Senior Data Analyst

Responsibilities Include: • Help collect business-relevant data and use the data to understand trends, solve business problems, and monitor metrics. • Assist with determining the data the company needs, structuring it in an appropriate format, analyzing the data using queries, and creating reports and visualizations for decision-making. • Creating and editing visual content, including maps, charts, and graphs • Transforming data sets, quantitative and qualitative analysis into compelling visuals. • Working closely with the other teams and departments to provide reports, briefs, commentary, and visual data. • Meeting deadlines in a fast-paced environment.

Skills & Experience We’re Looking For:
• Masters degree in Data Analytics, Data Science, Statistics, or closely related field.
• 6+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization, Web Scraping.
• Adept in statistical programming languages like R and Python, including Big Data technologies like Hadoop, Hive.
• Experience and Technical proficiency in Designing, Data Modeling Online Applications, and Architecting Data Warehouse/Business Intelligence Applications.
• Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Graphs, Scales, PivotTables, and OLAP reporting.
• Highly skilled in using visualization tools like Tableau, Prometheus, Grafana, Django, flask for creating dashboards.
• Work experience with extracting data from various database sources like Postgres, Mysql, and NoSQLs.
• Hands-on experience with big data tools like Hadoop, Spark, Hive, Pig, PySpark, Spark SQL, PySpark
• Experience in using various packages in python-like pandas, NumPy, SciPy, Matplotlib

Nice to have:
• Experience in working with Kubernetes.
• Data Engineering experience.
• Machine Learning, Clustering, Unsupervised Learning, Anomaly Detection
• Experience with AWS services