Lead Data Analyst - A/B Testing
Description: Target is an iconic
brand, a Fortune 50 company and one of America's leading retailers. Behind one
of the world's best-loved brands is a uniquely capable and brilliant team of
data scientists, engineers and analysts. Join Target's Testing
& Measurement team where your goal will be to accelerate omni-channel
experimentation to foster a culture of continuous innovation at Target. We
believe that continuous innovation is critical to delivering and exceeding our
brand promise of “Expect More Pay Less” to Target's guests irrespective of
their preferred channel of engagement and commerce. You will enable continuous
innovation and drive business performance via testing and measurement
(experimentation). We play a key role in identifying the test-and-measure or
A/B test opportunities that continuously help Target improve the guest
experience, whether they love to shop in stores or at Target.com. A role with Target
Testing & Measurement is a chance to help develop our in-house strength for
getting the maximum value from Target's many data assets. We see data as a
product and an opportunity to experiment and refine our approach to new guest
experiences. This is how we bring to life what wasn't possible yesterday, and
generate new revenue sources for Target in the process. Our purpose is to
accelerate omni-channel A/B testing to fuel the continuous innovation that we
believe is the key to exceeding guest expectations in our stores and digital
channels. Together, we positively impact changes to various initiatives,
processes and interdependencies that require exceptional data collection,
measurement and analysis—ultimately leading to quicker and more meaningful
decision-making at Target. This is a role for someone passionate about data,
feature experimentation and business strategy.As a Lead Data Analyst
Testing &Measurement, you'll take the lead as you… Serve as an advocate of
our data-driven culture, work closely with Product and Engineering helping them
use insights that will direct their efforts towards initiatives with the
highest impact. Analyze and explore data
in our Hadoop ecosystem, work with the product manager to design in-product
experiments, analyze the results, and provide strategic recommendations. You'll
use your analytical expertise to help determine priorities in our 2019 roadmap.
Synthesize analysis and
results in compelling storylines and communicate to key stakeholders. You
should have the ability to tell a story around the problem, the solution and
the impact and value of implementing a solutionPartner closely with our
Product Managers to identify gaps in product offering by conducting
comprehensive data analysis. Define data to be
collected for measuring the success of new product features, define KPIs, and
work with engineering on tracking and instrumentation of data. Conquer query
optimization problems on large data sets. Design and build
self-service dashboards using a mixture of analytical and visualization
techniques to derive actionable insight from data to influences business and
product decisionsDemocratize data and
insights as you strive to deliver self-service tools to your partners and
enable them to make better decisions quicker. Deliver dashboard
reporting and hold products and businesses accountable for results against
goals and objectives Job duties may change at
any time due to business needs. About You/Requirements:Bachelor's degree with
strong academic performance in a quantitative field; or strong equivalent
experience. Master's or better preferred.5+ years of work
experience in analytics, consulting, product, or engineeringProfessional work
experience in a technology company, start-up, or other analytical roles,
including: digital and brick and mortar A/B and multivariate testing (design,
execution and analysis), and predictive modelingIntermediate to advanced
SQL experience writing complex queriesSolid problem solving
and analytical skillsExperience working with
product managers and business leaders to develop product roadmaps and feature
developmentSupport conclusions with
analytical evidence using descriptive statistics, basic inferential statistics,
and data visualizationsAbility to identify and
succinctly summarize roadblocks, constraints, and trade-offs, propose potential
solutions, and drive toward resolutionIntellectually curious,
high energy and possess a strong work ethicCollaborate with your
peers for finding solutions to complex problems.Exceptional oral and
written communication skillsExperience in analytics
tools such as: SQL, Excel, R, Hadoop/Hive, DOMO, spark, etc. or equivalent
technologies
Qualifications:
Qualifications:
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