Summary:
As a Junior Data Analyst (DQS) at Lightcast, you will be responsible for creating fixes for the reported data issues. You need to focus on data quality issues , perform data investigation, research and reports on the data anomalies and troubleshoot the mechanism with the temporary fixes.
Job Duties and Responsibilities
Day-to-day research on Data Sets from various sources.
Organize data in prefabricated templates and analyze it to make informed decisions.
Ability to generate data driven reports and scenarios for getting the latest trends.
Enthusiastic to collaborate with various teams across the globe.
Design queries on historical data, to extract Job Market Data.
Understand support issue tickets raised for/by the clients and work with various stakeholders to do Root Cause Analysis and get solutions for each of them.
Effectively communicate complex technical concepts to technical and non-technical stakeholders, presenting findings and insights clearly, concisely, and compellingly.
Solutions are converted into fixes over affected data slices of the specific date and timeline ranges to align the historical data with the trend.
Contribute to advancing the organization’s data science capabilities by sharing knowledge, best practices, and insights with the broader team.
Skills & Abilities
Strong SQL or Excel skills with aptitude for learning other analytics tools
Proficiency in Python, Database Management System, Snowflake and AWS.
Familiar with tools such as Gitlab, JIRA, ELK (Elasticsearch, Logstash Kibana)
Excellent problem-solving skills, creativity, and the ability to design new and effective solutions when no suitable approaches are available.
Strong analytical mindset with the ability to handle and analyze large volumes of text data and derive actionable insights.
Strong understanding of machine learning algorithms and statistical models.
Proven analytical skills, including mining, evaluation, and visualization
Technical writing experience in relevant areas, including queries, reports and presentations
Passion for solving challenging issues
Experience and Education
Graduates / Post Graduates or Freshers from any stream. (Except M.E, M. Tech, MBA).
Fluency in English (oral and written) is a prerequisite.
Attention to details and good interpersonal skills
Decision-making, and meeting tight deadlines would be the order of the day
Good to have got experience in working with Big Data, Data Modeling, Data Analysis, Data Manipulation Tools and Techniques.
Help prepare periodic reports as part of KPI measures.