Business Intelligence & Strategy Analyst

Ananya Sharma

Professional Summary

Data-driven analyst with 2+ years of experience in consulting, business intelligence, digital product strategy, and market research. Proven ability to lead cross-functional research initiatives, automate reporting, and translate insights into business impact. Strong communicator with expertise in stakeholder alignment, visualization, and process optimization.

Work Experience

Product Analyst at NexGen Labs NYC

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• Led end-to-end research and automation of 8,500+ user records using Python, NLP, and sentiment analysis, improving data quality by 28% and extracting behavioral trends for strategy refinement. • Designed and implemented LLM-integrated chatbot tools in Agile sprints; managed cross-functional teams, sprint planning, retrospectives, and experimentation cycles aligned to user feedback. • Conducted stakeholder interviews, surveys, and market research to inform KPIs, refine OKRs, and ensure data-driven decision-making. • Benchmarked large language models to guide tooling decisions and align model capabilities with user sentiment. • Synthesized technical research into strategic recommendations for leadership, supporting user-centered solution design.

Marketing Analyst at Elevate Ventures NYC

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• Conducted stakeholder research and post-event survey analysis to improve engagement and program design. • Delivered journey insights and root cause analysis through reports and presentations using Google Analytics, CRM data, and surveys. • Automated campaign dashboards with Looker and SQL to enable real-time KPI tracking and strategic refinement. • Streamlined feedback workflows with Google Forms and Trello, reducing processing time by 27%. • Translated insights into actions across teams, delivering executive-ready reports and supporting roadmap decisions.

Business Intelligence Analyst at BrightPath Analytics

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• Built Qlik Sense dashboards to integrate sales, supply chain, and product metrics; reduced manual reporting time by 38%. • Analyzed regional trends and performance to uncover pricing and distribution strategies impacting sales campaigns. • Gathered business requirements from cross-functional teams to deliver custom reporting aligned with strategic goals. • Presented tailored data insights to senior stakeholders, bridging technical and non-technical communication. • Streamlined ad-hoc report intake with MS Forms and Power Automate; mentored junior analysts and built onboarding materials.

Education

Master of Science in Information Systems

NYC Best Uni for IT

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Skills

Technical Skills

  • Python
  • SQL
  • Exploratory Data Analysis
  • KPI Tracking
  • A/B Testing
  • Root Cause Analysis
  • Hypothesis Testing
  • Excel (PivotTables, VLOOKUP)
  • Stakeholder Interviews
  • Market Mapping
  • Survey Design
  • Qualitative & Quantitative Analysis
  • Tableau
  • Power BI
  • Qlik Sense
  • Looker Studio
  • Jupyter
  • Salesforce
  • Google Analytics
  • PowerPoint
  • Power Automate
  • SharePoint
  • Google Sheets
  • Agile/Scrum
  • Jira
  • Trello
  • SDLC
  • MySQL
  • PostgreSQL

Soft Skills

  • Strategic Thinking
  • Analytical Mindset
  • Attention to Detail
  • Fast Learner
  • Adaptability
  • Executive Reporting
  • Stakeholder Presentations
  • Report Writing

Certifications

Data Analysis and Visualization with Excel

Coursera (Macquarie University)

SQL for Data Science

Coursera (University of California, Davis)

Python Data Structures

Coursera (University of Michigan)

Business Intelligence Concepts, Tools, and Applications

Coursera (University of Colorado Boulder)

Score
82/100
Header
85/100
Education
75/100
Profile
80/100
Skills
88/100
Work Experience
83/100
Certifications
85/100
Projects
0/100
Add a dedicated Projects section showcasing hands-on or academic projects to demonstrate applied skills.
Standardize date formats and employment type labels across work experience and education for consistency.
Enhance the profile summary with more specific metrics and technology mentions to improve keyword density.
Include proficiency levels or years of experience for key skills to aid recruiter assessment.
Add GPA or relevant coursework in education to provide more academic detail.
Strong quantifiable achievements in work experience demonstrating impact and technical proficiency.
Comprehensive technical skill set including programming, BI tools, and data analysis techniques.
Recent and relevant certifications that reinforce expertise in data analysis and business intelligence.
Clear and focused professional summary that aligns well with targeted roles.

Header

85%
Header includes full name, professional headline, location, and multiple relevant links which enhance credibility and ATS parsing.
Consider adding a phone number label and a professional email format to improve clarity and ATS recognition.

Education

75%
Education section includes degree, institution, and dates, which meets basic ATS requirements.
Adding GPA (if strong) or relevant coursework/projects could enhance this section.
Consider formatting dates consistently (e.g., using only month and year) and including location of the institution.

Profile

80%
Summary is concise and well-written, clearly highlighting experience, skills, and impact.
Profile highlights are strong but could be formatted as bullet points in the resume for better ATS parsing and readability.
Adding quantifiable achievements or specific technologies/tools in the summary could further strengthen this section.

Skills

88%
Skills section is comprehensive with a well-balanced mix of hard skills, soft skills, and tools, which aligns well with the candidate's roles.
Ensure skills are grouped consistently and consider prioritizing the most relevant skills at the top for better ATS weighting.
Adding proficiency levels (e.g., advanced, intermediate) could help recruiters quickly assess expertise.

Work Experience

83%
Work experience descriptions are rich with quantifiable achievements and relevant technical skills, which is excellent for both ATS and recruiters.
Use consistent formatting for dates (e.g., month and year) and employment types for clarity.
Consider adding more specific metrics for impact where possible, such as revenue growth or cost savings.
Job titles and company names are clearly stated, which supports ATS keyword matching.

Certifications

85%
Certifications are relevant and recent, supporting the candidate’s technical expertise and continuous learning.
Including certification IDs or URLs to verify credentials could improve credibility.
List certifications in reverse chronological order to highlight the most recent achievements.

Projects

0%
Section missing