(USA) Senior, Data Analyst
About The Position
As a Senior Data Analyst, you will leverage advanced data management and analytical techniques to identify, assess, and optimize data sources that support business objectives. This role requires translating complex business requirements into actionable insights through rigorous data quality management, exploratory analysis, and effective visualization. You will collaborate across functions to align data strategies with organizational goals, ensuring data-driven decision-making and continuous improvement. Your expertise will guide the development of scalable solutions that enhance operational efficiency and deliver measurable business value within a dynamic environment. The team supports prioritizing technology needs and collaborates with business stakeholders to align with strategic goals. It leads the development of Business Requirement Documents, manages sprint planning, and evaluates trade-off decisions. The team coordinates Proof of Concepts and contributes to implementation planning while providing analytical and consultative support to functional leadership. It translates business strategies into actionable analytics initiatives, partners with leadership to identify key customer insights, and assists in developing testing and validation methodologies. The team leverages expertise in data management, optimization software, root cause analysis, and user story development to drive informed decision-making.
Requirements
- Extensive experience in data management, including knowledge of SQL, NoSQL, and distributed data stores.
- Proficiency in data quality management techniques, data profiling, cleansing, and monitoring to ensure accuracy and reliability.
- Strong analytical skills with expertise in exploratory data analysis, statistical methods, and relevant tools such as Python and SQL.
- Ability to translate complex business requirements into data-driven solutions aligned with strategic objectives.
- Skilled in data visualization using tools like Tableau, PowerBI, and Python libraries to effectively communicate insights.
- Understanding of data governance, storage, scalability, and enterprise data architecture principles.
- Proven capability to collaborate cross-functionally and mentor junior analysts.
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field.
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- 4 years' experience in data analysis, data science, statistics, or related field.
- As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Nice To Haves
- Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
- Related industry experience (for example, retail, merchandising, healthcare, eCommerce)
- Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
Responsibilities
- Lead the development of Business Requirement Documents (BRDs), and assist in evaluating trade-off decisions.
- Coordinate Proof of Concepts (POCs) and contribute to implementation planning.
- Provide analytical and consultative support to functional leadership.
- Translate business strategies into actionable analytics initiatives that support customer and business objectives.
- Assist in developing testing and validation methodologies.
- Lead in analyzing critical data sets to support new capabilities, enhance functionality, and address business challenges.
- Work closely with cross-functional teams to deliver consultative solutions that meet business needs.
- Foster alignment on data analysis strategies and ensure stakeholder engagement.
- Maintain and grow relationships with external partners and vendors.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption expense reimbursement
- Surrogacy expense reimbursement
- Live Better U education benefit program (for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
