Lead a team of skilled data analysts and senior data analysts, mentoring them to generate actionable insights and deliver exceptional results.
Collaborate with cross-functional teams to identify data-driven solutions and insights for business challenges.
Design, develop, and maintain data pipelines to ensure data quality, accessibility, and relevance.
Employ advanced statistical techniques to identify trends, patterns, and anomalies in the data.
Develop and maintain data visualization tools and dashboards to effectively communicate findings to stakeholders.
Document and present findings and recommendations to both technical and non-technical stakeholders.
Requirements:
At least 5 years of experience in data analysis, machine learning, or a related field.
Strong programming skills in Python.
Strong understanding of SQL and experience working with relational databases.
Familiarity with NoSQL databases like Cassandra, MongoDB, etc
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent communication and presentation skills, both written and verbal.
Desired Skills:
Familiarity with ML libraries is a plus.
Exposure to AWS services like Kinesis, EMR, SQS, EKS, ASG is a plus.
Knowledge of scheduling tools such as Airflow is a plus.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Data AnalystEmployement Type: Full time