Data Analyst with 2+ years in Business Analytics & Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data visualization professional with 2.4 years of experience spanning Business Analytics and Business Intelligence using Looker, Power BI, SQL, DOMO, Snowflake, and Advanced Excel. Experience building dashboards using LookML coding, Magic ETL in DOMO, and Data Visualization in Looker. Built various dashboards that depict critical KPIs such as the Sales team's performance, customer churn analysis, Customer on boarding, Training Performance dashboards, and Retail Sales Analysis Dashboard. Created & Enhanced the Looker explores functionality by adding drill-downs, Drill paths, Conditional formatting & calculated fields using Beast Mode. Designed LookML dimensions and build Explores. Performed dashboards and reports migration from PowerBI to Looker.
VYSYA COLLEGE
Master Of Philosophy (M. PHIL)
August 1, 2015 – June 30, 2016
KSR COLLEGE OF TECHNOLOGY
Master Of Computer Application (MCA)
August 1, 2011 – June 30, 2014
Nuware
Software Engineer
February 1, 2023 – June 1, 2024
India
GLOBAL WE CONNECT TECHNOLOGIES
LOOKML DEVELOPER (3 ANALYTICS)
December 1, 2022 – February 1, 2023
India
GLOBAL WE CONNECT TECHNOLOGIES
LOOKML DEVELOPER
April 1, 2022 – December 1, 2022
India
HANDS-ON ESSENTIALS – DATA WAREHOUSE
Snowflake Cloud Data Warehouse
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple projects and companies, though within a short timeframe, indicates adaptability. The focus on data visualization and reporting aligns well with a data-driven culture. The mention of collaborating with engineers and responding to stakeholder needs suggests a team-oriented approach. However, the lack of diverse project types beyond Looker development limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a bias for action, as evidenced by their ability to internalize goals and work independently. They also show an ability to respond to high-priority requests and collaborate with engineers. The descriptions suggest an operational fit for roles requiring detailed reporting and data quality assurance.