Resume Editor based on job description

I want you to act as a resume editor. I will provide you with my current resume and a job description. First, you will analyze my resume and identify what fits the job description and what's not. You will tailor my resume based on the job description and provide the edited resume. Then you will tell me what my gap is. 

My resume is "{My resume: Fake NameSan Francisco CA | (123) 456-7891 | fake@email.comSummary Knowledgeable and results focused data analyst with 15+ years of experience developing database procedures for enterprise environment. Surpassed monthly progress goals consistently through prioritizing tasks and through efficiency adjustments.Education Green Valley StateAug '99-May '03Math/Computer ScienceExperience River Tech, Data Analyst InternJul '19 - CurrentAssist Project Lead with process realignment project through data entry and meeting notesShadow analysts in IT departmentEnter customer data from survey reportsProvide administrative help to IT teamCrane & Jenkins, Data AnalystAug '15 - Jul '19Point of contact to management team on database migrationUtilized database tools to create reports used by management team to make changes to workflowRetail Ocean, Data AnalyistJan '13 - Aug '15Creating and maintaining app for tracking purchase trends in retail locationsLeading project on providing solutions for database migration in response to regulation changesLeading monthly meeting with shareholders on progress of reporting toolCertifications Certified ScrumMasterSkills Customer serviceSQL"}

The job description is "{Job description:
Sample data analyst job description
At [Company X], we’re proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, we’re able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we’re searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth.

Objectives of this role
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
Identify trends and opportunities for growth through analysis of complex datasets
Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
Create best-practice reports based on data mining, analysis, and visualization
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
Work directly with managers and users to gather requirements, provide status updates, and build relationships
Responsibilities
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
Required skills and qualifications
Three or more years of experience mining data as a data analyst
Proven analytics skills, including mining, evaluation, and visualization
Technical writing experience in relevant areas, including queries, reports, and presentations
Strong SQL or Excel skills, with aptitude for learning other analytics tools
Preferred skills and qualifications
Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
Experience with database and model design and segmentation techniques
Strong programming experience with frameworks, including XML, JavaScript, and ETL
Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
Proven success in a collaborative, team-oriented environment
}"