Key Responsibilities/ Experience

• Develop data collection procedures and improve analytical tools and processes including recommendation systems, classifications, testing procedures, early-warning/alert reports, and anomaly detection.
• Develop Dashboards by understanding business needs, interpret the integrated data and translate this into usable visualizations to drive business decisions, interpreting results and how to utilize the dashboards.
• Setting up systems with processes to make it working with data more efficient by researching new ways to use the data.
• Processing confidential data and information according to guidelines, generating performance report from single or multiple systems with troubleshooting data to decide commissioning / decommissioning of data sets.
• Work and educate IT and other teams in organization, managing the vendors and other partners for the data mining tools, new approaches hypotheses, and statistical validation of results, Supervise and train other staff for usage in data science.
• Managing master data set (including creation, updates, and deletion), developing reports, and troubleshooting data issues.
• Must be clear with the concepts and experience in data warehousing and data transformation.
• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights, and identifying opportunities using statistical, algorithmic, mining and visualization techniques.
• Manage and implement various projects in the department from end to end (e.g., Centre of Excellence, Voice of the Customer, Master Data Management).
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights, visualizing quantitative data, performing geospatial analysis, and overseeing technical inputs for the construction and application of database.
• Develop analysis, scores, and regular reports using machine learning techniques or state-of-the-art data mining methodologies and statistical analysis to help the department in understanding its business and implement its action plans for improvements (e.g., market trends, customer profile segments etc).
• Define the validity of information, how long the information is meaningful and what other information it is related to.
• Reports and scores on a regular basis, and produce insights and action plans (e.g., program modifications, tactical actions etc.) to deliver value and support in data-driven decision-making.
• Provide quality assurance of imported data, working with quality assurance analysts if necessary.
• Expected to discover and work on unstructured data with the help of Machine Learning, Artificial intelligence, Deep learning, Probability and Statistic.
• Identify the appropriate data sources and map the data from source to target, assemble large, complex data sets that meet functional/non-functional business requirements.
• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies.
• Experience in data modelling to build a model create and maintain optimal data pipeline architecture with presentation of information generated from data to clients and managers.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Providing technical expertise in data storage structures, data mining, and data cleansing.
• Analyze and communicate data analysis findings to a range of stakeholders, using a variety of formats and different approaches. Ensure relevant data sets are complete, accurate and all information is input in time to allow accurate regular reporting.
• Provide data visualization and quantitative analysis; manage and optimize existing databases, as well as assistance to build new databases, as required by the business.

Requirements

• Requires Bachelor’s degrees in Computer Science/IT related field.
• Deep understanding of the popular or similar data analysis tools / databases with High level of proficiency and in-depth knowledge of RDBMS concept used by Oracle, MS SQL, or similar tools.
• Experience in modelling complex problems, discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, creating the architecture for specialized databases, and computing environments and communicating the results to the business.
• Experience and specialist skills set in different analytical, visualization tools such as SSRS, Power BI, Tableau, Pig, R, Hadoop, or similar tools.
• Strong knowledge and experience with reporting packages, databases programming tools like XML, JavaScript, ETL or similar tools.
• Experience using statistical packages for analyzing datasets such as SPSS, SAS, power BI or similar tools.
• Experience in data warehousing with data transformation techniques, experience in handling large data sets in any relational databases.
• Understanding of addressing and maintenance of metadata standards with skills in data extraction, transformation, and visual analytics.
• Excellent written, communication and interpersonal skills.
• A high level of mathematical ability and problem-solving skills, with experience in methodologies and processes for managing large-scale databases.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Team working skills and ability to work with stakeholders to assess potential risks.
• Technical expertise regarding data models, database design, data mining and segmentation techniques.