Highlights
Data-driven decision making, SQL proficiency, Tableau dashboards, Excel expertise, problem-solving
Description
Job Summary
pWe are seeking a Data Analyst to join our dynamic team at Corpay in Chennai. This role focuses on delivering insightful data analytics that support business operations and strategic decision-making. As a key member of the lodging line of business, you will collaborate with various stakeholders to ensure accurate and timely reporting.
Responsibilities
- Deliver regular reporting (daily, weekly, monthly) to support business operations
- Analyze structured and unstructured datasets for actionable insights
- Collaborate with cross-functional teams on data-driven solutions
- Ensure data quality through validation checks and troubleshooting discrepancies
Required Skills
- SQL Proficiency
- Tableau Expertise
- Data Analysis
- Excel Proficiency
- Problem Solving
Required Skills Explained
{'htmlUnorderedList': ['
Strong proficiency in SQL and experience working with relational databases.', '
Experience building production-level dashboards using Tableau.', '
Strong proficiency in Excel for data manipulation techniques.', '
Basic knowledge of Python to handle data analysis tasks.', '
Attention to detail and strong problem-solving skills.', '
Ability to communicate complex insights clearly to non-technical stakeholders.']}
Who is this for
pThis role is ideal for individuals with a passion for data and analytics, who have experience in delivering insightful reports. Candidates should possess strong analytical skills and the ability to translate complex data into actionable insights.
Why This Job is a Good Opportunity
{'htmlUnorderedList': ['liOpportunity to work in a leading Financial Technology organization shaping the future of commercial payments.', 'liPotential for growth within Corpay’s specialized payment solutions domain.', 'liHybrid working environment offering flexibility while being based in Chennai office.', 'liDedicated team focused on innovation and creating new ways to pay, fostering a dynamic work culture.', 'liAchieve real business impact by providing actionable insights that drive revenue and operational efficiency.']}
Interview Preparation Tips
{'htmlUnorderedList': ['
Review SQL queries and dashboards you have created in the past to discuss examples of your work.', '
Prepare case studies on how data analysis has helped resolve business challenges or improve operations.', '
Study Tableau functions and practices for creating production-level dashboards, as this is a key skill required.', '
Practice explaining complex data insights in simple terms to demonstrate your ability to communicate effectively.', '
Research Corpay’s products and services to show your enthusiasm about the role within their organization.']}
Career Growth in This Role
{'htmlParagraphs': ['In this Data Analyst position at Corpay, there is significant potential for career growth. As a Data Analyst, you can expect opportunities to move into more specialized roles such as Business Intelligence Analyst or even Data Scientist with further experience and skill development.', 'The role offers exposure to various business units including lodging, which can lead to deeper expertise in the hospitality industry. Additionally, Corpay’s focus on innovation opens doors for those interested in leading projects that drive technological advancements within payment solutions.', 'With the right ambition and skills, you could also explore opportunities in data engineering or take up leadership roles as a Manager of Data Analytics teams, where you can mentor other analysts and drive strategic initiatives.']}
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Skills
Frequently Asked Questions
What are the working hours for this role?The role operates on a hybrid schedule with office hours from 12:00 PM - 9:30 PM IST.
Is previous experience in the lodging industry required?Previous experience is desirable but not mandatory. We are open to candidates who can adapt and learn quickly within our domain.
What tools will I be working with?You will be using SQL, Tableau, Excel, and possibly Python for data analysis and reporting.