- Diagnose reasons for product feature gaps (data, model etc.) and hold development teams responsible > data quality
- Responsible for monitoring Demand forecast performance, identify forecast exceptions, root-cause drivers of defects and execute corrections to the forecasts.
- Partner with consumer product owners, inventory analysts, and inventory management operations team to understand opportunities and relay back with senior leadership team.
- Develop reports and presentations for various business stakeholders
- Work with teams across the Company on data quality and availability
- Develop new frameworks to collect data including automated data collection
- Collaborate with Data Warehouse and Engineering teams to manage relevant datasets within the Company
- Experience in a quantitative role at a product company
- A high level of organization and attention to detail
- Familiarity with Database interface tools, SQL, and Programming concepts
- Relevant experience within the Retail space along
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company.
- Bachelor's degree or equivalent work experience in a relevant business/domain.
- Hands-on experience with SQL, Data Manipulation, and Data Analysis.
- experience working with bad data turning it into a story
- Ability to work independently as an individual contributor, taking ownership of assigned tasks/projects. Capable of collaborating effectively in team environments, especially on large/complex projects.
- Flexibility to adapt to changing project requirements and reprioritizations.
- Strong verbal and written communication skills
- Exposure to working with large data platforms and handling sizable datasets is a plus.
- Snowflake, Cassandra or Vertica
- Mode/Tableau
- comfortability working with raw/ad data and the ability to create a story out of it
- 2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges.
- Scripting/development experience with Python, including working with Google APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus.
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Analyste reporting - Canada - Apex Systems
Description
Data Analyst (Catalog Analyst)Apex Systems is a global IT services provider, and our staffing practice has an opening in the Online Retail space for Data Analysts with strong experience in investigative data analysis that results in growth combined with experience in SQL, databases of a terabyte or more and optimum queries to place at our clientClient:
Ecommerce Shopping Technology EnterpriseTerms: 12 months with possibility of extensionStart date: ASAP
Office Location:
100% remote (within Canada)Must have experience:
Data Analysis and Interpretation:
Collect, analyze, and interpret data to identify trends and patterns affecting our Ads Taxonomy table. Translate data findings into actionable insights and recommendations for the core team.
Data Collection and Strategy:
Develop and implement effective data collection systems and strategies to support automation and integration projects. Ensure data accuracy, availability, integrity and reliability for various initiatives.
Identify process improvement opportunities and provide regular recommendations to enhance data-related processes.
SQL Expertise:
Utilize efficient SQL writing and querying techniques to troubleshoot issues directly within the Snowflake data warehouse. Optimize queries for performance and maintainability.
Data Workflows and Insights:
Work with data tools including SQL and Tableau to automate data workflows. Build meaningful insights through data visualizations, standardized reports, and dashboards for ad-hoc analyses.
ABOUT YOU
Nice to have:
