OFB Tech Hiring Drive 2024: OFB Tech Hiring Drive 2024 for its Data/Business Analyst – SQL. OFB Tech Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in a related field. if you are interested, please apply as soon as possible.
Company Name: OFB Tech
Role: Data/Business Analyst – SQL
Location: Gurgaon
Experience: 1 – 3 Years
Qualification: Bachelor’s degree in a related field
Batch: Any
Job Type: Full Time
Salary: Best in Industry
OFB Tech Hiring Drive 2024
Job Description:
- As a Data Analyst, you will play a crucial role in extracting valuable insights from large datasets to support informed decision-making.
- The ideal candidate will have a strong foundation in SQL programming, hands-on experience with visualization tools (preferably Google Looker or similar), and a passion for uncovering meaningful patterns within data.
Requirements:
- Bachelor’s degree in a related field (e.g., Computer Science, Statistics, Mathematics).
- Proven experience as a Data Analyst with 1 to 3 years of hands-on experience.
- Proficient in SQL programming with a strong ability to write complex queries.
- Experience with visualization tools, preferably Google Looker or other similar tools.
- Strong analytical and problem-solving skills with the ability to translate data into actionable
insights. - Excellent communication skills with the ability to convey complex findings to both technical and non-technical stakeholders.
- Detail-oriented mindset with a commitment to data accuracy and quality.
Responsibility:
- Data Analysis and Interpretation : Leverage strong SQL programming skills to extract, transform, and analyze data from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Visualization : Utilize visualization tools such as Google Looker or other similar tools to create compelling visual representations of data.
- Design and develop dashboards and reports to effectively communicate insights to stakeholders.
- Insights Generation: Apply data analytics techniques to derive actionable insights from large datasets.
- Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
- Data Quality and Validation: Ensure the accuracy and integrity of data by implementing data validation processes.
- Work towards continuous improvement of data quality standards.
Collaboration : Collaborate with stakeholders, including business analysts and data engineers, to - understand data requirements and contribute to a collaborative data-driven culture.
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