At Home Pick we re proud to stand at the forefront of using the latest analytics tools and processes we re able to maximize our offerings and deliver unparalleled service and support. To help carry us even further we re searching for an experienced Business analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics including mining generation and visualization. Additionally this person should be committed to transforming data into readable goaloriented reports that drive innovation and growth.
Requirements
Responsibilities
- Work closely with project managers Operations & Client relations to understand and maintain focus on their analytics needs including critical metrics and KPIs and deliver actionable insights to relevant decisionmakers
- Proactively analyze data to answer key questions for stakeholders or yourself with an eye on what drives business performance and investigate and communicate which areas need improvement in efficiency and productivity
- Create and maintain rich interactive visualizations through data interpretation and analysis with reporting components from multiple data sources
- Define and implement data acquisition and integration logic selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
- Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets
Required skills and qualifications
- Three or more years of experience mining data as a data analyst
- Proven analytics skills including mining evaluation and visualization
- Technical writing experience in relevant areas including queries reports and presentations
- Strong SQL or Excel skills with aptitude for learning other analytics tools
Preferred skills and qualifications
- Bachelor s degree (or equivalent) in mathematics computer science economics or statistics
- Experience with database and model design and segmentation techniques
- User experience: Knowledge of eCommerce user experience design principles.
- Practical experience in statistical analysis through the use of statistical packages including Excel SPSS and SAS
- A/B testing: Experience with eCommerce A/B testing.
- Proven success in a collaborative teamoriented environment
Responsibilities Work closely with project managers, Operations & Client relations to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets Required skills and qualifications Three or more years of experience mining data as a data analyst Proven analytics skills, including mining, evaluation, and visualization Technical writing experience in relevant areas, including queries, reports, and presentations Strong SQL or Excel skills, with aptitude for learning other analytics tools Preferred skills and qualifications Bachelor s degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques User experience: Knowledge of eCommerce user experience design principles. Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS A/B testing: Experience with eCommerce A/B testing. Proven success in a collaborative, team-oriented environment