Position:
Data Analyst
Company:
Accertify, Inc.
Location:
Gurgaon, Haryana, India
Job Type:
Full-time
Job Mode:
Hybrid (3 days in-office per week)
Job Requisition ID:
Not specified
Years of Experience:
Not specified; looks like a fresher entry level role as per the JD; 0-3 years
Company Description:
Accertify, Inc. is a globally recognized leader in digital risk assessment, providing solutions for Account Monitoring, Payment Risk, Refund Fraud, and Dispute Management.
The company’s mission is to help businesses enhance user experience and revenue while minimizing risks and customer friction.
Accertify delivers high-speed decision-making capabilities, offering clients precise control over risk management processes.
With a customer-centric approach, Accertify empowers organizations to maintain security without compromising efficiency.
The company’s solutions are designed to cater to diverse industries, including e-commerce, travel, financial services, and more.
Accertify utilizes cutting-edge technology, data analytics, and artificial intelligence to detect and prevent fraudulent activities.
Headquartered in the United States, Accertify operates globally, serving some of the largest enterprises across various sectors.
The company is committed to innovation, continuously improving its risk assessment models and fraud prevention tools.
Accertify’s team consists of skilled professionals specializing in data science, machine learning, cybersecurity, and financial analytics.
As a part of American Express, Accertify benefits from extensive resources, industry expertise, and a global reach.
Profile Overview:
The Data Analyst role at Accertify is instrumental in collecting, analyzing, and interpreting large datasets to drive informed business decisions.
The position requires working closely with cross-functional teams to identify data needs and provide analytical solutions.
The role involves developing and maintaining dashboards, reports, and models to monitor key performance metrics.
Data Analysts are expected to extract meaningful insights from raw data, recognizing trends, anomalies, and opportunities.
Strong technical proficiency in SQL, Excel, and data visualization tools is crucial for success in this role.
The analyst will contribute to improving data quality and integrity, ensuring accurate and reliable analysis.
A key responsibility includes presenting findings and actionable recommendations to stakeholders in a clear and compelling manner.
The role demands continuous learning and adaptation to industry trends and emerging technologies in data analytics.
Collaboration with business stakeholders is essential to understand challenges and develop data-driven strategies.
The ideal candidate should have a mix of technical expertise, problem-solving abilities, and strong communication skills.
Qualifications:
Technical Skills:
Expertise in SQL, Excel, and PowerPoint for data extraction, manipulation, and presentation.
Hands-on experience with data visualization tools such as Tableau or Power BI.
Knowledge of C# is an added advantage but not mandatory.
Familiarity with data management platforms, data lakes, and data warehouses.
Exposure to CRM platforms and customer data analytics is a plus.
Functional Skills:
Strong analytical capabilities to process large datasets and extract meaningful insights.
Ability to identify patterns, trends, and anomalies within data.
Proficiency in statistical methods, including hypothesis testing and regression analysis.
Detail-oriented mindset with the ability to handle structured and complex data.
Capability to develop and maintain data models, dashboards, and reports for business use.
Behavioral Skills:
Strong verbal and written communication skills for effectively conveying insights to both technical and non-technical audiences.
Ability to work both independently and collaboratively within a team-oriented environment.
Problem-solving mindset with a proactive approach to identifying and addressing business challenges.
Adaptability to changing priorities, deadlines, and business requirements.
Ability to present data-driven recommendations to senior stakeholders with clarity and precision.
Academic Background:
Bachelor's degree in Mathematics, Statistics, Computer Science, or a related discipline.
Additional certifications in data analytics, business intelligence, or relevant technologies are a plus.
Additional Info:
The role is based in Gurgaon, Haryana, and requires a hybrid work setup with three days of in-office presence per week.
Candidates must be eligible to work in India; Accertify does not provide visa sponsorship for this position.
The position offers exposure to a global work environment and opportunities to collaborate with industry experts.
Employees will have access to cutting-edge tools, training programs, and professional development initiatives.
The company values innovation, fostering a culture where employees are encouraged to experiment and improve processes.
Accertify provides a supportive work environment, emphasizing work-life balance and employee well-being.
The company maintains high ethical standards and a commitment to data security and customer privacy.
Employees will have the opportunity to work on real-world data challenges, contributing to impactful decision-making processes.
The role offers career growth opportunities, including mentorship, skill enhancement, and potential leadership roles.
Accertify’s collaborative culture ensures that employees have the support and resources needed to excel in their careers.
Please click here to apply.
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