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Writer's pictureEvelyn Bianchi

What Data Science or Data Analyst Means to Consulting?

Updated: Aug 11, 2020


data-science-profile
Data Science Profile

Types of Jobs Titles or Designations in Data Science or Data Analyst


Data Analyst, Data Engineers, Database Administration, Machine Learning Engineering, Data Scientist, Data Architect, Statistician, Business Analyst, Data and Analytics



Data Science or Data Analyst Job Responsibilities


  1. Formulating and leading guided, multifaceted, analytic studies, against large volumes of data

  2. Interprets and analyzes data using exploratory mathematical and statical techniques based on the scientific method

  3. Coordinating research and analytic activities by utilizing various data points and employee programming to clean, massage,and organize the data

  4. Experiments against data points, providing information based on experimental results and providing previously undiscovered solutions to command data challenges

  5. Leading all data experimental tasked by data science teams

  6. Coordinating with data engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers and Intel Analysts

  7. Developing methodology and processing for prioritization and scheduling of projects

  8. Analyzing problems and determining root causes

  9. Defining company data assets, spark, sparkSQL, and hiveSQL Jobs to populate data models

  10. Working closely with all business units and engineering teams to develop strategy for long term data platform architecture

  11. Formulating and leading guided, multifaceted, analytic studies, against large volumes of data

  12. Interprets and analyzes data using exploratory mathematical and statical techniques based on the scientific method

  13. Coordinating research and analytic activities by utilizing various data points and employee programming to clean, massage,and organize the data

  14. Experiments against data points, providing information based on experimental results and providing previously undiscovered solutions to command data challenges

  15. Leading all data experimental tasked by data science teams

  16. Coordinating with data engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers and Intel Analysts

  17. Developing methodology and processing for prioritization and scheduling of projects

  18. Analyzing problems and determining root causes

  19. Defining company data assets, spark, sparkSQL, and hiveSQL Jobs to populate data models

  20. Working closely with all business units and engineering teams to develop strategy for long term data platform architecture


Education Required for Data Science or Data Analyst


Bachelor's or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics Statistics, Physics, Computer Science, or related fields


Qualifications required for Data Science or Data Analyst


  1. 5-7 years of professional experience

  2. Proficient with one or more programing languages (Java, C++, Python, R etc)

  3. Demonstrated experience applying data science methods to real-world data problems

  4. Experience utilizing visualization tools to take advantage of the growing volume of available information


Specialization Required for Data Science or Data Analyst


A candidate must have have Data Science specialization that focus on companies or corporation


Skills Required for Data Science or Data Analyst


  • Technical Skills

  1. Advanced Analytical knowledge of data

  2. Conducting big data analysis

  3. Data Conditioning

  4. Programming advanced computing

  5. Developing algorithms

  6. Developing software and data models

  7. Executing predictive analytics


  • Behavioural Skills

  1. Oral and Written Communication skills

  2. Commercial awareness

  3. Conflict Resolution

  4. Creative problem solving


Top 5 world organizations for Data Science or Data Analyst

  1. SAP

  2. Google

  3. Salesforce

  4. Microsoft

  5. 1010 Data


Top 5 Indian organizations for Data Science or Data Analsyt

  1. Mu Sigma

  2. Sigma Mu Sigma

  3. Fractal Analytics

  4. Absolutdata

  5. Latentview Analytics corporation


Top 5 European organizations for Data Science or Data Analyst

  1. Zeotap

  2. QuestDB

  3. Hublsoft Group

  4. Troglo

  5. AB Tasty


Top 5 USA organizations for Data Science or Data Analyst

  1. Prolifics

  2. SG Analytics

  3. Sumatosoft

  4. Sciencesoft

  5. Pragmatic works


Top 5 Asian Organizations for Data Science or Data Analyst

  1. DBS

  2. Grab

  3. OCBC Bank

  4. DBS Bank

  5. Google





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