Data Analytics Senior Cover Letter

In response to your job posting for data analytics senior, I am including this letter and my resume for your review.

In the previous role, I was responsible for science and discovery leadership for OptumLabs and its Partners through expertise in observational research methods, econometrics, epidemiology, data science, health economics, outcomes research, or other related discipline.

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 familiar with reporting tools – Spotfire / Tableau / Oracle OBIEE / Brio
• Be adept at juggling several projects and initiatives simultaneously through appropriate prioritization
• Subject Matter Expertise in statistical data modeling and programming algorithms with data visualization software packages, specifically Statistical Analytics Software and big data analytic capabilities, specifically Cloudera/Hadoop
• Past experience working in an analytics function
• Past experience in analytics for software adoption and/or customer churn is preferred
• Past experience in presenting effectively to an executive audience
• Previous experience in writing complicated database queries in SQL language (Oracle, Vertica, Hive, etc)
• Experience working in a BI/data warehouse and Big Data Platforms (Modern Data Architectures) with diverse data sources

In response to your job posting for data analytics senior, I am including this letter and my resume for your review.

Previously, I was responsible for thought leadership on modern workplace strategy and investment based on the insights / learning from analyses.

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:

• C#, SQL, R or Python
• Mentoring and providing leadership to other junior members on the team
• Large scale computing systems like COSMOS, Hadoop and/or similar systems
• Experience with modern game engines such as Unity, Unreal, or equivalent
• Familiarity with Augmented, Virtual or Mixed Reality
• Experience as an IT Executive, preferably in the Automotive, Auto Finance or Consumer Servicing business
• Experience managing technical resources, including matrix partners and 3rd party vendor resources
• Experience with distributed computing (e.g., Hive, Spark) and data visualization tools

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

In my previous role, I was responsible for thought leadership for analytical solutions which uses machine learning / data science methodologies.

Please consider my experience and qualifications for this position:

• Expert proficiency in building large scale production pipelines using - Hadoop, Map/Reduce, HIVE, PIG, SparkStrong programming expertise in Java or Scala
• Familiarity with design and development of RESTful web services is helpful
• Exposure to large scale marketing data processing
• Bachelors (IT/Computer Science Preferred)
• Experience solving big data problems using clustered computing systems, such as Hadoop/MapReduce, Spark/SparkR, Lucene/ElasticSearch, Storm, Cassandra, etc
• Experience building new data pipelines from various structured and unstructured sources into Hadoop
• Robust knowledge of technical industry trends and how they can be leveraged within solution architecture
• Knowledge of Data Warehousing best practices

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

In my previous role, I was responsible for data science thought leadership to UnitedHealth Group’s growing Human Capital Data Science team and UHG Talent Analytics Management on potential new applications of machine learning in the workforce analytics space.

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:

• Solution Architecture skills
• Excellent communication and collaboration skills – able to communicate technical business information very effectively across all levels of the organization
• Experience with Text Analytics solutioning and delivery (either SOLR or ElasticSearch)
• Be familiar with database querying tools and able to write queries and procedures using Teradata SQL and/or Microsoft TSQL and experience with SAS or R
• Background in Economics, Engineering, Statistics, Computer Science, Finance, or other data heavy field
• Contribute to monitoring and risk assessing part of the business under direction of the Senior Analytics Manager or Analytics Manager
• Support the assessment of risks and controls and undertake effective testing
• Effectively coach data analysts or colleagues when requested and provide timely feedback

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

Previously, I was responsible for technical leadership and oversight for a specialized science-based team focused on the research and development of Manhattan Associates’ next generation cloud-native Machine Learning platform.

Please consider my qualifications and experience:

• Experience working with Python or R and a working knowledge of statistics
• Strong understanding of Data Analytics approaches, industry standards and industry best practices for Data Warehouse, Data Management and Data Integration space
• Experience with design and development of Data Analytics and Data Lake solutions and components like Netezza, Watson Analytics, Hadoop and Cloudera, Horton Works or IBM BigInsights and similar tools
• Experience with visualization and writing complex SQL queries
• Good knowledge in relevant tools like
• An understanding of PUL/GDPR regulations
• Proficient with techniques in data cleansing, blending, analysis, and validation - Alteryx Designer
• Proficient in analyzing data within relational database systems