Data Ecosystem Specialist

3 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878
Job Opportunity

A role in our team means being part of a group that enables faster, smarter and more scalable decision-making to compete and win the modern retail market. Here, you will leverage data, statistics and visualization to create actionable insights that deliver value across all functions. Our savvy reporting and analytics professionals use market-leading tools and data automation to make a positive impact that is felt across the business.

About This Role:

  • Support all business areas with critical data analysis that helps team members make profitable decisions.
  • Become a data expert or business analyst and utilize tools like decision trees, clustering, regression, time series, structural equation modeling, linear programming, SQL, VBA and OLAP.
  • Interface with business representatives and leaders to validate business requirements/requests for reporting solutions.
  • Determine best methods to gather data and present information.
  • Build reporting solutions to meet business needs.
  • Communicate with project/team manager to share knowledge and findings.
  • Document design and requirements for reporting solutions.

What We Are Looking For:

  • 6-10 years of overall industry experience with 4-6 years in data ecosystem.
  • Proven hands-on experience with Domo, Tableau & other visualization tools (incl homegrown platforms) and a deep understanding of core DW/BI concepts.
  • Strong SQL or PL/SQL programming & Unix shell scripting skills.
  • Hands on experience in object oriented or functional programming such as Scala &/or Python or Java.
  • Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, should have experience in developing Hive and Pig Scripts, should have experience in designing and developing Oozie workflows.
  • Git source code management.
  • Experience working in an agile environment.
  • Exposure to R, Python, Hive or other open source languages.
  • Understanding of foundational mathematics and statistics.
  • Conceptual understanding of analytical techniques like Linear Regression, Logistic Regression, Time-series models, Classification Techniques, etc.
  • Strong written and verbal communication skills to explain complex analytical methodologies to clients regardless of their technical expertise.
  • Any experience with Retail, Merchandising, Marketing will be strong additions.

Requirements:

  • B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent.

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