Data Analyst Analytics

BHUMIKA BHANDARI

New York, NY ***** Open to Relocate 551-***-**** ***********@*****.*** LinkedIn PROFESSIONAL SUMMARY

Accomplished data analytics leader with 7+ years driving analytics innovation at top global companies, delivering a 60% boost in reporting efficiency and a 25% increase in marketing ROI. Spearheaded data strategies for 30+ premier clients generating $2B+ in annual revenue across industries including CPG, healthcare, travel, retail, finance, and media tech. Consistently optimized operations by 30% and led high-performing teams that achieved 95% client retention. Known for technical excellence in SQL, Python, data visualization, and cloud platforms, with a proven track record of translating complex data into C-suite-ready insights that fuel strategic decision-making and measurable business growth. WORK EXPERIENCE

DeVries Global (InterPublic Group - IPG) August 2024 - Present Analytics Manager New York

• Directing analytics strategy and execution as the primary point of contact for business intelligence needs, implementing data-driven solutions that streamlined workflows and reduced reporting turnaround time by 25%

• Streamlining reporting workflows by automating data extraction and transformation using Python, reducing manual report generation time by 60% and enhancing accuracy

• Overseeing 10+ end-to-end analytics projects, aligning reporting needs with business objectives and driving continuous process improvements, improving operational efficiency by 35%

• Collaborating with leadership to define key business questions, delivering data-driven recommendations that optimized budget allocation and increased ROI by 25%

• Managing a high-performing team of 3 on data visualization, reporting and analytics, increasing data literacy by 24% GroupM February 2019 - August 2024

Data Analytics Manager Sr Data Analyst Data Analyst New York

• Led analytics projects end-to-end, from planning through execution, clearly identifying business requirements and aligning them with client objectives across global campaigns, resulting in 25% increase in campaign effectiveness

• Achieved a 70% reduction in manual intervention by implementing Artificial Intelligence (AI) and automation for data analysis across multiple business processes, enhancing the precision of insights by 25%

• Utilized SQL for advanced data modeling, transformation, and validation, creating standardized, scalable pipelines that reduced data inconsistencies by 40% and enabled real-time reporting for billion-dollar clients

• Collaborated cross-functionally with marketing, product, and sales teams to identify trends in user behavior, optimize funnels, and deliver strategic recommendations that improved lead quality and conversion rates

• Managed large-scale databases, ensuring data integrity and analytics readiness through robust validation practices

• Mentored and trained a team of 9 individuals, fostering improved performance and their professional advancement Senior Data Analyst (GroupM)February 2021 – October 2023

• Enhanced data accessibility by implementing an ETL pipeline in a cloud environment, accelerating data extraction by 70% from multiple sources

• Built robust dashboards & reports to visualize key marketing KPIs such as ROAS, CTR, and customer LTV, helping stakeholders make data-driven decisions in real time

• Aggregated and analyzed large & complex datasets, performing quantitative and qualitative analysis to identify key trends, leading to a 30% improvement in decision-making efficiency

• Delivered strategic insights to senior leadership, leveraging strong verbal and written communication skills to bridge complex analytical findings with business objectives, driving a 20% acceleration in decision-making

• Evaluated A/B testing (in Excel & Tableau) to optimize website conversion rates, driving a 12% increase in online sales Data Analyst (GroupM)February 2019 – January 2021

• Formulated data-driven plans to analyze large historical data and forecast sales using Tableau for Business

• Utilized advanced data analysis techniques to identify trends, patterns, and anomalies in historical data to track performance against different KPIs, driving a 20% increase in actionable insights that supported company growth TECHNICAL SKILLS

Data Analysis & Programming: SQL (Oracle, MySQL, MS SQL Server, MS Access, Snowflake), Python, MS Excel Data Visualization: Tableau, Power BI, Looker Studio, Datorama Marketing & Web Analytics: Google Analytics, Tag Manager, Adobe Analytics, Salesforce, Infegy, Meta Ad Manager Cloud Platforms: Google Cloud Platform (BigQuery), MS Azure (ADF, Pipelines, ETL) Project Management: JIRA, Wrike, MS Office (PowerPoint, Word) EDUCATION

Master of Science (MS) in Information Systems Pace University, New York January 2016 - December 2017 Bachelor of Science (BS) in Computer Science Gujarat Technological University, India June 2011 - June 2015

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