Nikita Tiwrekar
Data Analyst @Cognizant
Signup · Get unlimited contacts
WORK HISTORY
Data Analyst @Cognizant
Engineered ETL pipeline using Python, dbt, and Snowflake that integrated 5 disparate data sources, reducing data preparaGon Gme by 38%.• Streamlined Excel-based reports by migraGng to a Snowflake backed Tableau environment, cuLng report genera:on :me by 60% andenabling self-service analyGcs for 20+ business users.• Supported ad-hoc data requests by wriGng SQL queries in AWS RedshiF and using Python (Matplotlib) to generate visualizaGons for stakeholder presentaGons.• Analyzed data model outputs using Advanced Excel (Pivot Tables, Power Query) and presented findings on data quality issues to project leads during weekly status meeGngs.• Briefed stakeholders with structured quarterly analyGcs presentaGons, translaGng predicGve model outputs into plain-language risk miGgaGon strategies for non-technical stakeholders.
EDUCATION
The University of Toledo
Master of Business Administration - MBA, Information Science/Studies
University of Mumbai
Bachelor's degree, Business, Management, Marketing, and Related Support Services
ABOUT NIKITA TIWREKAR
Data Analyst with 4+ years of experience turning complex data into measurable business impact across IT and Finance domains. I specialize in building scalable data pipelines, automating reporting, and delivering actionable insights that drive faster, smarter decisions. In my recent work, I: Reduced data preparation time by 38% by building ETL pipelines using Python, dbt, and Snowflake Cut reporting time by 60% by migrating legacy Excel reports to Tableau-based self-service dashboards Eliminated 15+ hours/week of manual reporting through automated BI solutions Delivered insights from A/B testing and analytics impacting 100K+ users My core strength lies in combining strong technical skills (SQL, Python, Snowflake, AWS) with a deep understanding of business needs. I regularly work with Product, Finance, and Operations teams to define KPIs, uncover trends, and translate data into clear, decision-ready insights. I’m also experienced in: Advanced SQL (CTEs, window functions, query optimization) Data visualization (Tableau, Power BI) Statistical analysis (A/B testing, regression, hypothesis testing) Cloud data platforms (AWS Redshift, S3, BigQuery) ETL & data modeling (dbt, Airflow) Recently, I’ve contributed to Generative AI-driven solutions, including a chatbot that automated 60% of customer queries and improved operational efficiency. I’m passionate about solving real-world problems with data and continuously improving how businesses use data to scale. Open to opportunities in Data Analytics, Business Intelligence, and Product Analytics
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.