Data Acquisition Analyst - Data Collection & Analysis
Job Description: Data Acquisition Analyst
The Data Acquisition Analyst is responsible for sourcing, collecting, and analyzing data from a variety of internal and external data sources. This role plays a key part in transforming raw data into actionable insights to support decision-making processes. The analyst must ensure that data is accurate, reliable, and properly formatted to meet the needs of the organization. A Data Acquisition Analyst typically works closely with data scientists, business analysts, and decision-makers to provide the data required for reporting, analysis, and business intelligence.
Key Responsibilities
- Data Collection: Identify and gather relevant data from various internal and external sources, ensuring data quality and accuracy.
- Data Cleaning & Validation: Clean and validate data to ensure consistency, accuracy, and usability for analysis.
- Data Analysis: Perform data analysis to identify trends, patterns, and actionable insights to support business decisions.
- Data Integration: Integrate data from different sources and prepare it for reporting and analysis purposes.
- Reporting: Generate regular and ad-hoc reports based on data analysis to provide insights and recommendations to stakeholders.
- Collaboration: Work closely with other departments such as business intelligence teams, IT, and marketing to align data with business objectives and needs.
- Database Management: Manage and maintain databases, ensuring data is properly stored and can be easily accessed for analysis.
- Data Visualization: Present findings through clear, visually appealing charts, graphs, and dashboards to make data easy to understand for non-technical stakeholders.
- Data Security: Ensure that all data is handled in compliance with company policies and legal regulations, including data privacy standards.
- Continuous Improvement: Identify opportunities to improve data acquisition processes and the quality of data collected.
Skills Required
- Data Analysis Skills: Strong analytical skills to interpret complex data sets and extract meaningful insights.
- Attention to Detail: High attention to detail to ensure data is collected, cleaned, and processed accurately.
- SQL & Database Knowledge: Proficiency in SQL and experience with various database management systems (e.g., MySQL, PostgreSQL, Oracle).
- Data Visualization Tools: Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
- Excel Expertise: Advanced skills in Excel for data manipulation, analysis, and reporting.
- Statistical Knowledge: Understanding of statistical methods and techniques to analyze data and derive insights.
- Communication Skills: Ability to present data findings clearly and effectively to both technical and non-technical stakeholders.
- Problem-Solving Skills: Strong problem-solving ability to identify issues in data and find appropriate solutions.
- Time Management: Excellent time management skills to manage multiple tasks and meet deadlines.
- Team Collaboration: Ability to work well in a team and collaborate with various departments to achieve business goals.
Requirements
- Experience: A minimum of 2 years of experience in data acquisition, data analysis, or a related role in a business or technical environment.
- Education: A degree in Computer Science, Information Technology, Statistics, Mathematics, Economics, or a related field.
- Location: The role is based in Hyderabad. Applicants should be based in Hyderabad or willing to relocate.
- Technical Skills: Familiarity with data management tools, data visualization platforms, and analytical software like R, Python, or SAS is a plus.
- Certifications: Certifications in data analytics, business intelligence, or database management are a plus but not mandatory.
Job Types and Compensation
- Salary: ₹30,000.00 - ₹50,000.00 per month, based on experience and qualifications. Performance-based bonuses and benefits are included.
- Work Schedule: Full-time, Monday to Friday. Occasional weekend work may be required during project deadlines.
- Benefits: Health insurance, paid time off, opportunities for career growth, and continuous learning and development programs.
How to Apply
If you are passionate about data and have the skills to turn raw data into meaningful insights, apply for the Data Acquisition Analyst role. Submit your updated resume along with a cover letter detailing your relevant experience and interest in the role.
- Attach your current resume with your contact details.
- Include a cover letter outlining your data analysis experience and why you are the ideal candidate for this position.
- Provide your availability for an interview and any relevant portfolio or work samples if applicable.
Conclusion
The Data Acquisition Analyst role is an excellent opportunity for individuals who enjoy working with data, uncovering insights, and supporting business decisions. If you have the right skills and a passion for data analysis, we encourage you to apply and join our team.