Data Analyst, Senior Cover Letter

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

Previously, I was responsible for high level guidance based on best practices as it relates to master data management concepts, metrics, data definitions, and data evaluation and collection methods, in collaboration with internal and external partners on and off-shore.

Please consider my experience and qualifications for this position:

• Commercial acumen to understand and define the business significance of various parcels of data and analysis
• Expertise in applied modelling methods linear regression, support vector machines, splines, decision trees, time series
• Experience using dataset and feature selection tools stepwise regression, lasso, cross-validation, cross-correlation
• Strong Python programming skills – expertise using mapping, lambda functions, comprehensions and native data structures lists, dictionaries, arrays
• Expertise using Hadoop ecosystem tools Pyspark, Sqoop, and MLlib
• Expertise in the production of analytic products using tools Statistica, R, Python libraries (numpy, scipy, pandas, scikit-learn)
• Expression software expertise using modern tools Tableau, PowerBI, Spotfire, Python libraries (bokeh, seaborn)
• Strongly numerate skillset

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

Previously, I was responsible for leadership and guidance on design and management of data for data applications, formulate best practices and organize processes for data management, governance and evolution.

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

• DE analyzing and automating KPI data using Spotfire and Tableau
• DE performing data Extraction, Transformation, and Loading (ETL), including writing scripts in UNIX and Linux to automate reporting
• DE performing data analytics of asset management trading and trends, including building predictive models to mitigate operational risks
• Experience developing briefings for executive staff drafting template documents unique and consistent to FBI program management
• Expertise in FBI database interfaces to include but not limited to Financial Management Systems (FMS), United Financial Management System (UFMS), and Asset Management System (AMS)
• Experience as subject matter expert for the FBI Sentinel document formulation, distribution, and tracking system
• Familiarity with common database structures
• Proficient with Excel and more advanced analytics and data modeling tools

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

In the previous role, I was responsible for guidance and supervision to Data Scientists on data science best practices and Novelis data science standards.

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:

• Be an expert at interpreting, manipulating and visualising data to produce and communicate clear insights and analysis to influence key stakeholders from around the business
• Have experience in building relationships, managing and influencing stakeholders including senior stakeholders
• Ideally have an understanding of data modelling, data cleansing, segmentation / marketing and financial services (but this is not essential)
• He/she should have a strong foundation in areas of statistics, mathematics, and computer programming
• Preference will be given to those with additional expertise in areas of data mining such as topic modeling, natural language processing, and machine learning
• Some familiarity with the social science domain is also preferred
• Demonstrated Expertise (“DE”) performing relational and dimensional data modeling and analysis of datasets for financial services
• DE writing SQL queries and scripts to extract data from large data sets within a relational database environment, including mainframe environment and databases -- Sybase, Oracle, SQL server, and DB2

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

In the previous role, I was responsible for thought leadership around best practices in analytics platforms, business intelligence, data management and Big Data.

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:

• Experience with data visualization tools such as Qlik, or Tableau
• Experience developing and implementing predictive models, specifically machine learning based models
• Experience using SAS, R, or other Statistical programming tools
• Superior modeling skills with advanced Excel including complex functions
• Hands-on experience with Omniture SiteCatalyst, Google Analytics or similar web analytics platforms
• Fluent in English (both spoken and written) and comfortable working in a fast-paced and high-performance international environment
• Experience writing code with data analytic tools (SAS preferred, R, SPSS, STATA)
• Demonstrated success leading, coaching, mentoring and supporting those they work with

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

In the previous role, I was responsible for guidance to colleagues and clients related to gathering and assessing data to ensure that appropriate data-management practices are known and complied with.

Please consider my experience and qualifications for this position:

• Experienced in leading business users, and data analysts in data requirements gathering exercises
• Experienced in various data requirements elicitation, analysis and validation techniques
• Possess an extremely strong work ethic with high follow through and a high internal locus of control
• Possess a creative, innovative, and customer focused attitude
• Fluency in data manipulation and analysis with R, Netezza, Oracle, Hadoop, SQL, or Hive
• Familiarity with RDF and Semantic Web technology
• Comfort with distilling complicated analyses into an accessible format for non-technical audiences (e.g., white papers, presentations, documents)
• Experience with Linux and a scripting language (e.g., Perl or Python