This role will function as the Senior Analyst of Digital Products Analytics, responsible for analyzing our data for insights to develop, launch and drive success for our digital experiences/digital products. The candidate must possess high level of problem-solving skills and be comfortable to identify trends and patterns in the data using quantitative, qualitative, and data analysis skills.
The individual contributor will be part of a fast-paced team and environment, that is leading the digital transformation for a 100+ year old brand in the Automotive Retail space. Will possess strong problem-solving skills, with preferable experience in an omni-channel retail environment, working with cross-functional partners.
responsibilities :
Develop data-driven insights that inform business decisions across customer segments, channels, categories and business initiatives.
Use advanced data modeling and analysis techniques to guide strategic decisions and optimize business outcomes for stakeholders in Product, Marketing, Operations, Merchandising and UX.
Streamline and improve processes for data intake, validation, mining, engineering, modeling, visualization and communication.
Present regular data insights and metrics to business partners in a clear and accessible way.
Own analytics deliverable and communication end to end – through scoping, design, development, and delivery.
requirements-expected :
Bachelors in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
3+ years of experience in analytics.
Understanding and experience of analytical concepts and statistical techniques, such as hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations.
Hands on experience and knowledge of statistical modeling techniques, such as multiple regression, logistic regression, log-linear regression, clustering, time series forecasting, attribution, RFM, etc.
Experience with SQL, PowerBI/Tableau, Python/R.
Experience analyzing large datasets such as clickstream data, combining with offline/other data sources.
Experience with Adobe/ Google Analytics.
Strong problem solving, quantitative, qualitative and analytical abilities.
Excellent communication skills with the ability to convey complex analytics concepts to non-technical stakeholders.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
