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Senior Data Analyst (Python/SQL)

93 434 - 155 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst (Python/SQL): Analyzing time-series and business data, developing scalable data pipelines, and building decision-support tools with an accent on exploratory analysis, forecasting metrics, and cross-functional project delivery. Focus on feature engineering, complex SQL, PySpark pipelines, Tableau or Power BI visualization, and machine-learning-based data investigation.

Location: 811 Excellence Dr, Bentonville, AR 72716, United States; onsite

Salary: $93,434.00–$155,000.00/year, plus annual or quarterly performance incentives

Company

hirify.global operates within Walmart, a large retail and commerce organization.

What you will do

  • Analyze and interpret data for initiative work streams using exploratory, statistical, and analytical methodologies.
  • Develop creative solutions, business cases, decision-support tools, and scalable data extraction, transformation, and analytics pipelines.
  • Perform feature engineering, data manipulation, forecasting analysis, and time-series visualization.
  • Lead work streams in cross-functional projects by organizing timelines and deliverables, facilitating meetings, addressing issues, and reporting results.
  • Collaborate with internal and external stakeholders to communicate analytical findings and support business decisions.
  • Provide expert guidance, monitor implementation progress, and identify improvement opportunities while adapting to changing priorities.

Requirements

  • Bachelor’s degree or equivalent in Computer Science or a related field, plus 2 years of experience in data analytics or a related field.
  • Experience performing exploratory data analysis on time series using Python, SQL, and Tableau.
  • Experience with feature engineering using Python and SQL; complex SQL queries including window functions, procedural language, and common table expressions; and SQL-based data manipulation.
  • Experience visualizing time-series data for performance analysis using Tableau or Power BI.
  • Experience creating forecasting metrics using statistical methods such as SMAPE, BIAS, and MAE.
  • Experience developing data extraction, transformation, and analytics pipelines using PySpark, and building efficient and scalable data pipelines with Python and SQL.
  • Experience using GitHub for collaborative project management and creating pull requests.
  • Experience investigating data with machine-learning Python libraries including Pandas, Scikit-learn, and NumPy.
  • Employer will accept any amount of experience with the required skills.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • Financial benefits include 401(k), stock purchase opportunities, and company-paid life insurance.
  • Paid time off includes PTO and sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Additional benefits include short- and long-term disability, education assistance with 100% company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
  • Performance-based incentive awards are available; benefit eligibility depends on job classification and length of employment and may be subject to plan terms.
  • The role follows company policies, ethics standards, and a drug-free workplace policy.

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