Resume & Job Description for Data Analyst position at Google

For our Job description we take note of any openings that might be available for the Google Corporation and since the area of expertise is math and engineering an entry level job for Data Analyst should suffice as the relevant opportunity for any aspiring candidate. Scouring through job board the below mentioned positing is a relevant criteria via which an aspiring candidate can apply. 

Job Posting 

Level: Entry 

Qualifications Needed: Bachelor’s Degree 

Experience: Fresh Graduates 

The Data Science Group is the machine learning and data analysis hub of Google Marketing Solutions (GMS). Our responsibilities include building the recommendation engine for the GMS sales force - increasing their impact and efficiency by reaching our customers in more personalized ways and to answer high priority business questions using cutting edge statistical analysis techniques. 

In this role, you will build machine learning frameworks and launch them into production, while learning and applying a variety of data science techniques to an ultra-high impact area. You will gain practical knowledge of the power of statistical analysis and modelling in fast paced and rewarding environment, helping millions of businesses across the world succeed. 

Job Responsibilities Include: 

Collect, cleanse, integrate, data-mine and visualize a variety of internal and external data sources to identify opportunities and influence strategy. 

Understand business challenges, transform problems into mathematical frameworks, and communicate complex findings in a structured and clear manner to a non-technical audience. 

Build Data Science and Machine Learning frameworks and help launch them into production. 

Answer business questions through data analysis, data mining, and statistical modelling. Help the team with methodology and guidance in experimental design. 

Partner with Program Managers, Engineers, and Sales leaders to translate business insights into decisions and action. 

Resume 

Candidate Name 

Data Analysis Executive 

Current Occupational Industry 

Picture 

Education 

Other Information 

I am a person of utmost integrity, honesty and discipline while I aim to find the exact same attributes in all of my employers. Thoroughly hardworking; My aspirations always remain to serve, the organizations I am associated with, to the best of my abilities and stay motivated in any given working circumstances. 

The skill set I bring to the table is unique and highly commendable coupled with real time problem solving attributes. I enjoy being challenged and easily adapt to a variety of working environments. My overall aim is to work well individually and in collaboration with others, make positive contributions to the workplace through the strength of my office skills and put forth creative inputs. 

I seek a fun and innovative company that offers opportunities to achieve personal, career and creative growth 

About Me 

Gender Male 

Age 25 

Address Complete Street Address Along with zip code and area code, City, Country 

Nationality United States 

Cover Letter 

Please accept this letter and the attached resume as an indication of my sincere interest in the open Data Analyst position at Google that I found on CAVLink, the University of Virginia’s job database. I graduated in December 2018 with a degree in Statistics and would like to gain experience in the I.T. field before applying to any relevant Higher Education Program. While reviewing your website, I was pleased to see that your firm operates in a wide variety of spheres. The areas of your practice to which I am particularly attracted are the Data science, Machine Learning and application development via big data structure. 

Throughout my college career, the courses I found most interesting were those revolving around subjects such as Statistics, Information Technology, and Data Analysis. After taking a course in Machine Learning, Big data and The Oracle, my professor took me on as an intern to work at the University’s Institute for Statistical research. My internship included reading reports, analyzing data, conducting active research contacting persons of interest to arrange interviews, and giving reports of my findings. From my coursework and professional experiences, I have developed the researching, analytical thinking and writing skills necessary to be a successful Data Analyst. In addition, I am aware of the long hours and hard work that is required of the role. I am ready to dedicate myself to Google in much the same way that I committed myself to being a varsity athlete. As a member of the swim team, I devoted up to 30 hours a week to practices, travel and competition while maintaining a full course load. 

I am eager to learn from the many successful lawyers at Google holding high peer review ratings in accordance with all the statuary laws of Information Technology. I hope that you will afford me the opportunity to become a member of your team. 

References 

Young, M. (2002). The technical writer's handbook: writing with style and clarity. University Science Books. 

Knouse, S. B., Giacalone, R. A., & Pollard, H. (1988). Impression management in the resume and its cover letter. Journal of Business and Psychology, 3(2), 242-249. 

Levine, E. L., & Levine Edward, L. (1983). Everything You Always Wanted to Know about Job Analysis: And More!--a Job Analysis Primer. Mariner Publishing Company. 

Wolcott, H. F. (1994). Transforming qualitative data: Description, analysis, and interpretation. Sage.