2 дня назад
Senior, Data Analyst
110 302 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior, Data Analyst (SQL/Python): Developing analytical reports, dashboards, data pipelines, and statistical analyses to solve complex business problems with an accent on data quality, visualization, predictive modeling, and stakeholder recommendations. Focus on identifying patterns and trends, performing root cause and A/B testing analyses, building models with Python and KNIME, and maintaining accurate product data across PowerBI dashboards.
Location: 811 Excellence Dr., Bentonville, AR 72716, United States
Salary: $110,302–$155,000 per year
Company
is the hiring organization for this data analytics role.
What you will do
- Translate business problems into data-related or mathematical solutions and recommend appropriate analytical methods and tools.
- Identify suitable data sources, perform initial data quality checks, and manage data quality issues, cleansing activities, access, and governance procedures.
- Design analytical reports, dashboards, and graphical representations for multiple data sets using appropriate visualization frameworks.
- Conduct exploratory data analysis, statistical tests, hypothesis analysis, and basic statistical modeling to identify patterns, trends, outliers, and correlations.
- Build data pipelines from multiple sources into a common data platform and maintain data integrity across product dashboards.
- Present findings to stakeholders, provide business recommendations, support product backlog prioritization, and mentor junior associates.
Requirements
- Master’s degree or equivalent in Engineering, Analytics, Computer Science, or a related field plus one year of relevant experience, or a bachelor’s degree plus two years of relevant experience.
- Experience building analytical reports and dashboards with PowerBI or Tableau.
- Experience performing analysis across multiple data sources using SQL and Python.
- Experience with predictive models using Python and KNIME, and data manipulation with Alteryx, SQL, and SAS.
- Experience with KPI definition and monitoring, data visualization, root cause analysis, and A/B testing.
- Experience building data pipelines and collaborating with stakeholders on product backlog prioritization and implementation.
Culture & Benefits
- Equal opportunity employer.
- Drug-free workplace with a zero-tolerance policy for illegal drugs and alcohol.
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