data science Job Vacancy in Randstad Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : Randstad
Location : Bengaluru, Karnataka
Position :
Job Description : summary
randstad india
permanent
specialism
manufacturing
reference number
JPC – 66639
job details
Require someone who worked on – python/R – Descriptive analytics/ predictive analytics/ stastical modeling, machine learning algorithms, data cleaning(pandas,numpy), Data Science, Mysql, AWS Redshift
Commercial Operations BI Developer
Responsibilities and Scope:
This role resides in the Commercial Analytics team and supports the Global Commercial Operations organization. He or she will develop systems to collect, analyze, visualize data and use it to report daily, weekly, monthly and yearly measurements of business performance. He or she will develop and execute data mining, statistical analyses and data modeling to align analytics solution with the business strategies. The primary objective for this position is to create information, tools and resources that will provide a competitive advantage for the organsiation. The position would require working closely with cross functional team members across the organization.
Essential Duties and Responsibilities
Be a key participant and provide analytics supports in projects related to commercial excellence process improvements for the Global Commercial Operations organization to support operational and strategic decision-making.
Be responsible for developing and managing all Qliksense dashboards.
Provide expertise in mathematical modeling, statistics, or other quantitative techniques to develop and make strategic business decision recommendations.
Develop analytical solutions and key metrics around Commercial excellence, pricing, Demand & Forecasting, S&OP, and Marketing Operations process improvements.
Participate in the creation and performance of the data health and quality roadmap to improve the quality and solve of dashboards, tools, & reporting
Support the development and execution of predictive analytics roadmap to improve Sales Executions and productivity.
Work with functional teams and users to support the implementation and execution of proposed solutions and toolsets. This will include creating appropriate training and support materials for end users as well as maintenance of the solution tools.
Interface and share best practices.
Other duties as assigned.
Qualifications
Knowledge and Skills
Self-starter with strong analytical, critical thinking and problem-solving skills; able to work independently as well as in fast-paced, cross-functional teams.
Experience with business requirement gathering methods. Experience working with Scrum methodology is preferred.
Good programming and data management skills (VBA, databases, SQL) as well as business management and personal productivity applications (e.g., MS Office)
Advanced level MS Excel with strong mathematical and analytic skills.
Minimum 1-2 years of experience with mining data from Relational Database Management System. Familiarity with Oracle SQL is preferred.
Familiar with the use of optimization, simulation, and statistical analysis (R, Python).
1-2 years of experience with designing and developing Qliksense preferred
1-2 years of experience with other BI Analytics tools such as Tableau/PowerBI will be plus.
Independent learner with a strong interest in broadening the competencies of the organization as well as extending his/her personal knowledge.
Strong analytical skills are required.
Proven ability to handle multiple priorities in a continuously changing environment.
Strong communication skills with experience with communicating across all levels of organization
Education
Bachelor’s Degree in a technical field (Information Systems, Computer Science, Engineering)
…
Require someone who worked on – python/R – Descriptive analytics/ predictive analytics/ stastical modeling, machine learning algorithms, data cleaning(pandas,numpy), Data Science, Mysql, AWS Redshift
Commercial Operations BI Developer
Responsibilities and Scope:
This role resides in the Commercial Analytics team and supports the Global Commercial Operations organization. He or she will develop systems to collect, analyze, visualize data and use it to report daily, weekly, monthly and yearly measurements of business performance. He or she will develop and execute data mining, statistical analyses and data modeling to align analytics solution with the business strategies. The primary objective for this position is to create information, tools and resources that will provide a competitive advantage for the organsiation. The position would require working closely with cross functional team members across the organization.
Essential Duties and Responsibilities
Be a key participant and provide analytics supports in projects related to commercial excellence process improvements for the Global Commercial Operations organization to support operational and strategic decision-making.
Be responsible for developing and managing all Qliksense dashboards.
Provide expertise in mathematical modeling, statistics, or other quantitative techniques to develop and make strategic business decision recommendations.
Develop analytical solutions and key metrics around Commercial excellence, pricing, Demand & Forecasting, S&OP, and Marketing Operations process improvements.
Participate in the creation and performance of the data health and quality roadmap to improve the quality and solve of dashboards, tools, & reporting
Support the development and execution of predictive analytics roadmap to improve Sales Executions and productivity.
Work with functional teams and users to support the implementation and execution of proposed solutions and toolsets. This will include creating appropriate training and support materials for end users as well as maintenance of the solution tools.
Interface and share best practices.
Other duties as assigned.
Qualifications
Knowledge and Skills
Self-starter with strong analytical, critical thinking and problem-solving skills; able to work independently as well as in fast-paced, cross-functional teams.
Experience with business requirement gathering methods. Experience working with Scrum methodology is preferred.
Good programming and data management skills (VBA, databases, SQL) as well as business management and personal productivity applications (e.g., MS Office)
Advanced level MS Excel with strong mathematical and analytic skills.
Minimum 1-2 years of experience with mining data from Relational Database Management System. Familiarity with Oracle SQL is preferred.
Familiar with the use of optimization, simulation, and statistical analysis (R, Python).
1-2 years of experience with designing and developing Qliksense preferred
1-2 years of experience with other BI Analytics tools such as Tableau/PowerBI will be plus.
Independent learner with a strong interest in broadening the competencies of the organization as well as extending his/her personal knowledge.
Strong analytical skills are required.
Proven ability to handle multiple priorities in a continuously changing environment.
Strong communication skills with experience with communicating across all levels of organization
Education
Bachelor’s Degree in a technical field (Information Systems, Computer Science, Engineering)
experience
5
skills
AWS
MySQL
Redshift
qualifications
B.E/B.Tech
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