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.
Method of Application
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