Senior Data Analyst

Description

Senior Data Analyst role based at 811 Excellence Dr, Bentonville, AR 72716.

You will work on analytics and cross-functional initiatives, with several work streams running at once and a Project Manager III, Innovation role you will sometimes cover.

Responsibilities

• Analyze and interpret data for one or more initiative work streams to improve efficiency, using a range of analytical methods.
• Propose creative fixes within business areas that cut costs or support business goals.
• Decide which tasks need doing and make sure the data is accurate.
• Lead one or more work streams of a cross-functional project: confirm the scope, set timelines and deliverables, run project team meetings to analyze, plan and deliver initiatives, and correct course when needed.
• Report results and deliverables to supervisors and stakeholders.
• Work with internal and external stakeholders to explain analysis results and findings.
• Build decision-support tools and business cases by condensing key information, deciding what must be reported, meeting customer needs and measuring each initiative's business impact.
• Cover for the Project Manager III, Innovation when they are absent: attend meetings, work with project members on specific projects and analyses, perform analyses, give directional advice on defined logistical issues, and decide which issues need escalating.
• Keep your expertise current and use it to build and improve action plans, advising others on information use and best practices, aligning work with customer and business needs, and gaining buy-in for your views.
• Build relationships with key stakeholders, identify business needs, put the right processes in place, track progress and results, act on improvement opportunities, and adjust to shifting priorities and organizational changes.
• Follow company policies, procedures, mission, values and ethics standards in business plans, use the Open Door Policy, and show others how to apply these in daily work.

Requirements

• A bachelor's degree in Computer Science or a related field, or an equivalent qualification, plus 2 years of experience in data analytics or a related field.
• Hands-on experience with exploratory analysis of time series using Python or SQL, and with Tableau.
• Experience with feature engineering in Python or SQL to surface insights.
• Experience visualizing time series data for performance analysis in Tableau or Power BI.
• Strong SQL, including window functions, procedural language and common table expressions for complex queries.
• Experience building forecasting metrics with statistical methods such as SMAPE, BIAS and MAE.
• Experience preparing input data through SQL-based data manipulation.
• Experience building data extraction, transformation and analytics pipelines with PySpark.
• Experience using GitHub for collaborative project management, including pull requests.
• Experience building efficient, scalable data pipelines with Python or SQL.
• Experience analyzing data with Python machine learning libraries such as Pandas, Scikit-learn and NumPy.
• Experience with these skills counts at any length.

Conditions

Pay is $93,434.00 to $155,000.00 per year.

Performance incentives are paid annually or quarterly.

The company is an Equal Opportunity Employer.

The company is a drug-free workplace with zero tolerance for illegal drugs and alcohol on the job, and the policy covers all employees.

Benefits

• Competitive pay with performance-based incentive awards.
• Health coverage: medical, vision and dental.
• Financial benefits: 401(k), stock purchase and company-paid life insurance.
• Paid time off: PTO including sick leave, parental leave, family care leave, bereavement, jury duty and voting.
• Short-term and long-term disability cover.
• Education assistance, with the company paying 100% of college degree costs.
• Company discounts, military service pay, adoption expense reimbursement and more.
• Eligibility for some benefits depends on job classification and length of employment, and benefits may change or be subject to plan terms.