Contents

• Why JD
• JD 组成
• Why resume
• 写resume的精髓
• JD 解读VS resume fit

Why JD

• Employer has Job position open
• Employer needs to write AD to describe the available position
• Employer recruits the proper talents to suit this position

JD 组成

• Description of company
• Description of department
• Responsibilities
• Requirements
• Location
• Salary/Benefit
• JD post end date

JD 组成—company/department description

• 
  
  https://www.workopolis.com/search?q=sas&l=canada&s=d&job=RCp37l5ORyMWKbEcmGG9BaDy87YUvpGEVm0Sa-7NsEZjOT-76UrtqjIEsNX7XhEB
  
  
• The Ministry of Mental Health and Addiction is driven by a purpose to build and strengthen a recovery-oriented system of care within Alberta that promotes wellness and recovery for people experiencing addiction or mental health concerns.
• Within the Ministry, the Strategic Information, Research and Evaluation Unit provides support, overseeing corporate responsibilities including business planning reporting, performance measurement and data analytics and intelligence.

JD 组成–Responsibilities

• What will you do if you join the team
  1. Data management, data integration by sas, sql, python, R
  2. Data dashboard by Looker, tableau, power bi
  3. Data scientist- SAS, python, R

JD 组成–Responsibilities

1. Business: marketing, sale, supply chain, digital transformation, collection, fraud, money anti-laundry

JD 组成–Responsibilities

• 
  
  https://www.workopolis.com/search?q=sas&l=canada&s=d&job=xvRPWMtBrUU04JGTp88oOMtJArYvs-Ymizya-SPw-PC1jzyXI2iDd1xBQk4PeBjp
  
  
• Workplace Safety and Insurance Board—WSIB, Ontario
• have the ability to develop complex queries and build analytical products and reports to extract and compile data, as well as expertise in using various BI tools and system applications such as but not limited to Guidewire, Cognos, SAS, Access to merge and analyze data
• Conduct complex statistical analysis and modeling in order to provide ongoing evaluation of the business and informed planning and decision-making related to WSIB initiatives, strategies, services, processes, and corporate metrics.

JD 组成–Requirements

1. Education, including certificate
2. How many experience in using tools
3. How many years in data analysis
4. How many years in special field and industry

JD 组成–Requirements

• 
  
  https://www.workopolis.com/search?q=sas&l=canada&job=fER_CEVPg3k5mtmWfWSHWJDD66_LKwCqNbO372gu44GpJnemUAFfrHFEp8TgvUHy
  
  
• Specialist, Credit Risk FairstoneToronto, ON
• WHO ARE WE LOOKING FOR
• Professional with 2 to 3 years of Credit Risk experience or experience within the financial services industry
• Undergraduate degree in a related field such as Mathematics, Statistics, Economics, Computer Science, is an asset.
• Knowledge of credit risk management principles and the factors that contribute to risk, with the ability to assess, measure and monitor risk.
• Intermediate skills using SAS or SQL to mine, transform and analyze large amounts of data is required.
• Knowledge of Triad, TSYS, TSYS Ace systems is a strong asset.

Why Resume

• Would find job
• Prove you fit the job
• Look forward to being chosen for interview

写resume的精髓

• Fit
• Overqualify
• Underqualify

Resume example

• 
  
  https://jobs.bmo.com/global/en/job/R240006727/Senior-Data-Analyst
  
  

Resume example

• Job Family Group:
  • Data Analytics & Reporting
  • The Reporting and Segmentation Analyst, North American Collections Analytics for data and analytics will assist with:
    • Sourcing and management of data sets to support strategy and segmentation function.
    • Segmentation, ad hoc analytics, and test design to support decisioning within collections and recovery.
    • Monthly performance reporting incorporating performance reads of different strategy changes and new initiatives.

RESUME EXAMPLE

• This role requires strong data and analytical capabilities to develop new analytics insight supporting a 500+ FTE operations center. The analyst will assist in the development of new collection and recovery strategies such as call center and digital campaigns for high risk customers, next best offer prioritization for collections offers and deals, outsourcing and legal campaigns on defaulting accounts, and debt sale break-even analysis using decision trees, logistic scorecards, and NPV modelling.
• They will also support through interpretation of monthly performance results across collections portfolios including shifts in customer risk profile as well as strategy performance.

RESUME EXAMPLE

• Monitor operations execution to ensure that strategies are executed as designed. Assist operations in the execution of strategy through standardized and ad hoc analysis including capacity planning, AHT analysis, etc.
• Monitor profile and portfolio changes across countries, products, and delinquency levels.
• Manage monthly performance views across portfolios including operational execution, strategy performance, and changes to risk profile.

RESUME EXAMPLE

• Qualifications:
  • Bachelor’s Degree in Mathematics, Statistics, Physics, Computer Science, Economics, Finance, or other quantitative fields. Master’s Degree preferred
  • 1+ years of experience in analytics (ideally scorecard development / monitoring, customer segmentation, strategy development in Credit Risk, Marketing or Collection). Graduate Degree with internship experience will also be considered.
  • Working level statistical skills, including A/B testing, and decision tree modeling.

RESUME EXAMPLE

• Skills:
  • Excellent analytical thinking capability, good at translating business problems into analytical questions and summarizing data to reach conclusion.
  • Good communication skills. Strong ability to explain complicated ideas to broader audience.

RESUME –HOW TO FIT

• Domain knowledge and experience : Banking collection
• Analytical methods: regular reporting, ad hoc analysis, statistical modeling/machine learning, logistic regression, decision tree, AB test, capacity planning, AHT analysis
• Tools: SAS, SAS/EM, SQL, Python
• Tools not listed: tableau, power bi
• Degree: bachelor, master preferred

RESUME –HOW TO FIT

• Domain knowledge and experience : Banking collection
• Analytical methods: regular reporting, ad hoc analysis, statistical modeling/machine learning, logistic regression, decision tree, AB test, capacity planning, AHT analysis
• Tools: SAS, SAS/EM, SQL, Python
• Tools not listed: tableau, power bi
• Degree: bachelor, master preferred

RESUME –HOW TO FIT

• Fit 1: degree –bachelor is ok, Master is perfect
• Fit 2: domain–experiences in collection is perfect, collection in telecom/utility is fine
• Fit 3: processing data by SAS, SQL, is perfect; Python is fine
• Fit 4: AB test,
• Fit 5: machine learning, logistic regression, decision tree by EM, scoring model is perfect, building model is fine.
• Fit 6: dashboard/KPI in collection is perfect, dashboard in other is fine , via tableau, power bi