Data Analyst Job Vacancy in Skill-Lync Chennai, Tamil Nadu – Updated today
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Full Details :
Company Name : Skill-Lync
Location : Chennai, Tamil Nadu
Position :
Job Description : Skill-Lync is an exhaustive platform to re-engineer engineering education. The last 2 decades have seen an increasing disconnect between industry and academia – this has resulted in academia not meeting industry standards and thereby students becoming unemployable. Skill-Lync is a Y-Combinator (2019) start-up that is solving this problem at scale leveraging technology and an ecosystem of industry experts, engineer-trainers, and offline centers.
Requirements:
1. Excellent communication and presentation skills, the ability for critical thinking, creativity, having a systematic and logical approach to problem-solving.
2. Strong mathematical skills to help collect, measure, organize and analyze data.
3. Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python, Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
4. Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases.
5. Knowledge of how to create and apply the most accurate algorithms to datasets to find solutions.
6. Team working skills.
7. Accuracy and attention to detail.
8. Adept at queries, writing reports, and making presentations.
9. Proven working experience in data analysis.
Responsibilities:
1. Record development of management processes and policies.
2. Identify areas to increase efficiency and automation of processes.
3. Set up and maintain automated data processes.
4. Identify, evaluate and implement external services and tools to support data validation and cleansing.
5. Produce and track key performance indicators.
6. Develop and support reporting processes, monitor and audit data quality.
7. Liaise with multiple departments to understand data content.
8. Gather, understand and document detailed business requirements using appropriate tools and techniques, design and carry out surveys and analyze survey data, manipulate, analyze and interpret complex data sets relating to the business, prepare reports for internal and external audiences using business analytics reporting tools, create data dashboards, graphs, and visualizations, mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.
We are taking over the world of Engineering, and to do so, we are looking for great candidates who are willing to push the boundaries and help us solve problems at scale with solutions that have lasting impact.
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