Mar 2024 – Dec 2024 · 9 mos

Mar 2023 – Dec 2024 · 1 yr 9 mos

Mar 2021 – Dec 2024 · 3 yrs 9 mos

• Senior Business Intelligence Analyst at TriNet

Jul 2020 – Feb 2021 · 7 mos · Bengaluru, Karnataka, India

• Worked as a Lead Data Analyst for TPx Client, a telecom service provider based in US.
• Initiated Data Usage reports for clients like AT&T, Verizon, and others that show the customer, SIM and plan trends.
• Prepared Overage charge reports for the same clients so Management can have greater visibility of the billed charges.
• Pursued conversion of Finance reports to Tableau so information could be streamlined across the Organization.
• Participated in Optimization of network circuits in multiple categories, collecting and visualizing data for the same.
• Setting up and aggregating Tableau connections to databases used by business units and maintenance of these.

Sep 2018 – Mar 2019 · 6 mos · Los Gatos, California

• ▪ Reported on turn-around times, on time deliveries, abandonments, errors for video assets produced through Origination every month. Identified trends and performance using these metrics and areas of improvement for linguists and their vendors.
• ▪ Acted as the chief liaison for tracking video titles delivered, new languages launched and their outcome over time, vendor, type.

May 2017 – Nov 2017 · 6 mos · San Francisco, California

• Generated reports in Tableau and Excel supporting SAM, Finance, Product Management and Marketing in performing critical tasks. Scripted SQL queries to run across environments to obtain relevant data which would then be used for reporting.
• Maintaining and Administering Client Reports written in SQL and creating, publishing, customizing extracts for tableau reports.
• Worked with Product team to identify internal product performance metrics and monitor performance; provided weekly reports on product trends and insights in Tableau and Looker; extrapolated insights and opportunities for product adjustment.

Sep 2016 – Mar 2017 · 6 mos · Redwood Shores, CA

• Used predictive analytics for driving Arc platform performance using historical and real-time data extracted from Redshift using scripting and SQL. Applied data extraction, transformation, loading techniques to create platform reports to monitor usage.
• Compiled impactful reports in Tableau for various KPI’s that helped analyze buying, retention and churn. Created end-to-end game and user funnels in Google Analytics to match the impact of campaigns, spending potential and outcome achieved.
• Investigating the change requests for Arc Platform frontend and backend, prepare use case scenarios and propose workflow; initiate task after presenting it to the business users and driving the implementation through next release.

Jul 2015 – Oct 2015 · 3 mos · Livermore, CA; Fremont, CA

• Worked with cross-system Analysts, gathered relevant data sources, generated insights from analysis and presented findings to key stakeholders using Qlik tool; handled complex ad-hoc data & analysis requests for SAP business workflows.
• Participated in Business Process Optimization and Improvement for various SAP modules.
• Created automated test scripts for SAP FICO and Purchasing using Worksoft tools which improved the unit test cycle by 70-80%.

Sep 2014 – Jun 2016 · 1 yr 9 mos · Santa Clara, CA

• Leavey School of Business, Department of Information Systems

Dec 2009 – Aug 2013 · 3 yrs 8 mos · Visakhapatnam, India

• Conducted requirements gathering, prepared feasibility reports, technical specification documents and outlined project targets.
• Performed data analysis using SQL, OBIEE on open source data and identified opportunities available.
• Served as the liaison between the customer community (internal and external customers) and the IT development team.
• Collaborated with Product owner and scrum team on tasks related to the planning, scheduling and coordination of project activities. Participated in software estimation process and onboarding resources.
• Initiated the deployment of project releases, maintaining of status reports and business metrics.
• Dissect high-level information into details with appropriate documentation and communicated these details in a manner understood by relevant audiences and stakeholders.