Ascentech Services Ltd acts as a gateway to provide a wide range of recruitment and selection services to companies. We are a dedicated team of professional consultants offering top-of-the-line executive recruitment and selection services. We cater for the needs of a range of professionals seeking employment and work together to create effective solutions using our networks and strong client base.Role Summary
You will connect and model complex distributed data sets to build repositories, such as data warehouses, data lakes, using appropriate technologies
Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services
Key Responsibilities
Define data lifecycle, including data models and data sources for analytics platform, gathering data from business and clean the data
Create and maintain optimal data pipeline architecture
Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Performs aggregations on data across various warehousing models
Work with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep data secure
Create data tools for analytics and data scientist team members
Works closely with database teams on topics related to data requirements,cleanliness, accuracy etc.
Requirements
5-7 years’ experience in a statistical and/or data science role
Experience working with large data sets, simulation/ optimization and distributed computing tools
Practical knowledge across data extraction and transformation tools – traditional ETL tools (Informatica, Altryx)as well as more recent big data tools
Experience in working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
Experience Proficiency in R and/or SAS; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) helpful
Knowledge in data architecture, defining data retention policies, monitoring performance and advising any necessary infrastructure changes
Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)
Solid business and collaboration skills, and responsive to service needs and operational demand.