Talent.com
Business Intelligence Engineer II

Business Intelligence Engineer II

iSoftTek Solutions IncSeattle, WA, US
job_description.job_card.30_days_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
  • serp_jobs.filters_job_card.quick_apply
job_description.job_card.job_description

Position :  Business Intelligence Engineer II

Location : Seattle, WA 98109

Duration : 7 Months

Job Type :  Contract

Work Type :   Hybrid

Note : Need a BI Engineer who has experience with SQL, Tableau, AWS

Job Description :

  • The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions.
  • The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships.
  • This role will impact and inform how the client executes its SnS business across its replenishment business.
  • The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams.
  • Great communication skills, ability to think big and influence across the client teams and high ownership to deliver successful results will be essential.

Key job responsibilities

  • Holistically architecting an end-to-end BI landscape that activates reporting, analysis & insights for the SnS business that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & story-telling to drive the business forward.
  • Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.
  • Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.
  • Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, vendor managers, finance partners, and stakeholder partner teams.
  • Challenging existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.
  • Partnering across the SnS teams as well as the central CADE team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.
  • Scaling roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.
  • Understanding the value chain within the broader site experience to inform new insights on customer engagement.
  • Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business

    • Key projects :

  • Migrations to new unions, move data types into new system, support engineers and stakeholders, assist in creation of metadata application layer to better upkeep data landscape

    • Typical Day in the Role :

    Day to Day :

  • Assist stake holders in business management
  • Join meetings to talk through issues and solutions
  • Partner with team members to architect solutions for stakeholders
  • Writing SQL code to pull correct data sets
  • Meet time lines
  • Team size 5 team members
  • Interaction level with team : high collaboration from day 1 until they get to a point where they can work independently with assistance from team and stake holders
  • Chance for conversion or extension : yes based on org’s needs and performance

    • Candidate Requirements :

    Qualifications

  • 2-5 years of experience working with large-scale complex datasets
  • Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
  • 4 -6 years of Strong working knowledge of SQL, Python, Tableau (or Quicksight)
  • Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
  • Background (academic or professional) in statistics, programming, and marketing
  • Graduate degree in math / statistics, computer science or related field is highly desirable.
  • Excellent communication skills, equally adept at working with engineers as well as business leaders

    • Degree :

  • bachelors is relative field (masters preferred)

    • Nice to have;

  • Former experience with AWS / aws REDSHIFT
  • Statistical analysis experience

    • Best :

  • Meets all qualifications and Nice to haves, someone with a desire to learn and drive business to completion, High initiative and curiosity,

    • Red Flag :

  • Someone who does not take responsibility, not team oriented or has ownership mindset
  • Performance indicators : meeting of deliverables and deadlines

    • Top 3 must-have hard skills :

  • 4 -6 years  of Strong working knowledge of SQL, Python, Tableau (or Quicksight)
  • 2-5  years of experience working with large-scale complex datasets
  • Background (academic or professional) in statistics, programming, and marketing (masters preferred)
    • serp_jobs.job_alerts.create_a_job

    Engineer Ii • Seattle, WA, US