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3.9

based on 902 Reviews

Video summary

135 PayPal Jobs

Business Intelligence Analyst 2

PayPal Holdings, Inc.

3.9

based on 902 Reviews

3-6 years

₹ 31.5 - 24L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Business Intelligence Analyst 2

PayPal

posted 5d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Data Analytics Information Technology Analytical Chemistry Instrumentation Engineering Data Visualization

+ 2 more

Job Description

Join our innovative PayPal Service Experience Analytics team and be part of delivering transformative business insights! As a Business Intelligence Analyst, you will lead in gathering requirements, analyzing data, developing impactful reports, dashboards, and visualizations to drive PayPal s servicing experience strategy. This role is perfect for someone passionate about data analytics, data visualization, strategy and driving innovation.

Your way to Impact

We are seeking an exceptional, execution focused Business Intelligence Analyst for the Servicing Experience Analytics team with a passion for data analytics, data visualization and statistics to drive strategy and innovation.

You are curious and inquisitive: love digging into data and uncovering insights

You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling

You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance

You are a not afraid of rolling up your sleeves and jumping into details .

Your day to day

As a Business Intelligence Analyst, you will lead in gathering requirements, analyzing data, programming data models, developing impactful reports, dashboards, and visualizations to drive PayPal s service experience strategy.

Become a domain experiment on servicing and customer experience and conduct rigorous data analysis to drive meaningful financial benefit for PayPal. Deep dive a naly sis including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections and other ad-hoc analysis on PayPal product and customer experience data to identify and address customer pain points.

Synthesize large volumes of data and develop data models to enable development of key business metrics. Clean, manipulate, and merge data from diverse datasets to enable creating compelling data stories .

Collaborate with product engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines . Partner with data engineers , product engineers and data scientists to build robust data structures and streamline multi-system processes.

Collaborate with cross-functional analytics teams for rigorous exploratory data analyses to guide customer experience strategy , analyze business performance and health, triage issues and create executive-friendly info-insight packets .

Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features .

Define and cultivate best practices in analytics instrumentation and experimentation. Evaluate, recommend key KPIs and track experiments for impact on servicing experience.

Design and develop high-quality dashboards and analytical tools for delivering insights.

Support multiple projects at the same time in a fast-paced, results-oriented environment .

What do you need to bring

3+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions.

3+ years of recent SQL development (like Teradata, Big Query) and scripting languages (like Python, R) with a deep understanding of structured and unstructured databases. Comfortable working with large, complex, and potentially messy datasets.

3+ years of progressively responsible experience in the field of software engineering, business intelligence or data analysis.

Strong experience using Jupyter Notebooks and scripting to perform data analytics.

Bachelor s degree or foreign equivalent in in Computer Science, Information Technology, Mathematics, Software Engineering, or closely related quantitative discipline or equivalent work experience.