Job Description
Data Analyst is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage.
With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.
Data Analyst Description:
- Looking for a Data Analyst with 4+ Years of Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch.
- Experience in modern advanced analytical tools and programming languages such as Python.
- Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing).
- Distributed computing systems and related technologies (e.g., Spark, Hive)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Good working experience with data analytics and visualization tools (Tableau, QlikSense).
- Knowledge of Computer science fundamentals: data structures, algorithms, and performance complexity.
- Familiarity with Data Science workflow and life cycle.
Responsibilities:
- Developing data models, schema design, and working knowledge of cloud computing/services particularly in AWS.
- Building multidimensional schemas for consolidating data from multiple sources (Redshift, Hive, SparkSQL, Athena).
Skills:
- SQL, Tableau, Python & QlikSense
- Working knowledge of cloud computing/services particularly in AWS
- Bachelor’s Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or a related field. Master’s Degree preferred.
At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.