Senior Data Analyst And ScientistConclase Consulting

• Provides balanced analytical research by turning raw data into valuable insights that help to drive our client'sactions and strategies.
• Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.

Key Responsibilities

• Develop programming in R, SAS, SQL or similar analytical development tools
• Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
• Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
• Ascertain and apply strategies to identified business problems and existing organizational processes to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
• Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
• Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
• Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management
• Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
• Maintain an understanding of general business trends and requirements for the major area of
• Support, and understand the link between analysis and business impact
• Utilize R, SAS, SQL, Tableau or other analytical development tools with large data sets to design analyses and measure key metrics
• Support line of business analytical needs with dashboard/report development through Tableau
• Perform other duties as assigned by the Team Lead, Data Science.

Qualifications

• Strong STEM background - Bachelor's Degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
• 5 - 10 years working experience as a data scientist or business data analyst, preferably in the financial services industry
• Relevant professional qualifications.

Skills / Competencies:

• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Ability to learn and dedication to service delivery
• Proficient in office automation tools (e.g. Microsoft Office, etc)
• Proficient in SQL
• Oral & Written communication
• Team building / conflict management
• Initiative
• Analytical Skills/ Problem solving
• Self-Management
• Interpersonal Skills
• General managerial/ administration.