Analyst, Data Analytics Cover Letter

I am excited to be applying for the position of analyst, data analytics. Please accept this letter and the attached resume as my interest in this position.

In my previous role, I was responsible for guidance on technical concepts to business implications/capabilities to drive alignment and decision making.

My experience is an excellent fit for the list of requirements in this job:

• Market risk, Middle office, Valuations or Product control background with relevant subject matter expertise in one of the three disciplines
• MFE/MBA in Finance or relevant experience with Engineering, finance or quantitative/statistics background
• Good understanding of statistical distributions
• A track record of working in a CTB (Projects) and RTB (Production) environment simultaneously
• Knowledge of languages such as R, Python, SQL preferred
• Certification such as FRM or CFA or CQF is preferred
• Knowledge of Microsoft PowerPoint, Word and Access
• Knowledge of speech analytics tools (experience with CallMiner(CM) voice analytics tool preferred)

Please consider me for the analyst, data analytics opportunity. I am including my resume that lists my qualifications and experience.

In my previous role, I was responsible for support in the development of total rewards strategies, principles, and programs to meet global and local business needs.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Fast learner with deep curiosity who asks questions, wants to learn new methods and approaches, and seeks better ways of doing things
• BA/BS or equivalent experience in a quantitative field or field emphasizing research with people (e.g., Industrial / Organizational Psychology, Economics, Sociology, Anthropology, Operations Research)
• Experience with advanced analytical methods (e.g., multivariate statistical methods, multiple regression, time-series analysis, classification, dimension reduction, clustering, machine learning, ) to research problems in organizations
• Demonstrated advanced understanding of R, SAS, and SPSS
• Demonstrated advanced understanding of Machine Learning
• Support the transformation of all CS&O reporting by working with the business to interpret, develop and influence their business reporting objectives and requirements
• Collaborate with the wider team to deliver high quality, value add data driven insight that drives improved decision making and demonstrably moves the Business forward and achieves commercial outcomes
• Engage with the wider Data & Analytics teams and Business Stakeholders to gather feedback on reporting to ensure continuous improvement of design standards to support customer delivery

I am excited to be applying for the position of analyst, data analytics. Please accept this letter and the attached resume as my interest in this position.

Previously, I was responsible for expertise for one or more areas of the business through analysis and understanding of business needs; applies a broad knowledge of programs, policies, and procedures in a business area or technical field gained through experience and training.

Please consider my qualifications and experience:

• Statistics/Machine Learning/Programming-Statistics (MMM, forecasting, regression modeling, ), Machine learning (scikitlearn, tensorflow, IBM Watson, ), General Purpose Programming (Python, Familiarity with AWS)
• Strong understanding of swaps, options and other OTC derivatives specifically related to derivatives and derivative curve structures
• A proactive nature and approach to learning, problem identification, and resolution
• Strong organisational, prioritisation, and multi-tasking skills
• Data mining skills and predictive modeling techniques
• Strong SAS programming
• Strong Excel modeling (v-look ups, pivots, no macros needed)
• Interacting with offshore analysts

I would like to submit my application for the analyst, data analytics opening. Please accept this letter and the attached resume.

In the previous role, I was responsible for technical capabilities for new initiatives, to assist in the definition of business requirements or technical strategies.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Assist in supporting the integration and support of present and future business information technology concepts and capabilities
• Support technology projects or tactical plans which assist Customer Logistics in attaining organizational goals
• Support business intelligence and reporting to all levels of the organization via the proper use of tools, development of a skilled network of key users, and coordination of robust data quality in an open architecture environment
• Maintain complex tools for data retrieval and analysis
• Develop subject matter expertise regarding current and future processes within business intelligence and supports the implementation and continuing support of Customer Logistics business intelligence systems
• Supporting users of business intelligence data, data marts, data warehouses, or similar
• Demonstrated experience and success achieving results across core Sales, Logistics, Finance, and Product Supply functions across divisional boundaries
• Demonstrate successful experience and aptitude influencing, teaching and enabling business users make more effective use of data tools and architectures

I submit this application to express my sincere interest in the analyst, data analytics position.

In my previous role, I was responsible for application support such as processing scheduled tasks, support month end closing and monthly metrics to keep track product eligibility updates and meeting team SLA.

Please consider my qualifications and experience:

• Academic knowledge of statistical methodology with good understanding of tools and procedures for supporting data analytic and health economic projects
• Solid foundation of descriptive and inferential statistics
• Experience in the application of statistical methods and models
• Solid knowledge of SQL, Query, Reporting and OLAP languages and tools
• Working knowledge of the insurance industry, its operations and its terminology
• Demonstrates strong analytic abilities and strong organizational skills
• Interest in Banking and developing innovative products
• A passion to work with data!