirroring the structure and rigor of client dashboard work — data modeling, DAX, and an executive-ready narrative.

Shopify Sales Analytics — Power BI Project

Power BI · PBIP

End-to-end dashboard analyzing 24 months of e-commerce sales data — revenue trends, customer retention, marketing channel ROI, and product performance, built on a star-schema model with 20+ DAX measures.

$89,858.68 Total revenue

420 Orders

$213.95 Avg. order value

6.9% Refund rate

Revenue by channel type Organic 50.4% · Paid 49.6%

Organic traffic Paid channels (Instagram, Google & more)

View repository ↗

View a featured DAX measure from this project

Revenue_MoM_Growth_Pct =
    VAR CurrentRevenue = [Total_Revenue]
    VAR PriorMonthRevenue =
        CALCULATE([Total_Revenue], DATEADD(DateTable[date], -1, MONTH))
    RETURN
        DIVIDE(CurrentRevenue - PriorMonthRevenue, PriorMonthRevenue)

One of 20+ measures in the model — organized into display folders (Marketing, Trend Measures, % Comparisons) for a clean field list.

Skills & tools

A toolkit for turning data into reporting.

Broad enough to cover requirements through delivery; deep enough to make the analysis hold up.

BI & visualization

Power BI

DAX & Power Query

Tableau

Adobe Analytics

SQL & data platforms

SQL

Snowflake

Python

Oracle & SSMS

Data quality & delivery

EDA & profiling

UAT & reconciliation

Root-cause analysis

Delivery tools

JIRA & Confluence

Git / GitHub

Kibana / Dynatrace / Splunk

Microsoft Certified: Power BI Data Analyst Associate (PL-300) NUS Digital Marketing: Strategies, Models and Frameworks

Connect

Looking to bring data-driven clarity to your team?

I'm always interested in Data Analyst and BI roles where dashboards and data models genuinely change how decisions get made.

Connect on LinkedIn ↗ View GitHub