Competency requirements for big data service positions: Data consultant

Mondo Technology Updated on 2024-01-31

Responsibilities of Data Consultant: Responsible for demand research, problem solving of systematic ideas, methods and tools, solution planning, design and report preparation, knowledge transfer and experience summary.

The primary competency requirements for data consultants are as follows:

a) Expertise:

1) Big data industry application knowledge, 2) Big data technology system knowledge, 3) Big data basic theory knowledge, 4) Big data industry development knowledge, 5) Big data software architecture knowledge.

b) Professional skills:

1) Able to collect market target information according to the team's established plan;

2) Able to cooperate with the sales team to produce presentation materials and solution display materials;

3) Able to cooperate with engineers to solve customer technical consultation problems and provide reference information;

4) Be able to demonstrate and explain product features

5) Able to organize demand documents according to customer communication feedback;

6) Able to provide product consultation and reference architecture according to customer needs.

c) Experience:

1) Have been engaged in this position for more than 1 year.

The requirements for the intermediate competency of data consultants are as follows.

a) Expertise:

1) Knowledge of Big Data Architecture, 2) Knowledge of Big Data Technology Trends, 3) Knowledge of Basic Theory of Big Data, 4) Knowledge of Big Data Industry, 5) Knowledge of Marketing, 6) Knowledge of Project Management, 7) Knowledge of Technology Teaching, 8) Knowledge of Cloud Computing Technology Trends, 9) Knowledge of Microservice Architecture.

b) Professional skills:

1) Able to collect target market information and analyze industry needs;

2) Able to cooperate with the sales team to promote products and solutions;

3) Able to independently solve customer technical consulting problems and provide technical solutions;

4) Able to participate in the design of the project architecture and put forward reference opinions;

5) Able to adjust the output project solution on the basis of technical documents related to product functions and technical architecture according to project requirements

6) Able to conduct product research, demonstration and explain product characteristics;

7) Able to lead or assist prototype project delivery in combination with business conditions;

8) Able to cooperate with business departments to explore customer needs and output solutions;

9) Be able to formulate talent training plans for technicians and junior engineers

10) Ability to produce training resources;

11) Be able to use training materials to carry out professional ability training for technicians and junior engineers;

12) Be able to independently complete data management consulting and research activities, analyze customer needs, propose solutions, and write and form consultants.

Request for proposals;

13) Able to organize business processes, fully grasp the key points of work, effectively guide teamwork, and summarize knowledge and experience.

c) Experience:

1) Have certain experience in data consulting related projects;

2) Have been engaged in this position for more than 3 years.

The advanced competency requirements for data consultants are as follows:

a) Expertise:

1) Knowledge of big data architecture analysis, 2) Big data industry application, 3) Big data product design, 4) Project management methods, 5) Demand analysis technology, 6) Technical team building knowledge, 7) Training program design knowledge, 8) Process optimization knowledge, 9) Operation management knowledge.

b) Professional skills:

1) Be able to establish a target market analysis model and analyze the needs of the industry

2) Able to output product solutions as a whole;

3) Able to independently solve customer technical consulting problems and provide technical solutions;

4) Able to participate in project architecture design and product design, and put forward constructive suggestions;

5) According to the product function design and technical architecture, output the supporting documents of the product, and design the project according to the project requirements.

Solutions;

6) Able to cooperate with business departments to guide and explore customer needs and output solutions;

7) Be able to tap the general needs of the industry, refine the value characteristics of products, and sort out competitive product analysis reports

8) Be able to actively analyze and explore the market situation, and make suggestions on the formulation of market strategies

9) Be able to formulate the corresponding talent training plan for engineers and below positions;

10) Be able to plan the training resource system, and lead the development of training resources and the construction of the training platform

11) Be able to guide the technical and business ability of engineers and personnel in the following positions;

12) Be able to carry out training activities for different groups of people and individuals;

13) Be able to establish business requirements, collect business indicator data, and establish business analysis models based on actual data;

14) Able to guide business development and process optimization according to data analysis;

15) Able to manage the development and production activities of different business departments.

c) Experience:

1) Experience in data consulting related projects;

2) Have been engaged in this position for more than 5 years.

Related Pages