Help & Supportcareers@gravityer.com
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 Analyst with 1+ years in Power BI, Tableau & SQL
Data Analyst with 1+ year of experience in advanced analytical technologies like Power BI, Tableau, Python, Alteryx, SQL, and Advanced Excel. Designed complex dashboards in Tableau & Power BI using advance feature and functionalities. Skilled in SQL for writing queries, joining tables, and extracting data from databases. Created Alteryx workflows & macros using with transformations like cross tab, multi-row & transpose etc. Strong in data modelling, DAX, measures, and calculated columns, with experience in cleaning & analyzing datasets to identify key trends and business opportunities.
Delhi University
Bachelor of Commerce
August 1, 2020 – June 30, 2023
CBSE
Senior Secondary · Commerce with Maths
June 1, 2019 – May 31, 2020
CBSE
Secondary
June 1, 2017 – May 31, 2018
Neubotic
Data analyst
September 1, 2024 – Present
India
E-Commerce Business Sales Dashboard
September 1, 2024 – June 1, 2026
Track sales trends, regional performance, and top-selling categories to identify growth opportunities. Used Python (Pandas) to clean and standardize raw sales data, handled missing values; wrote SQL queries to extract transactional data. Designed interactive Tableau dashboard with YoY sales comparison and charts. Enabled identification of underperforming Products and categories, assisting management in strategic decision-making.
Operations Workflow Optimization
September 1, 2024 – June 1, 2026
Reduced manual reporting time and improved operational efficiency in task tracking. Built Automated task workflow in Alteryx using tools like Input Data, Filter, Join, and others; cleaned and standardized data and Also, Prepared Tableau dashboards using standard and custom charts to monitor weekly performance. Delivered key insights to identify delays, balance workloads, and track performance. Reduced manual reporting time by 50% and improved operational efficiency by 20% through automation.
Data Automation for Marketing Spend
September 1, 2024 – June 1, 2026
Analyzed campaign-wise product costs to optimize marketing strategies. Developed ETL workflow in Alteryx to transform and analyze daily product costs; applied joining and Data Preparation tools to calculate cost per product per campaign; created dashboards for insight generation. Identified best-performing products across campaigns, assisting in data-driven marketing decisions.
CRM Issue and DSAT/CSAT Trend Analysis
September 1, 2024 – June 1, 2026
Identified recurring CRM issues to improve customer support efficiency. Analyzed CRM data using SQL to find key issues such as ticket auto-closure, delayed resolution, and agent assignment failures; built Power BI dashboards for SLA breaches, agent-wise performance, DSAT and CSAT analysis. Identified key issues like ticket auto-closure, delayed resolution, agent assignment failures and DSAT misattribution issues. Shared actionable insights with support and development teams, leading to reduced complaints and faster issue resolution to fix system bugs.
360-Degree data science
TrainingYA
June 1, 2026 – Present
Microsoft Power BI Fundamentals
Unknown
June 1, 2026 – Present
Alteryx Foundation Micro-Credential
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical business problems across marketing, sales, and operations, which aligns with a data analyst role. The use of diverse tools (Alteryx, Power BI, Tableau, SQL, Python) shows adaptability. However, with only one current work experience listed as 'Data analyst' starting in Sep 2024 (future date), and an experience level of 1, the depth of professional exposure and cultural alignment with a senior role is difficult to fully assess. The certifications indicate a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business problems into data analysis tasks and deliver actionable insights. The focus on reducing manual reporting time and improving operational efficiency suggests a results-oriented approach. However, without direct assessment data on soft skills, a comprehensive evaluation of operational fit is limited.