pythonsqlgitpower bitableaumachine learningdata analyticspysparkdata pipelinestime series analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$93к-155к/год
$110к$140кмедиана$150к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $3.3к/мес ($2.7к - $4.4к)
80
Хорошая вакансия
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В Company hidden хорошо описана аналитическая роль с практической работой на Python, SQL и PySpark, но сочетание уровня Senior с требованием от двух лет опыта оставляет уровень позиции не вполне ясным.
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Неясный уровеньАктуальный стекШирокий соцпакет
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Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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