Lead Data Analyst - Digital Measurement

Expiring today

Minneapolis, Minnesota, United States
Jun 30, 2018
Jul 20, 2018
Employment Status
Full Time
Description: JOIN US AS A LEAD DATA ANALYST - DIGITAL/MOBILE TESTING AND MEASUREMENTAs the Lead Data Analyst in Target's Enterprise Data team you'll operate in the intersection of the business, data and technology within our fast paced, hyper-growth environment of Digital/.com analytics.  You'll collaborate with Technical Product Owners and businesses within Target.com, Mobile, TGA and Target Media Network to uncover insights and program solutions to large scale data challenges. You'll also work with senior leaders across the Digital landscape to shape the future of Target with a rigorous data mindset. Use your skills and experience to be a part of groundbreaking and visionary goals.  As a Lead Data Analyst, you'll take the lead as you…
  • Work independently and with partners to define problems and create solutions using advanced statistics, testing methods, data analysis, data mining, predictive modeling, optimization and machine learning
  • Monitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise using prescriptive and predictive analytics
  • Standardize, automate and evangelize data definitions, concepts, methods, reports, metrics across multiple teams (Analyst and Data Scientists)
  • Responsible for exploring and researching data based on data platforms, tools, and algorithm models and extract findings and insights
  • Provide recommendations based on data analysis. Isolate, identify and communicate data issues and own data quality for the data produced
  • Drive acceptance of data solutions and influence decision-makers with the results of your analysis
  • Deliver dashboard reporting and hold products and businesses accountable for results against goals and objectives
  • Bachelor's degree in a technical/analytics field
  • 6+ years of experience working in Digital/Web analytics and reporting with voluminous data
  • Expert level knowledge on a database/query/computing language (SQL,R, Python)
  • Foundational understanding of Machine Learning, Statistics (ex: Regression Analysis, Significance, A/B Testing) and solid mathematical skillsets
  • Strong knowledge in ETL, Data Warehousing, Data Modeling and Data Quality concepts
  • Solid programming skills with either Java or Python
  • Experience with data collection/logging, Big Data tools and technologies (Hadoop, Spark, Hive, etc.)
  • Excellent communication skills with the ability to speak to both business and technical teams as well as clearly translate ideas between them
  • Comfortable with ambiguity and open-ended problems
  • Desire and ability to learn new data technologies and concepts quickly as well as utilize at scale


Similar jobs

More searches like this

Similar jobs