Chat

iimjobs

jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
12/04 Shruti Gupta

Views:5382 Applications:642 Rec. Actions:Recruiter Actions:67

Business Analyst - Data Scientist - IIT (0-3 yrs)

Delhi/NCR Job Code: 139777

Business Analyst – Data Scientist/Engineer (0-3 Years)

- Top US Banking/Payments company is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions to help financial institutions, merchants, media, and governments manage their businesses more effectively.

- Be a part of 1 of the best company in the world that is developing consumer insights that are reshaping how businesses make decisions.

- Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management and econometrics.

- Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.

Major Responsibilities:

- Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth

- Translate business requirements into tangible solution specifications and high quality, on time deliverables

- Develop innovative solutions leveraging new analytical methodologies and tools to reduce costs and improve worldwide product and project delivery

- Work directly with one of the world’s largest data warehouses to deliver optimized data extracts, data visualizations, and detailed reports to support consulting engagements, campaign measurement, business intelligence, predictive modeling, and scoring applications.

- Develop/enhance routine data processes

- Apply quality control, data validation, and cleansing processes to new and existing data sources

- Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals

- Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite

- Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions.

- Generates key hypotheses and independently structures work at the work stream or project level

- Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level.

- Reviews analytics end-products to ensure accuracy, quality and timeliness.

- Develops effective working relationships with global teams and business partners

- Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight

Qualification and Skills Required:

- 0 -3 years of experience in hands-on programming, Analytics, data mining, data modeling, and report development using large volumes of granular data to deliver analytical solutions

- Bachelors/Masters in Engineering (only IIT's) or quantitative discipline with an emphasis on business applications. Candidates from Delhi School of Economics (DSE) /Indian Institute of Statistics (ISI) may also apply

- Looking for candidates 2011 - 2014 Batch only

Preferred Skills :

- SAS, MS-Excel and PowerPoint skills.

- Platforms/Environments: Unix, SAS, SQL, Netezza, VBA, BI software

- Experience in financial sector and payments industry preferred

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

Add a note
  • Apply
  • Assess Yourself
  • Save
  • Insights
  • Follow-up
Something suspicious? Report this job posting.