Ecommerce Data Analyst
1 month ago
Job Description
Job Summary (General Responsibilities):
We are looking for an experienced and talented Data Analyst to join Belkin’s e-commerce team, where you will analyze structured, semi-structured and unstructured big data sources to generate actionable insights for various strategic projects. By creating rich dashboards and data pipeline automations you’d scale analytical capabilities and enrich them through quality.
We’re looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving.
Specific responsibilities include:
Responsibilities include in 4 domains of data acquisition, analysis, communication and project management. Specifically:Data Acquisition: Develop automation of reporting by building SQL/Python pipelines. Be able to produce trustworthy reports by automating quality checksData Analysis: Proficiency in using dashboarding tools like Tableau to uncover trends, creating correct metrics and analyzing them with statistical rigor to understand business performance.Communication: Communicate analysis and work with business stakeholders to drive actions.Project Management: Be able to manage projects and deliverables in a timely manner. Focus on communicating workload status and providing visibility to manager on the same.Stay updated on industry trends and best practices in data analytics and visualization.Accountable for adhering to the organization and department procedures and guidelines, including maintaining a clean and safe work environmentFulfill responsibilities under ISO 9001 and 14001; understand and fully support ISO system.Support Company’s Affirmative Action initiatives, providing equal opportunity to employees and candidates.Uphold Company’s affirmative action plan and make good faith efforts to achieve affirmative action goals and timetables.Comply with Health and Safety requirements of Belkin.Maintain a safe and clean work environment.Understand and follow company rules and regulations.Perform all other duties as assigned and required.Education and Experience Requirements:
Bachelor’s degree in Computer Science, Math or Statistics.3 – 5 years of experience designing and implementing data science models, with the ability to perform data extraction, data cleaning, statistical modeling and data visualization.Having experience in Hypothesis testing is a plusProficiency with business intelligence tools for data visualization (e.g. Tableau, Power BI).Skilled in using SQL and PythonWhat you’re getting into
We’ve got big collaborative spaces for your big ideas, so bring an open mind and leave your suit in the closet. We all are committed to creating unique and rewarding consumer experiences. Everyone is interested in succeeding – for the team, for themselves and for the business. Cross-functionally and across the company, everyone has common goals and aspires to be their best.
You will learn something new or at least look at things differently every day. There are so many smart and creative people around that you’ll be motivated to pursue the ideal.
Team spirit is infectious. Belkin is an extremely open workplace, where communication is essential. Not every idea will be accepted, but you’ll be asked for your point of view. Innovation thrives on multiple and varied levels. At Belkin we challenge conventional wisdom and refuse to accept that something cannot be done.
We are committed to diversity. Belkin is an Equal Opportunity and Affirmative Action Employer M/F/D/V. We maintain a drug-free workplace.
All candidates applying for a job in the EMEA region, please review the Applicant Privacy notice HERE
Location:
El Segundo, CaliforniaRange for this position:
$54,000
Factors such as geographic location, academic credentials, relevant experience, and specific knowledge, skills and abilities will influence the actual salary offered. In addition to a competitive market-based salary, compensation also includes a performance-based bonus, and in addition to a full range of medical, financial, and/or other benefits. Further details can be found here.
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