社名
社名非公開
職種
システムコンサルタント、システムアナリスト
業務内容
...
Mission:To drive the analysis of data in the commercial sector and contribute to the business units to reach their full potential.Results Responsibility:1. Ensure that the business units (especially Marketing and In field teams) achieve their full potential and sales targets. (Managers below)2. Support the members of the unit in developing their ability to be self-driven, gain customer trust, and continuously achieve their goals3. Ensure department members are compliant with industry and company regulations; 4. Ensure department members are aware of and comply with theRole Description:- Provide various data analysis to the Commercial departmentEnsure that the following activities are performed without delay and produce the best possible results as the person in charge (the manager will also be responsible for ensuring that the following activities are performed without delay and produce the best possible results) (The manager will additionally ensure that the delivery meets standard quality without supervisory checks.)o Provide value through data analysisCollaborate with HQ to identify high-priority business issues that can be solved with data analysis.Identify high-priority business issues that can be solved by data analysis, build hypotheses, identify and acquire the data necessary for analysis, and conduct the analysisCommunicate analysis results to stakeholders and propose actions.Communicate the results of the analysis to stakeholders and propose actions. After implementing actions, continuously analyze the implementation status and effects of the actions in collaboration with other divisions.After implementing actions, establish a PDCA cycle to continuously analyze the implementation status and effects of the actions in collaboration with other departments.Data analysis includes basic data cleansing, data aggregation, dashboards, and statistical data analysis. data analysis, from basic data cleansing, data aggregation, dashboards, and advanced data analysis using statistical data analysis and machine learning.Data analysis can range from basic data cleansing, data aggregation, dashboards, and advanced data analysis using statistical data analysis and machine learning to make business decisions using methods appropriate to the challenge (examples of possible data analysis are shown below)Conduct basic data aggregation results and exploratory data analysis (EDA) and visualize the results with BI tools.Visualize the results with BI toolsMeasure the effectiveness of various marketing and sales initiatives using statistical data analysis,Identify next actionsMeasure and propose channel impact and channel mix for marketing and field strategy and tactical planning▪ Measure and recommend channel impact and channel mix that will lead to marketing and field strategy and tacticso Managers▪ Take actions necessary to leverage data analytics beyond the scope of data analysis(e.g., obtaining agreement with the field, training, etc.)- Contribute to team policy developmento SpecialistsProvide recommendations to the team on how to make better use of data analysiso ManagersContribute to team policy making based on analytical needs, experience, industry case studies, etc.- Training of team memberso Specialists▪ Can teach junior team members about the analyses he/she has performedo Specialists ▪ Can teach junior team members about the analysis he/she has performedo Managers▪ Show junior team members what is expected of them in their position and what they need to be able to do to get to the next level.o Managers ▪ Assist junior team members in analyzing the gap between what is required for their position and what they need to be able to do to get to the next level and what they need to be able to do to get to the next level.- Resource ManagementAllocate own resources according to priorities based on business impactTake steps to engage others internally and externally to perform analysis, request additional resources, etc. as needed.Take steps to engage others internally and externally to perform analysis, request additional resources, etc., as neededTake steps to engage others internally and externally to perform analysis, request additional resources, etc., as neededo ManagersProvide specific feedback on data analysis performed by othersLead cross-functional analysis projects when needed
求められる経験
Competency Requirements:
Mindset
Customer oriented
Intentional drive to continually provide customers with a high level of satisfaction
- Achievement-oriented
"Goals must be achieved," "It is important to stick to the numbers," and "Never give up until the end.
Efficiency-oriented
Seeks maximum output from minimum input
Solution-oriented
A mindset that focuses on "what is going well" in one's environment, and in interpersonal relationships, a mindset that seeks to see the strengths and good points of the other person.
Solution-oriented o A mindset that focuses on "what is going well" in one's surroundings; in interpersonal relationships, an attitude that seeks to see the strengths and good points of others
Cooperative orientation
Attention to others involved with oneself, thinking from the other person's point of view, and facing issues together.
Attitude of being interested in others involved with you, thinking from the other person's perspective, and facing issues together
Knowledge
Knowledge of statistical data analysis methods and machine learning
Knowledge of pharmaceutical market data (IQVIA, Ultmarc, Claims data, Rx data, promotion audit, etc.)
Knowledge of pharmaceutical market data (IQVIA, Ultmarc, Claims data, Rx data
Knowledge of pharmaceutical marketing is a plus
Skills
Logical and hypothetical thinking
Documentation skills (MS PowerPoint, MS Word)
Presentation skills
Skills in identifying business issues and using analysis to solve them (identifying issues, developing hypotheses, identifying data, and developing and implementing solutions)
Identify a business problem and solve it using analysis (identify the problem, build a hypothesis, identify data, and consider and implement a solution)
Ability to perform analysis using R or Python, and to perform end-to-end analysis (data cleansing, modeling, and digestion of results)
End-to-End (data cleansing, modeling, and digestion of results)
Examples of analysis: classification prediction, clustering, decision trees, causal search, time series prediction, etc.
Build business intelligence dashboards (Tableau, Qlik, Power BI, etc.) to visualize analysis results
BI, etc.)
-Statistical analysis skills, including statistical effectiveness testing such as test & control designs
-Analytical skills using AI/machine learning + coding skills
-Project management skills are a plus (managers are a must)
-English language skills a plus (required for managers)
Preferred Experience:
-Experience/work experience
5+ years total hands-on data analysis experience (5+ years for managers + 2 years providing analytical support to junior members)
5+ years total hands-on data analysis experience (5+ years for managers + 2 years providing analytical support to junior members)
Experience with large scale data analysis projects (company-wide BI implementation) or production use of AI/machine learning based analysis (excluding POC)
(excluding POC) is a plus (required for managers)
-Education
University degree or higher (graduate degree in science is a plus)
保険
健康保険 厚生年金保険 雇用保険
休日休暇
土曜日 日曜日 祝日
給与
年収1,200 ~ 1,500万円
賞与
-
show more
社名
社名非公開
職種
システムコンサルタント、システムアナリスト
業務内容
...
Mission:To drive the analysis of data in the commercial sector and contribute to the business units to reach their full potential.Results Responsibility:1. Ensure that the business units (especially Marketing and In field teams) achieve their full potential and sales targets. (Managers below)2. Support the members of the unit in developing their ability to be self-driven, gain customer trust, and continuously achieve their goals3. Ensure department members are compliant with industry and company regulations; 4. Ensure department members are aware of and comply with theRole Description:- Provide various data analysis to the Commercial departmentEnsure that the following activities are performed without delay and produce the best possible results as the person in charge (the manager will also be responsible for ensuring that the following activities are performed without delay and produce the best possible results) (The manager will additionally ensure that the delivery meets standard quality without supervisory checks.)o Provide value through data analysisCollaborate with HQ to identify high-priority business issues that can be solved with data analysis.Identify high-priority business issues that can be solved by data analysis, build hypotheses, identify and acquire the data necessary for analysis, and conduct the analysisCommunicate analysis results to stakeholders and propose actions.Communicate the results of the analysis to stakeholders and propose actions. After implementing actions, continuously analyze the implementation status and effects of the actions in collaboration with other divisions.After implementing actions, establish a PDCA cycle to continuously analyze the implementation status and effects of the actions in collaboration with other departments.Data analysis includes basic data cleansing, data aggregation, dashboards, and statistical data analysis. data analysis, from basic data cleansing, data aggregation, dashboards, and advanced data analysis using statistical data analysis and machine learning.Data analysis can range from basic data cleansing, data aggregation, dashboards, and advanced data analysis using statistical data analysis and machine learning to make business decisions using methods appropriate to the challenge (examples of possible data analysis are shown below)Conduct basic data aggregation results and exploratory data analysis (EDA) and visualize the results with BI tools.Visualize the results with BI toolsMeasure the effectiveness of various marketing and sales initiatives using statistical data analysis,Identify next actionsMeasure and propose channel impact and channel mix for marketing and field strategy and tactical planning▪ Measure and recommend channel impact and channel mix that will lead to marketing and field strategy and tacticso Managers▪ Take actions necessary to leverage data analytics beyond the scope of data analysis(e.g., obtaining agreement with the field, training, etc.)- Contribute to team policy developmento SpecialistsProvide recommendations to the team on how to make better use of data analysiso ManagersContribute to team policy making based on analytical needs, experience, industry case studies, etc.- Training of team memberso Specialists▪ Can teach junior team members about the analyses he/she has performedo Specialists ▪ Can teach junior team members about the analysis he/she has performedo Managers▪ Show junior team members what is expected of them in their position and what they need to be able to do to get to the next level.o Managers ▪ Assist junior team members in analyzing the gap between what is required for their position and what they need to be able to do to get to the next level and what they need to be able to do to get to the next level.- Resource ManagementAllocate own resources according to priorities based on business impactTake steps to engage others internally and externally to perform analysis, request additional resources, etc. as needed.Take steps to engage others internally and externally to perform analysis, request additional resources, etc., as neededTake steps to engage others internally and externally to perform analysis, request additional resources, etc., as neededo ManagersProvide specific feedback on data analysis performed by othersLead cross-functional analysis projects when needed
求められる経験
Competency Requirements:
Mindset
Customer oriented
Intentional drive to continually provide customers with a high level of satisfaction
- Achievement-oriented
"Goals must be achieved," "It is important to stick to the numbers," and "Never give up until the end.
Efficiency-oriented
Seeks maximum output from minimum input
Solution-oriented
A mindset that focuses on "what is going well" in one's environment, and in interpersonal relationships, a mindset that seeks to see the strengths and good points of the other person.
Solution-oriented o A mindset that focuses on "what is going well" in one's surroundings; in interpersonal relationships, an attitude that seeks to see the strengths and good points of others
Cooperative orientation
Attention to others involved with oneself, thinking from the other person's point of view, and facing issues together.
Attitude of being interested in others involved with you, thinking from the other person's perspective, and facing issues together
Knowledge
Knowledge of statistical data analysis methods and machine learning
Knowledge of pharmaceutical market data (IQVIA, Ultmarc, Claims data, Rx data, promotion audit, etc.)
Knowledge of pharmaceutical market data (IQVIA, Ultmarc, Claims data, Rx data
Knowledge of pharmaceutical marketing is a plus
Skills
Logical and hypothetical thinking
Documentation skills (MS PowerPoint, MS Word)
Presentation skills
Skills in identifying business issues and using analysis to solve them (identifying issues, developing hypotheses, identifying data, and developing and implementing solutions)
Identify a business problem and solve it using analysis (identify the problem, build a hypothesis, identify data, and consider and implement a solution)
Ability to perform analysis using R or Python, and to perform end-to-end analysis (data cleansing, modeling, and digestion of results)
End-to-End (data cleansing, modeling, and digestion of results)
Examples of analysis: classification prediction, clustering, decision trees, causal search, time series prediction, etc.
Build business intelligence dashboards (Tableau, Qlik, Power BI, etc.) to visualize analysis results
BI, etc.)
-Statistical analysis skills, including statistical effectiveness testing such as test & control designs
-Analytical skills using AI/machine learning + coding skills
-Project management skills are a plus (managers are a must)
-English language skills a plus (required for managers)
Preferred Experience:
-Experience/work experience
5+ years total hands-on data analysis experience (5+ years for managers + 2 years providing analytical support to junior members)
5+ years total hands-on data analysis experience (5+ years for managers + 2 years providing analytical support to junior members)
Experience with large scale data analysis projects (company-wide BI implementation) or production use of AI/machine learning based analysis (excluding POC)
(excluding POC) is a plus (required for managers)
-Education
University degree or higher (graduate degree in science is a plus)
保険
健康保険 厚生年金保険 雇用保険
休日休暇
土曜日 日曜日 祝日
給与
年収1,200 ~ 1,500万円
賞与
-
show more