Business Intelligence Engineer

Year    Bengaluru, Karnataka, India

Job Description

Basic Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline
  • 5+ years of work experience of analyzing and interpreting data as a business intelligence engineer, data scientist, data engineer, or at a similar capacity
  • Experience with data warehousing and business intelligence tools, techniques and technology
  • Experience analyzing data or technical issues to create effective solutions
  • Experience with analytics, business analysis, or comparable consumer analytics solutions
  • Experience with SQL, Relational databases, and/or Big Data
  • Experience with data warehousing concepts and coding in at least one modern programming language (Python, R)
  • Experience with data mining, including ETL, and using databases in a business environment with multiple datasets
  • Experience using business intelligence reporting tools like QuickSight and Tableau
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a highly respected e-commerce platform. As an extension of this, Amazon encourages sellers/vendors to offer products to Amazon customers through various advertising channels. We as a part of Advertiser Success Analytics team own roadmap for advanced analytics and insights across search and display advertising products and help drive success for advertisers. Advertiser success is core to Amazon's growth, as it helps drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
In this role, you will work in one of the complex data environments and will innovate on behalf of our advertising customers. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You will guide our businesses by pushing the boundaries of data analytics and science to solve analytics problems in a fast-moving environment. The successful candidate will be a self-starter, comfortable with ambiguity, and will have strong attention to detail. You will need to collaborate effectively with internal stakeholders and cross-functional teams to deliver successfully against high organizational standards. If you are passionate about creating the future, come join us as we work hard, have fun, and make history.
Key functions of this role:
  • Delivery of complex analysis/projects from initiation through implementation
  • Write quality code to retrieve and analyze data. Understand data resources and know how, when, and which to use (and which not to use). Leveraging code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems
  • Enable customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses. Source, work with, and combine disparate data sets to answer business questions.
  • Communicate analysis results and techniques, both verbally and in writing, clearly and confidently to peers and business partners
  • Perform proactive diagnostic analysis on various measures and surface meaningful insights to the leadership team
  • Collaborate on the design, development, maintenance, and delivery/presentation of regression, classification and clustering models, metrics, reports, analyses, tools, and dashboards
  • Build dashboards and automate reporting
Preferred Qualifications:
  • 6+ years of professional experience in analytics, data engineering, and business intelligence
  • Basic statistical tests including, but not limited to, t-tests, chi-square, and regression
  • Proficiency with statistical/data modeling software packages (e.g. R, SPSS, Python)
  • Knowledge of AWS Infrastructure including S3, Redshift, DynamoDB and RDS
  • Proven ability to look at solutions in unconventional ways, identify opportunities to innovate, and lead the way
  • Proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred

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Job Detail

  • Job Id
    JD2194037
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bengaluru, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year