Data Engineer (R-19108)
Eyeota
Software Engineering, Data Science
Hyderabad, Telangana, India
Posted on Apr 17, 2026
As a data analyst, you will play a vital role in supporting our data-driven decision-making processes. Your primary responsibilities will include collecting, cleaning, and analyzing data from various sources. You will perform exploratory data analysis to identify patterns and trends, create basic visualizations to present findings, and prepare reports to communicate insights to team members and stakeholders. Additionally, you will collaborate with different departments to understand their data needs and assist in maintaining and optimizing datasets for efficient data storage and retrieval.
Key Responsibilities:
- Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources.
- Engage in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
- Review and validate data to ensure it meets high standards of quality, accuracy, and reliability.
- Support continuous improvements in data collection and delivery processes.
- Contribute to the creation of tools for monitoring and reporting.
- Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and participate in problem-solving.
- Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.
- Provide analysis and drive modern solutions and efficiencies in our processes.
Key Skills:
- Bachelor's degree in data science, Information technology, Computer Science, Mathematics, Statistics, Economics or a related field.
- 1+ years of experience in data analysis, visualization, statistics, and/or data manipulation
- Experience in data visualization, analysis, statistics and/or data manipulation is a plus.
- Strong technical aptitude with proficiency in Microsoft office suite.
- 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 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.
