Data Analyst

We are looking for a Data Analyst to support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

• Create and maintain optimal data pipeline architecture via scheduling and authoring tools such as Airflow & dbt.

• Wrangling large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL including Google, Microsoft & AWS cloud data/serverless technologies.

• Build analytics models that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as query optimisation.

• Strong analytic skills related to working familiarity with a variety of databases - MSSQL, MySQL, PostgreSQL, MongoDB.

• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

• A successful history of manipulating, processing and extracting value from large disconnected datasets.

• Knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Strong project management and organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• We are looking for a candidate with 1+ years of experience in a Data Analyst and Database Management, who has attained a Graduate or higher degree in Software Engineering, Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using some of the following software/tools:

• Experience with big data storage & transform tools: Hadoop, Spark, Kafka, Snowflake, BigQuery.

• Experience with relational SQL and NoSQL databases.

• Experience with data pipeline and workflow management tools: Luigi, Airflow.

• Experience with AWS cloud services: EC2, Labda, EMR, RDS, Redshift

• Experience with stream-processing systems: Kafka, Spark-Streaming, etc.

• Experience with object-oriented/object function scripting languages: Python, Java, C++, Javascript, R.