Hybrid Data Engineer

at Dun & Bradstreet

• Job title: Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Hyderabad, India

About the role

• Data Analyst supporting data-driven decisions through data collection, cleaning, and analysis at an operations team in Hyderabad, India.

Responsibilities

• Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources.
• Provide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
• Investigate/adjudicate/conduct open-source research on businesses.
• Review and test data to ensure it meets high standards of quality, accuracy, and reliability.
• Identify and implement continuous improvements in data collection and delivery processes.
• Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and solve problems with limited supervision.
• Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.

Requirements

• Bachelor's degree in data science, Information technology, Computer Science, Mathematics, Statistics, Economics or a related field.
• 3+ years of experience in data analysis, visualization, statistics, and/or data manipulation.
• Strong technical aptitude with proficiency in Microsoft office suite, as well familiarity with SQL or other programming or scripting languages (e.g. Python).
• Experience with data transformation processes and exposure to both standard and complex data types.
• Passionate and curious about data, with the ability to query and analyze datasets to drive fact-based decisions.
• Results-oriented and capable of working independently while managing multiple priorities.
• Ability to interpret and translate data into meaningful business insight.
• Ability to operate with a sense of urgency and meet critical deadlines.
• Strong organization, decision-making, and analytical skills.
• Strong verbal, written and interpersonal communication skills.
• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Where applicable, fluency in English and languages relevant to the working market.