Senior Data Analyst
2 weeks ago
Job Title: Data Analyst
Location: Gurgaon
Expertise with Debezium is required
Job Overview
We are seeking a highly motivated and detail-oriented Data Analyst to join our growing data team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive data-driven decision-making within the organization. You will work closely with various teams to ensure the accuracy and integrity of data and provide insights to support business goals.
Key Responsibilities:
· Data Collection and Management: Gather, process, and manage large datasets from various internal and external sources to ensure accurate data storage and availability.
· Data Analysis: Analyze data to identify trends, patterns, and correlations using statistical techniques and tools such as SQL, Excel, and BI tools (e.g., Power BI, Tableau).
· Reporting and Visualization: Create detailed reports and data visualizations to help stakeholders understand key insights and make data-driven decisions.
· Collaboration: Work with cross-functional teams (marketing, sales, operations, etc.) to identify data requirements and deliver actionable insights.
· Data Integrity: Ensure data quality and integrity by conducting regular audits and validations of data, troubleshooting discrepancies when necessary.
· Automation: Develop automated reporting processes to streamline workflows and improve efficiency.
· Predictive Analysis: Assist in building predictive models to forecast future trends, opportunities, and risks.
Skills and Qualifications:
· Educational Background: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. A master’s degree is a plus.
· Technical Skills:
o Proficient in SQL for database management and queries.
o Experience with data visualization tools (e.g., Tableau, Power BI).
o Advanced Excel skills (e.g., VLOOKUP, Pivot Tables, etc.).
o Familiarity with Python, R, or other data analysis languages is an advantage.
o Knowledge of statistical methodologies and techniques.
Experience with machine learning is a plus.
· Analytical Skills: Strong analytical and problem-solving skills with attention to detail.
· Communication Skills: Ability to explain complex data findings to non-technical stakeholders clearly and concisely.
· Business Acumen: Understanding of business processes and how data analysis contributes to improving performance and decision-making.
· Experience: 2-5 years of experience as a Data Analyst or in a similar role.
Key Competencies:
· High level of attention to detail and accuracy
· Ability to manage multiple tasks and meet deadlines
· Strong interpersonal and communication skills
· A proactive approach to problem-solving
· Ability to work independently as well as in a team environment
Preferred Qualifications:
· Certification in data analytics, such as a Google Data Analytics Certificate, Microsoft Data Analyst Certification, or similar.
· Familiarity with cloud computing platforms (e.g., AWS, Azure) for data processing and storage.
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